Rishikesan Kamaleswaran

67 papers A* 2B 3Misc 3Journal 45Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improving clinical decision support through interpretable machine learning and error handling in electronic health records. J. Am. Medical Informatics Assoc. Mehak Arora, Hassan Mortagy, Nathan Dwarshuis, Jeffrey Wang, Philip Yang, Andre L. Holder, Swati Gupta, Rishikesan Kamaleswaran
2026	J	`jnl`	Planner-Auditor Twin: Agentic Discharge Planning with FHIR-Based LLM Planning, Guideline Recall, Optional Caching and Self-Improvement. CoRR Kaiyuan Wu, Aditya Nagori, Rishikesan Kamaleswaran
2025	J	`jnl`	Benchmarking Foundation Models with Multimodal Public Electronic Health Records. CoRR Kunyu Yu, Rui Yang, Jingchi Liao, Siqi Li, Huitao Li, Irene Li, Yifan Peng, Rishikesan Kamaleswaran, Nan Liu
2025	J	`jnl`	CXR-TFT: Multi-Modal Temporal Fusion Transformer for Predicting Chest X-ray Trajectories. CoRR Mehak Arora, Ayman Ali, Kaiyuan Wu, Carolyn Davis, Takashi Shimazui, Mahmoud Alwakeel, Victor Moas, Philip Yang, Annette Esper, Rishikesan Kamaleswaran
2025	—	`conf`	CXR-TFT: Multi-modal Temporal Fusion Transformer for Predicting Chest X-Ray Trajectories. MICCAI (15) Mehak Arora, Ayman Ali, Kaiyuan Wu, Carolyn Davis, Takashi Shimazui, Mahmoud Alwakeel, Victor Moas, Philip Yang, Annette Esper, Rishikesan Kamaleswaran
2025	J	`jnl`	Contextual Phenotyping of Pediatric Sepsis Cohort Using Large Language Models. CoRR Aditya Nagori, Ayush Gautam, Matthew O. Wiens, Vuong Nguyen, Nathan Kenya Mugisha, Jerome Kabakyenga, Niranjan Kissoon, John Mark Ansermino, Rishikesan Kamaleswaran
2025	J	`jnl`	Evaluating LLMs in Medicine: A Call for Rigor, Transparency. CoRR Mahmoud Alwakeel, Aditya Nagori, Vijay Krishnamoorthy, Rishikesan Kamaleswaran
2025	J	`jnl`	Evaluating the impact of common clinical confounders on performance of deep-learning-based sepsis risk assessment. Frontiers Artif. Intell. Shikha Chaganti, Vivek Singh, Alasdair Edward Gent, Rishikesan Kamaleswaran, Ali Kamen
2025	J	`jnl`	LuGSAM: a novel framework for integrating text prompts to Segment Anything Model (SAM) for segmentation tasks of ICU chest x-rays. Multim. Tools Appl. Dhanush Babu Ramesh, Rishika Iytha Sridhar, Pulakesh Upadhyaya, Rishikesan Kamaleswaran
2025	J	`jnl`	NeuroSep-CP-LCB: A Deep Learning-based Contextual Multi-armed Bandit Algorithm with Uncertainty Quantification for Early Sepsis Prediction. CoRR Anni Zhou, Raheem Beyah, Rishikesan Kamaleswaran
2025	J	`jnl`	Open-Source Agentic Hybrid RAG Framework for Scientific Literature Review. CoRR Aditya Nagori, Ricardo Accorsi Casonatto, Ayush Gautam, Abhinav Manikantha Sai Cheruvu, Rishikesan Kamaleswaran
2025	J	`jnl`	Performance of Large Language Models in Answering Critical Care Medicine Questions. CoRR Mahmoud Alwakeel, Aditya Nagori, An-Kwok Ian Wong, Neal Chaisson, Vijay Krishnamoorthy, Rishikesan Kamaleswaran
2025	J	`jnl`	RespBERT: A Multi-Site Validation of a Natural Language Processing Algorithm, of Radiology Notes to Identify Acute Respiratory Distress Syndrome (ARDS). IEEE J. Biomed. Health Informatics Ashwin Pathak, Curtis Marshall, Carolyn Davis, Philip Yang, Rishikesan Kamaleswaran
2025	J	`jnl`	Sepsyn-OLCP: An Online Learning-based Framework for Early Sepsis Prediction with Uncertainty Quantification using Conformal Prediction. CoRR Anni Zhou, Beyah Raheem, Rishikesan Kamaleswaran, Yao Xie
2025	J	`jnl`	Tackling the small imbalanced horizontal dataset regressions by Stability Selection and SMOGN: a case study of ventilation-free days prediction in the pediatric intensive care unit and the importance of PRISM. Int. J. Medical Informatics Milad Ghiasi Rad, Alireza Rafiei, Jocelyn Grunwell, Rishikesan Kamaleswaran
