Scholars@Duke
Matthew M. Engelhard

Matthew M. Engelhard

Assistant Professor of Biostatistics & Bioinformatics
Biostatistics & Bioinformatics, Division of Translational Biomedical
m.engelhard@duke.edu
2424 Erwin Rd, Durham, NC 27705

Selected Publications

Discrete Time Neural Network Models to Address Time-Varying Predictor Importance: An Illustration in Predicting Mortality Over Different Time Horizons.

Journal Article IEEE J Biomed Health Inform · January 2026 Clinical predictive models (CPMs) are crucial for forecasting patient outcomes using available electronic health record (EHR) data. Traditional time-to-event (TTE) models, like the Cox proportional hazards model, assume that hazard ratios remain constant o ... Full text Link to item Cite

Using mixture cure models to address algorithmic bias in diagnostic timing: autism as a test case.

Journal Article JAMIA Open · December 2025 OBJECTIVES: To address algorithmic bias in clinical prediction models related to the timing of diagnosis, we evaluated the efficacy of mixture cure models that integrate time-to-event and binary classification frameworks to predict diagnoses. MATERIALS AND ... Full text Link to item Cite

Machine Learning Risk Prediction for Treated Retinopathy of Prematurity in Infants.

Journal Article Neonatology · November 18, 2025 INTRODUCTION: Retinopathy of prematurity (ROP) is a leading cause of childhood blindness. However, current screening guidelines may be overly broad, necessitating better models to detect high-risk infants. METHODS: From a multicenter cohort of 103,701 infa ... Full text Link to item Cite

FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport.

Journal Article Proc AAAI ACM Conf AI Ethics Soc · October 2025 Fairness metrics utilizing the area under the receiver operator characteristic curve (AUC) have gained increasing attention in high-stakes domains such as healthcare, finance, and criminal justice. In these domains, fairness is often evaluated over risk sc ... Full text Open Access Link to item Cite

Development and Validation of a Predictive Model for Maternal Cardiovascular Morbidity Events in Patients With Hypertensive Disorders of Pregnancy.

Journal Article Anesth Analg · August 1, 2025 BACKGROUND: Hypertensive disorders of pregnancy (HDP) are a major contributor to maternal morbidity, mortality, and accelerated cardiovascular (CV) disease. Comorbid conditions are likely important predictors of CV risk in pregnant people. Currently, there ... Full text Link to item Cite

Borrowing From the Future: Enhancing Early Risk Assessment through Contrastive Learning.

Conference Proc Mach Learn Res · August 2025 Risk assessments for a pediatric population are often conducted across multiple stages. For example, clinicians may evaluate risks prenatally, at birth, and during WellChild visits. While predictions at later stages typically achieve higher accuracy, it is ... Link to item Cite

Balancing Interpretability and Flexibility in Modeling Diagnostic Trajectories with an Embedded Neural Hawkes Process Model.

Conference Proc Mach Learn Res · August 2025 The Hawkes process (HP) is commonly used to model event sequences with self-reinforcing dynamics, including electronic health records (EHRs). Traditional HPs capture self-reinforcement via parametric impact functions that can be inspected to understand how ... Link to item Cite

Impact of Medical Conditions and Area Deprivation on Fundraising Success in Online Crowdfunding: Cross-Sectional Study.

Journal Article J Med Internet Res · July 29, 2025 BACKGROUND: Web-based crowdfunding is commonly used to defray medical expenses, but it is not fully known which factors determine fundraising success. Previous studies have usually focused on a single disease category at a time or a small number of mutuall ... Full text Link to item Cite

Effects of initial nicotine exposure on cognition and nicotine reinforcement among non-smoking young adults with and without attention deficit hyperactivity disorder.

Journal Article J Psychopharmacol · July 2025 BACKGROUND: People with attention deficit hyperactivity disorder (ADHD) use nicotine products at higher rates than those without. Greater initial sensitivity to nicotine's cognitive effects may explain this association. AIMS: This study examined associatio ... Full text Link to item Cite

IRIS: Interpretable Retrieval-Augmented Classification for Long Interspersed Document Sequences.

