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Jessica Dale Tenenbaum
Associate Professor of Biostatistics & Bioinformatics
Journal ArticleJ Public Health Manag Pract · November 2025
CONTEXT: Emergency department (ED) "boarding" for behavioral health occurs when patients remain in emergency rooms overnight due to a lack of available psychiatric beds. However, quantification of the problem and demographic characterization of affected po ...
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Journal ArticleNorth Carolina Medical Journal · January 1, 2025
North Carolina’s Latine and immigrant residents face deepening health coverage gaps amid restrictive federal policy shifts. This commentary proposes Health Data Utility capabilities to integrate health and social data, enhance trust, and enable targeted en ...
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Journal ArticleLearn Health Syst · October 2024
INTRODUCTION: Public health systems worldwide face increasing challenges in addressing complex health issues and improving population health outcomes. This experience report introduces the concept of a Learning Public Health System (LPHS) as a potential so ...
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Journal ArticleNEJM AI · April 2024
BACKGROUND: Machine learning (ML) may cost-effectively direct health care by identifying patients most likely to benefit from preventative interventions to avoid negative and expensive outcomes. System for High-Intensity Evaluation During Radiation Therapy ...
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Journal ArticleBMJ Health Care Inform · February 2023
OBJECTIVES: Clinical artificial intelligence and machine learning (ML) face barriers related to implementation and trust. There have been few prospective opportunities to evaluate these concerns. System for High Intensity EvaLuation During Radiotherapy (NC ...
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Journal ArticleIEEE Trans Technol Soc · March 2022
Applications of biometrics in various societal contexts have been increasing in the United States, and policy debates about potential restrictions and expansions for specific biometrics (such as facial recognition and DNA identification) have been intensif ...
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Journal ArticleCancer · January 15, 2022
BACKGROUND: Disparity in mental health care among cancer patients remains understudied. METHODS: A large, retrospective, single tertiary-care institution cohort study was conducted based on deidentified electronic health record data of 54,852 adult cancer ...
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ConferenceInternational journal of radiation oncology, biology, physics · November 2021
Purpose/objective(s)Mortality prediction is critical to appropriate cancer care planning. This has become a topic of interest, with machine learning (ML) tools demonstrating accurate binary predictions for mortality at specific time points. There ...
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Journal ArticleMMWR Morb Mortal Wkly Rep · July 16, 2021
COVID-19 has disproportionately affected non-Hispanic Black or African American (Black) and Hispanic persons in the United States (1,2). In North Carolina during January-September 2020, deaths from COVID-19 were 1.6 times higher among Black persons than am ...
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Chapter · July 2, 2021
In this chapter, we will focus on the informatics resources for and implications of precision medicine. We will also provide a basic overview of precision medicine. Informatics is needed for the capture of data, transformation of data into information and ...
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Chapter · July 2, 2021
This chapter introduces bioinformatics and the impacts of data generated by advanced biotechnology applications. A brief introduction regarding the underlying biology of these technologies is described. The types of data being generated and how they are im ...
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Chapter · July 2, 2021
Translational bioinformatics refers to the subfield of informatics that extracts new knowledge from voluminous amounts of biological data, particularly molecular data, to enable precision medicine. Though which types of molecular data spans a broad spectru ...
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Journal ArticleJ Am Med Inform Assoc · June 12, 2021
OBJECTIVE: This study sought to describe gender representation in leadership and recognition within the U.S. biomedical informatics community. MATERIALS AND METHODS: Data were collected from public websites or provided by American Medical Informatics Assoc ...
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ConferenceJournal of Clinical Oncology · May 20, 2021
1509 Background: SHIELD-RT was a randomized controlled quality improvement study (NCT03775265) that implemented electronic health record-based machine learning (ML) to direct supplemental visits for high risk (HR) patients underg ...
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Journal ArticleJ Am Med Inform Assoc · February 15, 2021
Our goal is to summarize the collective experience of 15 organizations in dealing with uncoordinated efforts that result in unnecessary delays in understanding, predicting, preparing for, containing, and mitigating the COVID-19 pandemic in the US. Response ...
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Journal ArticlePLoS One · 2021
Facial imaging and facial recognition technologies, now common in our daily lives, also are increasingly incorporated into health care processes, enabling touch-free appointment check-in, matching patients accurately, and assisting with the diagnosis of ce ...
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Journal ArticleJAMIA Open · December 2020
OBJECTIVES: Expert abstraction of acute toxicities is critical in oncology research but is labor-intensive and variable. We assessed the accuracy of a natural language processing (NLP) pipeline to extract symptoms from clinical notes compared to physicians ...