2024	J	`jnl`	Deep Representation Learning-Based Dynamic Trajectory Phenotyping for Acute Respiratory Failure in Medical Intensive Care Units. CoRR Alan Wu, Tilendra Choudhary, Pulakesh Upadhyaya, Ayman Ali, Philip Yang, Rishikesan Kamaleswaran
2024	J	`jnl`	Improving mixed-integer temporal modeling by generating synthetic data using conditional generative adversarial networks: A case study of fluid overload prediction in the intensive care unit. Comput. Biol. Medicine Alireza Rafiei, Milad Ghiasi Rad, Andrea Sikora, Rishikesan Kamaleswaran
2024	J	`jnl`	Meta-learning in Healthcare: A Survey. SN Comput. Sci. Alireza Rafiei, Ronald Moore, Sina Jahromi, Farshid Hajati, Rishikesan Kamaleswaran
2024	J	`jnl`	Parsimonious waveform-derived features consisting of pulse arrival time and heart rate variability predicts the onset of septic shock. Biomed. Signal Process. Control. Moamen Soliman, Curtis Marshall, Jacob P. Kimball, Tilendra Choudhary, Gilles Clermont, Michael R. Pinsky, Timothy G. Buchman, Craig M. Coopersmith, Omer T. Inan, Rishikesan Kamaleswaran
2024	J	`jnl`	Riemannian manifold-based geometric clustering of continuous glucose monitoring to improve personalized diabetes management. Comput. Biol. Medicine Jiafeng Song, Jocelyn McNeany, Yifei Wang, Tanicia Daley, Arlene Stecenko, Rishikesan Kamaleswaran
2024	J	`jnl`	Robust Meta-Model for Predicting the Need for Blood Transfusion in Non-traumatic ICU Patients. CoRR Alireza Rafiei, Ronald Moore, Tilendra Choudhary, Curtis Marshall, Geoffrey Smith, John D. Roback, Ravi M. Patel, Cassandra D. Josephson, Rishikesan Kamaleswaran
2024	—	`conf`	Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing. AIME (1) Seibi Kobara, Alireza Rafiei, Masoud Nateghi, Selen Bozkurt, Rishikesan Kamaleswaran, Abeed Sarker
2024	J	`jnl`	Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing. CoRR Seibi Kobara, Alireza Rafiei, Masoud Nateghi, Selen Bozkurt, Rishikesan Kamaleswaran, Abeed Sarker
2023	J	`jnl`	Causal Graph Discovery From Self and Mutually Exciting Time Series. IEEE J. Sel. Areas Inf. Theory Song Wei, Yao Xie, Christopher S. Josef, Rishikesan Kamaleswaran
2023	J	`jnl`	ClotCatcher: a novel natural language model to accurately adjudicate venous thromboembolism from radiology reports. BMC Medical Informatics Decis. Mak. Jeffrey Wang, Joao Souza de Vale, Saransh Gupta, Pulakesh Upadhyaya, Felipe A. Lisboa, Seth A. Schobel, Eric A. Elster, Christopher J. Dente, Timothy G. Buchman, Rishikesan Kamaleswaran
2023	J	`jnl`	Detecting algorithmic bias in medical AI-models. CoRR Jeffrey Smith, Andre L. Holder, Rishikesan Kamaleswaran, Yao Xie
2023	J	`jnl`	Enabling Continuous Breathing-Phase Contextualization via Wearable-Based Impedance Pneumography and Lung Sounds: A Feasibility Study. IEEE J. Biomed. Health Informatics Jesus Antonio Sanchez-Perez, Asim Hossain Gazi, Samer A. Mabrouk, John A. Berkebile, Goktug C. Ozmen, Rishikesan Kamaleswaran, Omer T. Inan
2023	A*	`conf`	Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes. KDD Song Wei, Yao Xie, Christopher S. Josef, Rishikesan Kamaleswaran
2023	J	`jnl`	Meta-learning in healthcare: A survey. CoRR Alireza Rafiei, Ronald Moore, Sina Jahromi, Farshid Hajati, Rishikesan Kamaleswaran
2023	J	`jnl`	Mixed-Integer Projections for Automated Data Correction of EMRs Improve Predictions of Sepsis among Hospitalized Patients. CoRR Mehak Arora, Hassan Mortagy, Nathan Dwarshius, Swati Gupta, Andre L. Holder, Rishikesan Kamaleswaran
2023	J	`jnl`	Synthetic seismocardiogram generation using a transformer-based neural network. J. Am. Medical Informatics Assoc. Mohammad Nikbakht, Asim Hossain Gazi, Jonathan Zia, Sungtae An, David Jimmy Lin, Omer T. Inan, Rishikesan Kamaleswaran