Journal Article Proc Conf Assoc Comput Linguist Meet · July 2025 Transformer-based models have achieved state-of-the-art performance in document classification but struggle with long-text processing due to the quadratic computational complexity in the self-attention module. Existing solutions, such as sparse attention, ... Open Access Link to item Cite

Prediction of mental health risk in adolescents.

Journal Article Nat Med · June 2025 Prospective prediction of mental health risk in adolescence can facilitate early preventive interventions. Here, using psychosocial questionnaires and neuroimaging measures from over 11,000 children in the Adolescent Brain and Cognitive Development Study, ... Full text Link to item Cite

Exploring trade-offs in equitable stroke risk prediction with parity-constrained and race-free models.

Journal Article Artif Intell Med · June 2025 A recent analysis of common stroke risk prediction models showed that performance differs between Black and White subgroups, and that applying standard machine learning methods does not reduce these disparities. There have been calls in the clinical litera ... Full text Link to item Cite

Predicting Partially Observed Long-Term Outcomes with Adversarial Positive-Unlabeled Domain Adaptation.

Conference Proc Mach Learn Res · June 2025 Predicting long-term clinical outcomes often requires large-scale training data with sufficiently long follow-up. However, in electronic health records (EHR) data, long-term labels may not be available for contemporary patient cohorts. Given the dynamic na ... Link to item Cite

1017 Feasibility and Acceptability of SHEETS: A New Digital Intervention for Enhancing Sleep Regularity in Adolescents

Conference SLEEP · May 19, 2025 AbstractIntroductionAdolescence is associated with irregular sleep patterns, which in turn increases risk of onset and maintenance of ... Full text Cite

Limitations of Binary Classification for Long-Horizon Diagnosis Prediction and Advantages of a Discrete-Time Time-to-Event Approach: Empirical Analysis.

Journal Article JMIR AI · March 27, 2025 BACKGROUND: A major challenge in using electronic health records (EHR) is the inconsistency of patient follow-up, resulting in right-censored outcomes. This becomes particularly problematic in long-horizon event predictions, such as autism and attention-de ... Full text Link to item Cite

Improving Artificial Intelligence-based Microbial Keratitis Screening Tools Constrained by Limited Data Using Synthetic Generation of Slit-Lamp Photos.

Journal Article Ophthalmol Sci · 2025 OBJECTIVE: We developed a novel slit-lamp photography (SLP) generative adversarial network (GAN) model using limited data to supplement and improve the performance of an artificial intelligence (AI)-based microbial keratitis (MK) screening model. DESIGN: C ... Full text Link to item Cite

Predicting Patient Preferences Using Large-Language-Models (LLM)

Conference PATIENT-PATIENT CENTERED OUTCOMES RESEARCH · 2025 Cite

A conditional multi-label model to improve prediction of a rare outcome: An illustration predicting autism diagnosis.

Journal Article J Biomed Inform · September 2024 OBJECTIVE: This study aimed to develop a novel approach using routinely collected electronic health records (EHRs) data to improve the prediction of a rare event. We illustrated this using an example of improving early prediction of an autism diagnosis, gi ... Full text Link to item Cite

Incorporating informatively collected laboratory data from EHR in clinical prediction models.

Journal Article BMC Med Inform Decis Mak · July 24, 2024 BACKGROUND: Electronic Health Records (EHR) are widely used to develop clinical prediction models (CPMs). However, one of the challenges is that there is often a degree of informative missing data. For example, laboratory measures are typically taken when ... Full text Open Access Link to item Cite

Maternal Morbidity According to Mode of Delivery Among Pregnant Patients With Pulmonary Hypertension.

Journal Article Anesth Analg · May 1, 2024 BACKGROUND: Patients with pulmonary hypertension have a high risk of maternal morbidity and mortality. It is unknown if a trial of labor carries a lower risk of morbidity in these patients compared to a planned cesarean delivery. The objective of this stud ... Full text Link to item Cite

Adaptive Discretization for Event PredicTion (ADEPT).

