Scholars@Duke
Rishi Kamaleswaran

Scholarly Works - Conferences

Optimized cellular perfusate increases lung viability ex vivo and extends the duration of ex vivo lung perfusion.

Conference J Heart Lung Transplant · May 14, 2026 BACKGROUND: Ex vivo lung perfusion (EVLP) has emerged as a strategy to assess and extend preservation of donor lungs prior to transplantation. However, due to progressive deterioration of the graft, current protocols limit EVLP duration to 10-12 h. We deve ... Full text Link to item Cite

CXR-TFT: Multi-modal Temporal Fusion Transformer for Predicting Chest X-Ray Trajectories

Conference Lecture Notes in Computer Science · January 1, 2026 In intensive care units (ICUs), patients with complex clinical conditions require vigilant monitoring and prompt interventions. Chest X-rays (CXRs) are a vital diagnostic tool, providing insights into clinical trajectories, but their irregular acquisition ... Full text Cite

Multiscale Complexity Analysis for Vasopressor Treatment Effect Among Sepsis Patients

Conference American Journal of Respiratory and Critical Care Medicine · May 1, 2025 AbstractRationale In complex biological systems, fluctuations occur over a wide range of time scales, from milliseconds to hours. Multiscale Entropy (MSE) quantifies the complexity of these signals across ... Full text Cite

An Interactive Framework for Generating Clinical Data with Human Feedback

Conference Bhi 2025 IEEE EMBS International Conference on Biomedical and Health Informatics Conference Proceedings · January 1, 2025 Evaluating machine-learning models in critical-care settings is particularly challenging. The lack of sufficient data for rare but clinically important cases can lead to unreliable model performance. Clinicians often require specific patient scenarios to a ... Full text Cite

Energy Demand and Cholesterol Catabolism Intensify Prior to the Onset of ARDS in Surgical ICU Patients

Conference AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE · May 1, 2024 Link to item Cite

An Evaluation of the Adult Sepsis Event (ASE) Definition on Emory Healthcare Data

Conference AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE · May 1, 2024 Link to item Cite

Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes

Conference Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining · August 4, 2023 Modern health care systems are conducting continuous, automated surveillance of the electronic medical record (EMR) to identify adverse events with increasing frequency; however, many events such as sepsis do not have elucidated prodromes (i.e., event chai ... Full text Cite

Systemic TGF-Beta and Lower IFN-Gamma Drive Kidney, Lung, and Brain Damage in Sepsis

Conference AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE · May 1, 2023 Link to item Cite

Investigating the Impact of Temporal Labeling of Emergency Department Visits for COVID-19: Comparing Healthcare Disparities Analyses Using Comprehensive, Single-Site Data with National COVID Cohort Collaborative (N3C) Data

Conference 2023 Systems and Information Engineering Design Symposium Sieds 2023 · January 1, 2023 National COVID Cohort Collaborative (N3C) enclave provides health researchers with a rich dataset from 76 contributing clinical sites. However, the harmonized data lacks certain details available in sites' local electronic health records (EHRs), such as th ... Full text Cite

Improving sepsis prediction model generalization with optimal transport

Conference Proceedings of Machine Learning Research · January 1, 2022 Sepsis is a deadly condition affecting many patients in the hospital. There have been many efforts to build models that predict the onset of sepsis, but these models tend to perform terribly when validated on external data from different hospitals due to d ... Cite

UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification

Conference Advances in Neural Information Processing Systems · January 1, 2022 Machine Learning (ML) research has focused on maximizing the accuracy of predictive tasks. ML models, however, are increasingly more complex, resource intensive, and costlier to deploy in resource-constrained environments. These issues are exacerbated for ... Cite

Initial Validation of Multi-Frequency Patch-Based Impedance Pneumography in Hospital Settings

Conference Proceedings of IEEE Sensors · January 1, 2022 Heart Failure (HF) is a progressive condition that accounts for nearly one million hospitalizations per year in the United States. HF is typified by respiratory distress symptoms that are associated with increased hospitalizations and mortality. Respirator ... Full text Cite