2023	J	`jnl`	Transfer Causal Learning: Causal Effect Estimation with Knowledge Transfer. CoRR Song Wei, Ronald Moore, Hanyu Zhang, Yao Xie, Rishikesan Kamaleswaran
2022	J	`jnl`	A Machine Learning-Enabled Partially Observable Markov Decision Process Framework for Early Sepsis Prediction. INFORMS J. Comput. Zeyu Liu, Anahita Khojandi, Xueping Li, Akram Mohammed, Robert L. Davis, Rishikesan Kamaleswaran
2022	J	`jnl`	A Wearable Multimodal Sensing System for Tracking Changes in Pulmonary Fluid Status, Lung Sounds, and Respiratory Markers. Sensors Jesus Antonio Sanchez-Perez, John A. Berkebile, Brandi N. Nevius, Goktug C. Ozmen, Christopher J. Nichols, Venu G. Ganti, Samer Mabrouk, Gari D. Clifford, Rishikesan Kamaleswaran, David W. Wright, Omer T. Inan
2022	J	`jnl`	ALRt: An Active Learning Framework for Irregularly Sampled Temporal Data. CoRR Ronald Moore, Rishikesan Kamaleswaran
2022	Misc	`conf`	Challenges in Custom Machine Learning Model Implementation in a Vendor System: Use of a Deep Learning Model for Pediatric CLABSI Prediction. AMIA Jonathan M. Beus, Edwin Ray, Sarah A. Thompson, Ryan Birmingham, Brad Cundiff, Mike Malto, Kevin Duncan, Dileep Gunda, Rishikesan Kamaleswaran, Evan Orenstein
2022	—	`conf`	Improving Sepsis Prediction Model Generalization With Optimal Transport. ML4H@NeurIPS Jie Wang, Ronald Moore, Yao Xie, Rishikesan Kamaleswaran
2022	—	`conf`	Initial Validation of Multi-Frequency Patch-Based Impedance Pneumography in Hospital Settings. IEEE SENSORS Jesus Antonio Sanchez-Perez, Samer Mabrouk, John A. Berkebile, Annette Esper, Philip Yang, Rishikesan Kamaleswaran, Omer T. Inan
2022	J	`jnl`	OnAI-Comp: An Online AI Experts Competing Framework for Early Sepsis Detection. IEEE ACM Trans. Comput. Biol. Bioinform. Anni Zhou, Raheem Beyah, Rishikesan Kamaleswaran
2022	Misc	`conf`	Online Critical-State Detection of Sepsis Among ICU Patients using Jensen-Shannon Divergence. AMIA Jeffrey Smith, Christopher S. Josef, Yao Xie, Rishikesan Kamaleswaran
2022	A*	`conf`	UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification. NeurIPS Yanbo Xu, Alind Khare, Glenn Matlin, Monish Ramadoss, Rishikesan Kamaleswaran, Chao Zhang, Alexey Tumanov
2022	J	`jnl`	UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification. CoRR Yanbo Xu, Alind Khare, Glenn Matlin, Monish Ramadoss, Rishikesan Kamaleswaran, Chao Zhang, Alexey Tumanov
2021	J	`jnl`	HeMA: A hierarchically enriched machine learning approach for managing false alarms in real time: A sepsis prediction case study. Comput. Biol. Medicine Zeyu Liu, Anahita Khojandi, Akram Mohammed, Xueping Li, Lokesh K. Chinthala, Robert L. Davis, Rishikesan Kamaleswaran
2021	J	`jnl`	Inferring Granger Causality from Irregularly Sampled Time Series. CoRR Song Wei, Yao Xie, Christopher S. Josef, Rishikesan Kamaleswaran
2021	—	`conf`	Predicting Same Hospital Readmission following Fontan Cavopulmonary Anastomosis using Machine Learning. BIBM Kushal Kodnad, Azade Tabaie, Joshua M. Rosenblum, Rishikesan Kamaleswaran
2021	J	`jnl`	Predicting presumed serious infection among hospitalized children on central venous lines with machine learning. Comput. Biol. Medicine Azade Tabaie, Evan W. Orenstein, Shamim Nemati, Rajit K. Basu, Swaminathan Kandaswamy, Gari D. Clifford, Rishikesan Kamaleswaran
2020	J	`jnl`	Machine Learning Methods to Predict Acute Respiratory Failure and Acute Respiratory Distress Syndrome. Frontiers Big Data An-Kwok Ian Wong, Patricia C. Cheung, Rishikesan Kamaleswaran, Greg S. Martin, Andre L. Holder
2020	J	`jnl`	Machine learning predicts early onset of fever from continuous physiological data of critically ill patients. CoRR Aditya Singh, Akram Mohammed, Lokesh K. Chinthala, Rishikesan Kamaleswaran