Journal Article Proc Mach Learn Res · May 2024 Recently developed survival analysis methods improve upon existing approaches by predicting the probability of event occurrence in each of a number pre-specified (discrete) time intervals. By avoiding placing strong parametric assumptions on the event dens ... Link to item Cite

RobOCTNet: Robotics and Deep Learning for Referable Posterior Segment Pathology Detection in an Emergency Department Population.

Journal Article Transl Vis Sci Technol · March 1, 2024 PURPOSE: To evaluate the diagnostic performance of a robotically aligned optical coherence tomography (RAOCT) system coupled with a deep learning model in detecting referable posterior segment pathology in OCT images of emergency department patients. METHO ... Full text Link to item Cite

Synthetic Data Generation of Microbial Keratitis Slit Lamp Photos Using Limited Data

Conference INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE · 2024 Cite

Common Event Tethering to Improve Prediction of Rare Clinical Events

Conference Proceedings of Machine Learning Research · January 1, 2024 Learning to predict rare medical events is difficult due to the inherent lack of signal in highly imbalanced datasets. Yet, oftentimes we also have access to surrogate or related outcomes that we believe share etiology or underlying risk factors with the e ... Cite

MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for Pharmacovigilance

Conference Proceedings of Machine Learning Research · January 1, 2024 In the era of Large Language Models (LLMs), given their remarkable text understanding and generation abilities, there is an unprecedented opportunity to develop new, LLM-based methods for trustworthy medical knowledge synthesis, extraction, and summarizati ... Cite

On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models.

Conference Advances in neural information processing systems · January 2024 Deep neural networks (DNNs) lack the precise semantics and definitive probabilistic interpretation of probabilistic graphical models (PGMs). In this paper, we propose an innovative solution by constructing infinite tree-structured PGMs that correspond exac ... Full text Cite

Sex differences in the age of childhood autism diagnosis and the impact of co-occurring conditions.

Journal Article Autism Res · December 2023 Sex differences in the age of autism diagnosis during childhood have been documented consistently but remain poorly understood. In this study, we used electronic health records data from a diverse, academic medical center to quantify differences in the age ... Full text Link to item Cite

Severe Maternal Morbidity According to Mode of Delivery Among Pregnant Patients With Cardiomyopathies.

Journal Article JACC Heart Fail · December 2023 BACKGROUND: Women with cardiomyopathies are at risk for pregnancy complications. The optimal mode of delivery in these patients is guided by expert opinion and limited small studies. OBJECTIVES: The objective of this study is to examine the association of ... Full text Link to item Cite

Enhancing early autism prediction based on electronic records using clinical narratives.

Journal Article J Biomed Inform · August 2023 Recent work has shown that predictive models can be applied to structured electronic health record (EHR) data to stratify autism likelihood from an early age (<1 year). Integrating clinical narratives (or notes) with structured data has been shown to impro ... Full text Link to item Cite

Predictive Value of Early Autism Detection Models Based on Electronic Health Record Data Collected Before Age 1 Year.

Journal Article JAMA Netw Open · February 1, 2023 IMPORTANCE: Autism detection early in childhood is critical to ensure that autistic children and their families have access to early behavioral support. Early correlates of autism documented in electronic health records (EHRs) during routine care could all ... Full text Link to item Cite

Predictive Accuracy of Stroke Risk Prediction Models Across Black and White Race, Sex, and Age Groups.

Journal Article JAMA · January 24, 2023 IMPORTANCE: Stroke is the fifth-highest cause of death in the US and a leading cause of serious long-term disability with particularly high risk in Black individuals. Quality risk prediction algorithms, free of bias, are key for comprehensive prevention st ... Full text Link to item Cite

Screen media technology and ADHD in children and adolescents: Potential perils and emerging opportunities

Chapter · January 1, 2023 Screen media technology (SMT) use has become increasingly prevalent among youth, and is associated with a variety of negative outcomes, including poor sleep and impairments in several domains of cognitive functioning, including task-switching, attention, w ... Full text Cite

Sleep onset, duration, or regularity: which matters most for child adiposity outcomes?