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Journal ArticleAlzheimers Dement · September 2020
INTRODUCTION: Altered lipid metabolism is implicated in Alzheimer's disease (AD), but the mechanisms remain obscure. Aging-related declines in circulating plasmalogens containing omega-3 fatty acids may increase AD risk by reducing plasmalogen availability ...
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Journal ArticleInt J Radiat Oncol Biol Phys · August 1, 2020
PURPOSE: The National Cancer Institute Common Terminology Criteria for Adverse Events (CTCAE) v5.0 is the standard for oncology toxicity encoding and grading, despite limited validation. We assessed interrater reliability (IRR) in multireviewer toxicity id ...
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Journal ArticleJ Am Med Inform Assoc · April 1, 2020
Pragmatic clinical trials often entail the use of electronic health record (EHR) and claims data, but bias and quality issues associated with these data can limit their fitness for research purposes particularly for study end points. Patient-reported healt ...
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Journal ArticleNat Commun · March 2, 2020
Late-onset Alzheimer's disease (AD) can, in part, be considered a metabolic disease. Besides age, female sex and APOE ε4 genotype represent strong risk factors for AD that also give rise to large metabolic differences. We systematically investigated group- ...
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Journal ArticleSci Data · October 17, 2019
Alzheimer's disease (AD) is the most common cause of dementia. The mechanism of disease development and progression is not well understood, but increasing evidence suggests multifactorial etiology, with a number of genetic, environmental, and aging-related ...
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Journal ArticleJ Biomed Inform · October 2019
Mental illnesses are highly heterogeneous with diagnoses based on symptoms that are generally qualitative, subjective, and documented in free text clinical notes rather than as structured data. Moreover, there exists significant variation in symptoms withi ...
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Journal ArticleBrief Bioinform · May 21, 2019
Mental illness is increasingly recognized as both a significant cost to society and a significant area of opportunity for biological breakthrough. As -omics and imaging technologies enable researchers to probe molecular and physiological underpinnings of m ...
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Journal ArticleJAMIA Open · April 2019
The widespread adoption and use of electronic health records and their use to enable learning health systems (LHS) holds great promise to accelerate both evidence-generating medicine (EGM) and evidence-based medicine (EBM), thereby enabling a LHS. In 2016, ...
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Journal ArticleAlzheimers Dement · January 2019
INTRODUCTION: Increasing evidence suggests a role for the gut microbiome in central nervous system disorders and a specific role for the gut-brain axis in neurodegeneration. Bile acids (BAs), products of cholesterol metabolism and clearance, are produced i ...
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Journal ArticleJCO Clin Cancer Inform · December 2018
PURPOSE: Patients undergoing radiotherapy (RT) or chemoradiotherapy (CRT) may require emergency department evaluation or hospitalization. Early identification may direct preventative supportive care, improving outcomes and reducing health care costs. We de ...
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Journal ArticleSci Data · November 20, 2018
Alzheimer's disease (AD) is a major public health priority with a large socioeconomic burden and complex etiology. The Alzheimer Disease Metabolomics Consortium (ADMC) and the Alzheimer Disease Neuroimaging Initiative (ADNI) aim to gain new biological insi ...
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ConferencePac Symp Biocomput · 2018
There is an expanding and intensive focus on the accessibility, reproducibility, and rigor of basic, clinical, and translational research. This focus complements the need to identify sustainable ways to generate actionable research results that improve hum ...
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ConferencePac Symp Biocomput · 2018
The importance of open data has been increasingly recognized in recent years. Although the sharing and reuse of clinical data for translational research lags behind best practices in biological science, a number of patient-derived datasets exist and have b ...
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Journal ArticleSci Data · October 17, 2017
Alzheimer's disease (AD) is the most common neurodegenerative disease presenting major health and economic challenges that continue to grow. Mechanisms of disease are poorly understood but significant data point to metabolic defects that might contribute t ...
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Journal ArticleAlzheimers Dement · September 2017
INTRODUCTION: The Alzheimer's Disease Research Summits of 2012 and 2015 incorporated experts from academia, industry, and nonprofit organizations to develop new research directions to transform our understanding of Alzheimer's disease (AD) and propel the d ...
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Journal ArticlePer Med · March 2017
The Genetic Information Nondiscrimination Act (GINA) was intended to protect individuals in the USA from discrimination based on their genetic data, but does not apply to life, long-term care or disability insurance. Patient advocates and ethicists have ar ...
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ConferencePac Symp Biocomput · 2017
The modern healthcare and life sciences ecosystem is moving towards an increasingly open and data-centric approach to discovery science. This evolving paradigm is predicated on a complex set of information needs related to our collective ability to share, ...