2020	Misc	`conf`	Predicting Volume Responsiveness Among Sepsis Patients Using Clinical Data and Continuous Physiological Waveforms. AMIA Rishikesan Kamaleswaran, Jiaoying Lian, Dong-Lien Lin, Himasagar Molakapuri, Sri Manikanth Nunna, Parth Shah, Shiv Dua, Rema Padman
2019	J	`jnl`	A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling. J. Heal. Informatics Res. Franco van Wyk, Anahita Khojandi, Brian Williams, Don Macmillan, Robert L. Davis, Daniel A. Jacobson, Rishikesan Kamaleswaran
2019	J	`jnl`	A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier. Int. J. Medical Informatics Franco van Wyk, Anahita Khojandi, Akram Mohammed, Edmon Begoli, Robert L. Davis, Rishikesan Kamaleswaran
2019	J	`jnl`	Correction to: A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling. J. Heal. Informatics Res. Franco van Wyk, Anahita Khojandi, Brian Williams, Don Macmillan, Robert L. Davis, Daniel A. Jacobson, Rishikesan Kamaleswaran
2019	J	`jnl`	Improving Prediction Performance Using Hierarchical Analysis of Real-Time Data: A Sepsis Case Study. IEEE J. Biomed. Health Informatics Franco van Wyk, Anahita Khojandi, Rishikesan Kamaleswaran
2019	J	`jnl`	PhysOnline: An Open Source Machine Learning Pipeline for Real-Time Analysis of Streaming Physiological Waveform. IEEE J. Biomed. Health Informatics Jacob R. Sutton, Ruhi Mahajan, Oguz Akbilgic, Rishikesan Kamaleswaran
2018	—	`conf`	A hybrid feature extraction method to detect Atrial Fibrillation from single lead ECG recording. BHI Ruhi Mahajan, Rishikesan Kamaleswaran, Oguz Akbilgic
2017	—	`conf`	Cardiac Rhythm Classification from a Short Single Lead ECG Recording via Random Forest. CinC Ruhi Mahajan, Rishikesan Kamaleswaran, John Andrew Howe, Oguz Akbilgic
2017	—	`conf`	Effects of Varying Sampling Frequency on the Analysis of Continuous ECG Data Streams. DMAH@VLDB Ruhi Mahajan, Rishikesan Kamaleswaran, Oguz Akbilgic
2016	—	`conf`	CoRAD: Visual Analytics for Cohort Analysis. ICHI Rishikesan Kamaleswaran, Andrew James, Christopher Collins, Carolyn McGregor
2016	J	`jnl`	PhysioEx: Visual Analysis of Physiological Event Streams. Comput. Graph. Forum Rishikesan Kamaleswaran, Christopher Collins, Andrew James, Carolyn McGregor
2014	B	`conf`	A Real-Time Multi-dimensional Visualization Framework for Critical and Complex Environments. CBMS Rishikesan Kamaleswaran, Carolyn McGregor
2013	B	`conf`	Cloud framework for real-time synchronous physiological streams to support rural and remote Critical Care. CBMS Rishikesan Kamaleswaran, Anirudh Thommandram, Qi Zhou, J. Mikael Eklund, Yun Cao, W. P. Wang, Carolyn McGregor
2012	—	`conf`	A novel framework for event stream processing of clinical practice guidelines. BHI Rishikesan Kamaleswaran, Carolyn McGregor, Andrew James
2012	—	`conf`	CBPsp: Complex Business Processes for Stream Processing. CCECE Rishikesan Kamaleswaran, Carolyn McGregor
2012	—	`conf`	Integrating complex business processes for knowledge-driven clinical decision support systems. EMBC Rishikesan Kamaleswaran, Carolyn McGregor
2011	—	`conf`	A method for interactive hypothesis testing for clinical decision support systems using Ptolemy II. CCECE Rishikesan Kamaleswaran, Mike Eklund
2010	B	`conf`	A framework for nursing documentation enabling integration with HER and real-time patient monitoring. CBMS Jennifer Percival, Carolyn McGregor, Nathan Percival, Rishikesan Kamaleswaran, Sascha Tuuha
2010	—	`conf`	On the integration of an artifact system and a real-time healthcare analytics system. IHI Marion Blount, Carolyn McGregor, Andrew James, Daby M. Sow, Rishikesan Kamaleswaran, Sascha Tuuha, Jennifer Percival, Nathan Percival