Conference Int J Obes (Lond) · August 2022 BACKGROUND/OBJECTIVES: Sleep measures, such as duration and onset timing, are associated with adiposity outcomes among children. Recent research among adults has considered variability in sleep and wake onset times, with the Sleep Regularity Index (SRI) as ... Full text Link to item Cite

A Disease Identification Algorithm for Medical Crowdfunding Campaigns: Validation Study.

Journal Article J Med Internet Res · June 21, 2022 BACKGROUND: Web-based crowdfunding has become a popular method to raise money for medical expenses, and there is growing research interest in this topic. However, crowdfunding data are largely composed of unstructured text, thereby posing many challenges f ... Full text Link to item Cite

Regularity and Timing of Sleep Patterns and Behavioral Health Among Adolescents.

Journal Article J Dev Behav Pediatr · May 1, 2022 OBJECTIVE: Sleep is vital to supporting adolescent behavioral health and functioning; however, sleep disturbances remain under-recognized and undertreated in many health care settings. One barrier is the complexity of sleep, which makes it difficult for pr ... Full text Link to item Cite

Impact of daily caffeine intake and timing on electroencephalogram-measured sleep in adolescents.

Journal Article J Clin Sleep Med · March 1, 2022 STUDY OBJECTIVES: Caffeine use is ubiquitous among adolescents and may be harmful to sleep, with downstream implications for health and development. Research has been limited by self-reported and/or aggregated measures of sleep and caffeine collected at a ... Full text Link to item Cite

Disentangling Whether from When in a Neural Mixture Cure Model for Failure Time Data.

Journal Article Proc Mach Learn Res · March 2022 The mixture cure model allows failure probability to be estimated separately from failure timing in settings wherein failure never occurs in a subset of the population. In this paper, we draw on insights from representation learning and causal inference to ... Link to item Cite

Correction

Journal Article Journal of the American Academy of Child & Adolescent Psychiatry · March 2022 Full text Cite

Prediction of Smoking Risk From Repeated Sampling of Environmental Images: Model Validation.

Journal Article J Med Internet Res · November 1, 2021 BACKGROUND: Viewing their habitual smoking environments increases smokers' craving and smoking behaviors in laboratory settings. A deep learning approach can differentiate between habitual smoking versus nonsmoking environments, suggesting that it may be p ... Full text Link to item Cite

Patterns of Health Services Use Before Age 1 in Children Later Diagnosed With ADHD.

Journal Article J Atten Disord · October 2021 Background: Children with ADHD have 2 to 3 times increased health care utilization and annual costs once diagnosed, but little is known about utilization patterns early in life, prior to diagnosis. Quantifying early health services use among children later ... Full text Link to item Cite

5.22 Improving the Predictive Value of Self-Report in Adult ADHD Diagnosis

Conference Journal of the American Academy of Child & Adolescent Psychiatry · October 2021 Full text Cite

Identifying neural signatures of tobacco retail outlet exposure: Preliminary validation of a "community neuroscience" paradigm.

Journal Article Addict Biol · September 2021 An extensive epidemiological literature indicates that increased exposure to tobacco retail outlets (TROs) places never smokers at greater risk for smoking uptake and current smokers at greater risk for increased consumption and smoking relapse. Yet resear ... Full text Link to item Cite

Prediction of Smoking Risk From Repeated Sampling of Environmental Images: Model Validation (Preprint)

Journal Article · February 11, 2021 BACKGROUNDViewing their habitual smoking environments increases smokers’ craving and smoking behaviors in laboratory settings. A deep learning approach can differentiate between habitual ... Full text Cite

SpanPredict: Extraction of Predictive Document Spans with Neural Attention

Conference Naacl Hlt 2021 2021 Conference of the North American Chapter of the Association for Computational Linguistics Human Language Technologies Proceedings of the Conference · January 1, 2021 In many natural language processing applications, identifying predictive text can be as important as the predictions themselves. When predicting medical diagnoses, for example, identifying predictive content in clinical notes not only enhances interpretabi ... Full text Cite

Review of Popularity and Quality Standards of Opioid-Related Smartphone Apps.