Body Temperature Trajectory Associated with Venous Thromboembolism in COVID-19 Patients

Conference AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE · May 1, 2021 Link to item Cite

Detectroops - A Street Mascarar

Conference Proceedings of the 2021 4th International Conference on Computing and Communications Technologies Iccct 2021 · January 1, 2021 The proposed Detectroops system would promote public safety by measuring a person's temperature and assessing whether or not they are wearing a mask in public settings. The person will be able to enter public space after sterilising himself and meeting the ... Full text Cite

Predicting Same Hospital Readmission following Fontan Cavopulmonary Anastomosis using Machine Learning

Conference Proceedings 2021 IEEE International Conference on Bioinformatics and Biomedicine Bibm 2021 · January 1, 2021 Hospital readmission after third-stage palliation for single ventricle physiology (Fontan cavopulmonary anastomosis) approaches 25%. The cause for readmissions is varied, and there is no clear way to predict those at risk for readmission. If an effective p ... Full text Cite

A hybrid feature extraction method to detect Atrial Fibrillation from single lead ECG recording

Conference 2018 IEEE EMBS International Conference on Biomedical and Health Informatics Bhi 2018 · April 6, 2018 Identifying patients with Atrial Fibrillation (AFib) is one of the most challenging and prevailing problems in cardiology. In this study, we propose a novel feature extraction method hybridizing probabilistic symbolic pattern recognition (PSPR) and Sample ... Full text Cite

How much data should we collect? A case study in sepsis detection using deep learning

Conference 2017 IEEE Healthcare Innovations and Point of Care Technologies Hi Poct 2017 · December 19, 2017 Sepsis is an acute, life-threatening condition that results from bacterial infections, often acquired in the hospital. Undetected, sepsis can progress to severe sepsis and septic shock, with a risk of death as high as 30% to 80%. Early detection of sepsis ... Full text Cite

Cardiac rhythm classification from a short single lead ECG recording via random forest

Conference Computing in Cardiology · January 1, 2017 Detection of atrial fibrillation (AF) from electrocardiogram (ECG) recordings is one of the prevailing challenges in the field of cardiac computing. The task of the PhysioNet/Computing in Cardiology 2017 challenge is to distinguish the AF rhythms from non- ... Full text Cite

Effects of varying sampling frequency on the analysis of continuous ECG data streams

Conference Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · January 1, 2017 A myriad of data is produced in intensive care units (ICU) even for short periods of time. This data is frequently used for monitoring patient’s immediate health status, not for real-time analysis because of technical challenges in real-time processing of ... Full text Cite

CoRAD: Visual Analytics for Cohort Analysis

Conference Proceedings 2016 IEEE International Conference on Healthcare Informatics Ichi 2016 · December 6, 2016 In this paper, we introduce a novel dynamic visual analytic tool called the Cohort Relative Aligned Dashboard (CoRAD). We present the design components of CoRAD, along with alternatives that lead to the final instantiation. We also present an evaluation in ... Full text Cite

A real-time multi-dimensional visualization framework for critical and complex environments

Conference Proceedings IEEE Symposium on Computer Based Medical Systems · January 1, 2014 The critical care environment is a complex and critical environment, containing numerous body sensors attached to critically ill patients and producing continuous streams of physiological data. In conjunction, human-generated clinical data are produced by ... Full text Cite

Cloud framework for real-time synchronous physiological streams to support rural and remote critical care

Conference Proceedings of CBMS 2013 26th IEEE International Symposium on Computer Based Medical Systems · December 9, 2013 We present a method for transmission and processing of real-time trans-continental medical data streams. We apply fundamentals of existing network technologies to create a secure tunnel from a remote hospital through an open-network to the Artemis Cloud. W ... Full text Cite

Abstract 4819: Assessing the environmental factors in two Ontario communities with diverging colorectal cancer incidence rates .