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ConferenceProceedings of the 22nd MIT International Conference on Information Quality Iciq 2017 · January 1, 2017
Knowing the accuracy of self-reported medical data is critical to using the data in clinical decision-making and research. The same is true for data in Electronic Health Records (EHRs). For these data, accuracy reported in the literature varies widely leav ...
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Journal ArticleJ Biomed Inform · December 2016
OBJECTIVE: To evaluate common data models (CDMs) to determine which is best suited for sharing data from a large, longitudinal, electronic health record (EHR)-based community registry. MATERIALS AND METHODS: Four CDMs were chosen from models in use for cli ...
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Journal ArticleJ Am Med Inform Assoc · July 2016
The recent announcement of the Precision Medicine Initiative by President Obama has brought precision medicine (PM) to the forefront for healthcare providers, researchers, regulators, innovators, and funders alike. As technologies continue to evolve and da ...
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Journal ArticleCirc Cardiovasc Genet · April 2016
The process of scientific discovery is rapidly evolving. The funding climate has influenced a favorable shift in scientific discovery toward the use of existing resources such as the electronic health record. The electronic health record enables long-term ...
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Journal ArticleGenomics Proteomics Bioinformatics · February 2016
Though a relatively young discipline, translational bioinformatics (TBI) has become a key component of biomedical research in the era of precision medicine. Development of high-throughput technologies and electronic health records has caused a paradigm shi ...
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Journal ArticleAMIA Jt Summits Transl Sci Proc · 2016
A fundamental premise of scientific research is that it should be reproducible. However, the specific requirements for reproducibility of research using electronic health record (EHR) data have not been sufficiently articulated. There is no guidance for re ...
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Chapter · January 1, 2015
Personalized medicine is fundamentally about targeting the right treatment for the right patient at the right time. As increasing amounts of information about a patient may be efficiently collected, analyzed, and retrieved, it is increasingly possible to t ...
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Journal ArticleAMIA Jt Summits Transl Sci Proc · 2014
The MURDOCK Study is longitudinal, large-scale epidemiological study for which participants' medication use is collected as free text. In order to maximize utility of drug data, while minimizing cost due to manual expert intervention, we have developed a g ...
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Journal ArticleJ Am Med Inform Assoc · 2014
In the era of Big Data, omic-scale technologies, and increasing calls for data sharing, it is generally agreed that the use of community-developed, open data standards is critical. Far less agreed upon is exactly which data standards should be used, the cr ...
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Journal ArticleJ Pers Med · October 30, 2012
Direct to consumer (DTC) genomic services facilitate the personalized and participatory aspects of "P4" medicine, but raise questions regarding use of genomic data in providing predictive and preventive healthcare. We illustrate the issues involved by desc ...
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Journal ArticleJ Am Med Inform Assoc · June 2012
Clinical integrated data repositories (IDRs) are poised to become a foundational element of biomedical and translational research by providing the coordinated data sources necessary to conduct retrospective analytic research and to identify and recruit pro ...
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Journal ArticleAm J Transl Res · 2012
BACKGROUND: Facing critically low return per dollar invested on clinical research and clinical care, the American biomedical enterprise is in need of a significant transformation. A confluence of high-throughput "omic" technologies and increasing adoption ...
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Journal ArticleAm J Transl Res · 2012
Current understanding of chronic diseases is based on crude clinical characterization, imaging studies, and laboratory testing that has evolved over decades. The Measurement to Understand Reclassification of Disease of Cabarrus/Kannapolis (MURDOCK) Study i ...
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Journal ArticleJ Biomed Inform · February 2011
The biomedical research community relies on a diverse set of resources, both within their own institutions and at other research centers. In addition, an increasing number of shared electronic resources have been developed. Without effective means to locat ...
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Journal ArticleBMC Med Genomics · October 20, 2008
BACKGROUND: Publicly available data repositories facilitate the sharing of an ever-increasing amount of microarray data. However, these datasets remain highly underutilized. Reutilizing the data could offer insights into questions and diseases entirely dis ...
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Journal ArticleProteomics · September 2008
Autoantigen microarrays are being used increasingly to study autoimmunity. Significant variation has been observed when comparing microarray surfaces, printing methods, and probing conditions. In the present study, 24 surfaces and several arraying paramete ...
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Journal ArticleBMC Bioinformatics · March 23, 2006
BACKGROUND: This article addresses the problem of interoperation of heterogeneous bioinformatics databases. RESULTS: We introduce BioWarehouse, an open source toolkit for constructing bioinformatics database warehouses using the MySQL and Oracle relational ...
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Journal ArticleAnnu Rev Immunol · 2006
Several proteomics platforms have emerged in the past decade that show great promise for filling in the many gaps that remain from earlier studies of the genome and from the sequencing of the human genome itself. This review describes applications of prote ...
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