Journal Article Curr Addict Rep · December 2020 PURPOSE OF REVIEW: Opioid misuse, addiction, and related harm is a global crisis that affects public health and social and economic welfare. Many of the strategies being used to combat the opioid crisis could benefit from improved access and dissemination, ... Full text Link to item Cite

Health system utilization before age 1 among children later diagnosed with autism or ADHD.

Journal Article Sci Rep · October 19, 2020 Children with autism spectrum disorder (ASD) or attention deficit hyperactivity disorder (ADHD) have 2-3 times increased healthcare utilization and annual costs once diagnosed, but little is known about their utilization patterns early in life. Quantifying ... Full text Link to item Cite

Feasibility and Acceptability of Wearable Sleep Electroencephalogram Device Use in Adolescents: Observational Study.

Journal Article JMIR Mhealth Uhealth · October 1, 2020 BACKGROUND: Adolescence is an important life stage for the development of healthy behaviors, which have a long-lasting impact on health across the lifespan. Sleep undergoes significant changes during adolescence and is linked to physical and psychiatric he ... Full text Link to item Cite

Feasibility and Acceptability of Wearable Sleep Electroencephalogram Device Use in Adolescents: Observational Study (Preprint)

Journal Article · May 25, 2020 BACKGROUNDAdolescence is an important life stage for the development of healthy behaviors, which have a long-lasting impact on health across the lifespan. Sleep undergoes significant chan ... Full text Cite

Neural Conditional Event Time Models

Journal Article · April 3, 2020 Event time models predict occurrence times of an event of interest based on known features. Recent work has demonstrated that neural networks achieve state-of-the-art event time predictions in a variety of settings. However, standard event time models supp ... Link to item Cite

Author Correction: Validation of the Sleep Regularity Index in Older Adults and Associations with Cardiometabolic Risk.

Journal Article Sci Rep · February 14, 2020 An amendment to this paper has been published and can be accessed via a link at the top of the paper. ... Full text Link to item Cite

Sleep/Wake Regularity Associated with Default Mode Network Structure among Healthy Adolescents and Young Adults.

Journal Article Sci Rep · January 16, 2020 Sleep deprivation and disorders are linked to reduced DMN connectivity. Less is known about how naturalistic sleep patterns - specifically sleep irregularity - relate to the DMN, particularly among adolescents and young adults. Additionally, no studies hav ... Full text Link to item Cite

Digital envirotyping: quantifying environmental determinants of health and behavior.

Journal Article NPJ Digit Med · 2020 Digital phenotyping efforts have used wearable devices to connect a rich array of physiologic data to health outcomes or behaviors of interest. The environmental context surrounding these phenomena has received less attention, yet is critically needed to u ... Full text Link to item Cite

Neural Conditional Event Time Models

Conference Proceedings of Machine Learning Research · January 1, 2020 Event time models predict occurrence times of an event of interest based on known features. Recent work has demonstrated that neural networks achieve state-of-the-art event time predictions in biomedical applications, where event time models are frequently ... Cite

The Many Channels of Screen Media Technology in ADHD: a Paradigm for Quantifying Distinct Risks and Potential Benefits.

Journal Article Curr Psychiatry Rep · August 13, 2019 PURPOSE OF REVIEW: Individuals with attention-deficit hyperactivity disorder (ADHD) may be unusually sensitive to screen media technology (SMT), from television to mobile devices. Although an association between ADHD and SMT use has been confirmed, its imp ... Full text Link to item Cite

Identifying Smoking Environments From Images of Daily Life With Deep Learning.