Conference Cancer Research · April 15, 2013 AbstractColorectal cancer is the third most diagnosed cancer and second leading cause of cancer related deaths in Canada. As Ontario has the largest population in Canada, it also has great disparities in col ... Full text Cite

Cloud framework for real-time synchronous physiological streams to support rural and remote Critical Care

Conference Proceedings IEEE Symposium on Computer Based Medical Systems · January 1, 2013 We present a method for transmission and processing of real-time trans-continental medical data streams. We apply fundamentals of existing network technologies to create a secure tunnel from a remote hospital through an open-network to the Artemis Cloud. W ... Cite

CBPSP: Complex business processes for stream processing

Conference 2012 25th IEEE Canadian Conference on Electrical and Computer Engineering Vision for A Greener Future Ccece 2012 · December 7, 2012 This paper presents an extension called the Complex Business Processes for Stream Processing (CBPsp) to the Solution Manager Service (SMS) framework to support the definition and enactment of complex business processes for event stream processing. The crit ... Full text Cite

A novel framework for event stream processing of clinical practice guidelines

Conference Proceedings IEEE EMBS International Conference on Biomedical and Health Informatics Global Grand Challenge of Health Informatics Bhi 2012 · July 30, 2012 Clinical Decision Support Systems (CDSSs) play important roles aiding in patient care; they provide accurate data analysis and timely evidence-informed recommendations. Although the availability of biomedical data continues to flourish, there have been lim ... Full text Cite

Integrating complex business processes for knowledge-driven clinical decision support systems.

Conference Annu Int Conf IEEE Eng Med Biol Soc · 2012 This paper presents in detail the component of the Complex Business Process for Stream Processing framework that is responsible for integrating complex business processes to enable knowledge-driven Clinical Decision Support System (CDSS) recommendations. C ... Full text Link to item Cite

CBPSP: COMPLEX BUSINESS PROCESSES FOR STREAM PROCESSING

Conference 2012 25TH IEEE CANADIAN CONFERENCE ON ELECTRICAL & COMPUTER ENGINEERING (CCECE) · 2012 Link to item Cite

A method for interactive hypothesis testing for clinical decision support systems using Ptolemy II

Conference Canadian Conference on Electrical and Computer Engineering · October 17, 2011 This paper introduces a method for interactive knowledge testing for a clinical decision support system developed as a part of the Artemis Project. Knowledge within the medical domain is vast and continuously being defined and re-defined. The volume of mod ... Full text Cite

A method for interactive hypothesis testing for Clinical Decision Support Systems using Ptolemy II

Conference 2011 24TH CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE) · 2011 Link to item Cite

A framework for nursing documentation enabling integration with HER and real-time patient monitoring

Conference Proceedings IEEE Symposium on Computer Based Medical Systems · December 1, 2010 This paper proposes a framework for mobile nursing documentation enabling the integration of clinical intervention data with both electronic health record systems and real-time intelligent decision support systems for patient monitoring. A brief discussion ... Full text Cite

On the integration of an artifact system and a real-time healthcare analytics system

Conference Ihi 10 Proceedings of the 1st ACM International Health Informatics Symposium · December 1, 2010 As a result of advances in software technology, particularly stream computing, it is now possible to implement scalable systems capable of real-time analysis of multiple physiological data streams of multiple patients. There is a growing body of evidence s ... Full text Cite

A method for clinical and physiological event stream processing.

Conference Annu Int Conf IEEE Eng Med Biol Soc · 2010 This paper proposes a methodology for the event stream processing of synchronous (physiological) and asynchronous (clinical) health data streams. The purpose is to illustrate the feasibility of Artemis, our extension of IBM's InfoSphere Streams, to appropr ... Full text Link to item Cite

Service oriented architecture for the integration of clinical and physiological data for real-time event stream processing.

Conference Annu Int Conf IEEE Eng Med Biol Soc · 2009 This paper proposes a framework for the integration of physiological and clinical health data within a Service-Oriented architecture framework. This integration will subsequently be used in real-time event stream processing in intelligent patient monitorin ... Full text Link to item Cite