Journal Article JAMA Netw Open · August 2, 2019 IMPORTANCE: Environments associated with smoking increase a smoker's craving to smoke and may provoke lapses during a quit attempt. Identifying smoking risk environments from images of a smoker's daily life provides a basis for environment-based interventi ... Full text Link to item Cite

A generic algorithm for sleep-wake cycle detection using unlabeled actigraphy data

Conference 2019 IEEE EMBS International Conference on Biomedical and Health Informatics Bhi 2019 Proceedings · May 1, 2019 One key component when analyzing actigraphy data for sleep studies is sleep-wake cycle detection. Most detection algorithms rely on accurate sleep diary labels to generate supervised classifiers, with parameters optimized for a particular dataset. However, ... Full text Cite

Structure Sensitivity of Acetylene Semi-Hydrogenation on Pt Single Atoms and Subnanometer Clusters

Journal Article ACS Catalysis · January 1, 2019 Oxide-supported Pt-group single atoms and clusters in the subnanometer size regime maximize the metal utilization and have shown extraordinary catalytic properties for many reactions including selective hydrogenation. Establishing relations between the met ... Full text Cite

Validation of the Sleep Regularity Index in Older Adults and Associations with Cardiometabolic Risk.

Journal Article Sci Rep · September 21, 2018 Sleep disturbances, including insufficient sleep duration and circadian misalignment, confer risk for cardiometabolic disease. Less is known about the association between the regularity of sleep/wake schedules and cardiometabolic risk. This study evaluated ... Full text Open Access Link to item Cite

Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model.

Journal Article Proc Mach Learn Res · August 2018 Featured Publication Health risks from cigarette smoking - the leading cause of preventable death in the United States - can be substantially reduced by quitting. Although most smokers are motivated to quit, the majority of quit attempts fail. A number of studies have explored ... Link to item Cite

Real-world walking in multiple sclerosis: Separating capacity from behavior.

Journal Article Gait Posture · January 2018 Featured Publication BACKGROUND: Habitual physical activity (HPA) measurement addresses the impact of MS on real-world walking, yet its interpretation is confounded by the competing influences of MS-associated walking capacity and physical activity behaviors. OBJECTIVE: To dev ... Full text Link to item Cite

Understanding the Physiological Significance of Four Inertial Gait Features in Multiple Sclerosis.

Journal Article IEEE J Biomed Health Inform · January 2018 Gait impairment in multiple sclerosis (MS) can result from muscle weakness, physical fatigue, lack of coordination, and other symptoms. Walking speed, as measured by a number of clinician-administered walking tests, is the primary measure of gait impairmen ... Full text Link to item Cite

Optimising mHealth helpdesk responsiveness in South Africa: towards automated message triage.

Journal Article BMJ Glob Health · 2018 In South Africa, a national-level helpdesk was established in August 2014 as a social accountability mechanism for improving governance, allowing recipients of public sector services to send complaints, compliments and questions directly to a team of Natio ... Full text Open Access Link to item Cite

Unpacking the performance of a mobile health information messaging program for mothers (MomConnect) in South Africa: evidence on program reach and messaging exposure.

Journal Article BMJ Glob Health · 2018 Despite calls to address broader evidence gaps in linking digital technologies to outcome and impact level health indicators, limited attention has been paid to measuring processes pertaining to the performance of programs. In this paper, we assess the pro ... Full text Link to item Cite

Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model

Conference Proceedings of Machine Learning Research · January 1, 2018 Health risks from cigarette smoking - the leading cause of preventable death in the United States - can be substantially reduced by quitting. Although most smokers are motivated to quit, the majority of quit attempts fail. A number of studies have explored ... Cite

Demonstrating the real-world significance of the mid-swing to heel strike part of the gait cycle using spectral features

Conference 2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks Bsn 2017 · May 30, 2017 Multiple sclerosis (MS) interrupts communication between the brain and other parts of the body causing functional deterioration. Gait impairment is a common finding in MS, one caused by several neurological symptoms. We perform an event-specific analysis t ... Full text Cite

Relationship between kernel density function estimates of gait time series and clinical data

Conference 2017 IEEE EMBS International Conference on Biomedical and Health Informatics Bhi 2017 · April 11, 2017 Multiple sclerosis (MS) is a neurological disorder which interrupts the communication between the brain and other parts of the body resulting in neurologic and physical and functional limitations. Gait deterioration is one of the most common problems and h ... Full text Cite

Remotely engaged: Lessons from remote monitoring in multiple sclerosis.

Journal Article Int J Med Inform · April 2017 Featured Publication OBJECTIVES: Evaluate web-based patient-reported outcome (wbPRO) collection in MS subjects in terms of feasibility, reliability, adherence, and subject-perceived benefits; and quantify the impact of MS-related symptoms on perceived well-being. METHODS: Thir ... Full text Link to item Cite

The e-MSWS-12: improving the multiple sclerosis walking scale using item response theory.

Journal Article Qual Life Res · December 2016 BACKGROUND: The Multiple Sclerosis Walking Scale (MSWS-12) is the predominant patient-reported measure of multiple sclerosis (MS) -elated walking ability, yet it had not been analyzed using item response theory (IRT), the emerging standard for patient-repo ... Full text Link to item Cite

Adaptive symptom reporting for mobile patient-reported disability assessment

Conference 2016 IEEE Wireless Health Wh 2016 · December 1, 2016 Featured Publication Mobile symptom reporting apps can conveniently gather health-related information at low cost from day to day, fundamentally altering the relationship between patients, health data, and care providers. However, current mobile systems face a difficult trade- ... Full text Cite

Fatigue and fluid hydration status in multiple sclerosis: A hypothesis.

Journal Article Mult Scler · October 2016 Featured Publication BACKGROUND: Fatigue is a prevalent and functionally disabling symptom for individuals living with multiple sclerosis (MS) which is poorly understood and multifactorial in etiology. Bladder dysfunction is another common MS symptom which limits social engage ... Full text Link to item Cite

Quantifying six-minute walk induced gait deterioration with inertial sensors in multiple sclerosis subjects.

Journal Article Gait Posture · September 2016 Featured Publication BACKGROUND: The six-minute walk (6MW) is a common walking outcome in multiple sclerosis (MS) thought to measure fatigability in addition to overall walking disability. However, direct evidence of 6MW induced gait deterioration is limited by the difficulty ... Full text Link to item Cite

Determining physiological significance of inertial gait features in multiple sclerosis

Conference Bsn 2016 13th Annual Body Sensor Networks Conference · July 18, 2016 Gait impairment in Multiple Sclerosis (MS) can result from imbalance, physical fatigue, weakness, and other symptoms. Walking speed is the primary measure of gait impairment used by clinical researchers, but inertial gait features from body-worn sensors ha ... Full text Cite

Correlations between inertial body sensor measures and clinical measures in multiple sclerosis

Conference Bodynets International Conference on Body Area Networks · January 1, 2015 Gait assessment using inertial body sensors is becoming popular as an outcome measure in multiple sclerosis (MS) research, supplementing clinical observations and patient-reported outcomes with precise, objective measures. Although numerous research report ... Full text Cite

Toward detection and monitoring of gait pathology using inertial sensors under rotation, scale, and offset invariant dynamic time warping

Conference Bodynets International Conference on Body Area Networks · January 1, 2015 Walking ability can be degraded by a number of pathologies, including movement disorders, stroke, and injury. Personal activity tracking devices gather inertial data needed to measure walking quality, but the required algorithmic methods are an active area ... Full text Cite

Novel experience induces persistent sleep-dependent plasticity in the cortex but not in the hippocampus.

Journal Article Front Neurosci · November 2007 Episodic and spatial memories engage the hippocampus during acquisition but migrate to the cerebral cortex over time. We have recently proposed that the interplay between slow-wave (SWS) and rapid eye movement (REM) sleep propagates recent synaptic changes ... Full text Link to item Cite