Rishikesan Kamaleswaran

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 43

Top Topics

Machine Learning

Physiological Data

Top Venues

Comput. Biol. Medicine

IEEE J. Biomed. Health Informatics

Publications

Alireza Rafiei, Ronald Moore, Tilendra Choudhary, Curtis Marshall, Geoffrey Smith, John D. Roback, Ravi M. Patel, Cassandra D. Josephson, Rishikesan Kamaleswaran
Robust Meta-Model for Predicting the Need for Blood Transfusion in Non-traumatic ICU Patients. CoRR (2024)
Seibi Kobara, Alireza Rafiei, Masoud Nateghi, Selen Bozkurt, Rishikesan Kamaleswaran, Abeed Sarker
Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing. AIME (1) (2024)
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
Parsimonious waveform-derived features consisting of pulse arrival time and heart rate variability predicts the onset of septic shock. Biomed. Signal Process. Control. 92 (2024)
Alireza Rafiei, Milad Ghiasi Rad, Andrea Sikora, Rishikesan Kamaleswaran
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 168 (2024)
Seibi Kobara, Alireza Rafiei, Masoud Nateghi, Selen Bozkurt, Rishikesan Kamaleswaran, Abeed Sarker
Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing. CoRR (2024)
Alan Wu, Tilendra Choudhary, Pulakesh Upadhyaya, Ayman Ali, Philip Yang, Rishikesan Kamaleswaran
Deep Representation Learning-Based Dynamic Trajectory Phenotyping for Acute Respiratory Failure in Medical Intensive Care Units. CoRR (2024)
Mehak Arora, Hassan Mortagy, Nathan Dwarshius, Swati Gupta, Andre L. Holder, Rishikesan Kamaleswaran
Mixed-Integer Projections for Automated Data Correction of EMRs Improve Predictions of Sepsis among Hospitalized Patients. CoRR (2023)
Song Wei, Yao Xie, Christopher S. Josef, Rishikesan Kamaleswaran
Causal Graph Discovery From Self and Mutually Exciting Time Series. IEEE J. Sel. Areas Inf. Theory 4 (2023)
Jesus Antonio Sanchez-Perez, Asim Hossain Gazi, Samer A. Mabrouk, John A. Berkebile, Goktug C. Ozmen, Rishikesan Kamaleswaran, Omer T. Inan
Enabling Continuous Breathing-Phase Contextualization via Wearable-Based Impedance Pneumography and Lung Sounds: A Feasibility Study. IEEE J. Biomed. Health Informatics 27 (12) (2023)
Song Wei, Yao Xie, Christopher S. Josef, Rishikesan Kamaleswaran
Causal Graph Discovery from Self and Mutually Exciting Time Series. CoRR (2023)
Alireza Rafiei, Ronald Moore, Sina Jahromi, Farshid Hajati, Rishikesan Kamaleswaran
Meta-learning in healthcare: A survey. CoRR (2023)
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
ClotCatcher: a novel natural language model to accurately adjudicate venous thromboembolism from radiology reports. BMC Medical Informatics Decis. Mak. 23 (1) (2023)
Jeffrey Smith, Andre L. Holder, Rishikesan Kamaleswaran, Yao Xie
Detecting algorithmic bias in medical AI-models. CoRR (2023)
Mohammad Nikbakht, Asim Hossain Gazi, Jonathan Zia, Sungtae An, David Jimmy Lin, Omer T. Inan, Rishikesan Kamaleswaran
Synthetic seismocardiogram generation using a transformer-based neural network. J. Am. Medical Informatics Assoc. 30 (7) (2023)
Song Wei, Ronald Moore, Hanyu Zhang, Yao Xie, Rishikesan Kamaleswaran
Transfer Causal Learning: Causal Effect Estimation with Knowledge Transfer. CoRR (2023)
Song Wei, Yao Xie, Christopher S. Josef, Rishikesan Kamaleswaran
Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes. KDD (2023)
Jie Wang, Ronald Moore, Yao Xie, Rishikesan Kamaleswaran
Improving Sepsis Prediction Model Generalization With Optimal Transport. ML4H@NeurIPS (2022)
Jesus Antonio Sanchez-Perez, Samer Mabrouk, John A. Berkebile, Annette Esper, Philip Yang, Rishikesan Kamaleswaran, Omer T. Inan
Initial Validation of Multi-Frequency Patch-Based Impedance Pneumography in Hospital Settings. IEEE SENSORS (2022)
Jeffrey Smith, Christopher S. Josef, Yao Xie, Rishikesan Kamaleswaran
Online Critical-State Detection of Sepsis Among ICU Patients using Jensen-Shannon Divergence. AMIA (2022)
Zeyu Liu, Anahita Khojandi, Xueping Li, Akram Mohammed, Robert L. Davis, Rishikesan Kamaleswaran
A Machine Learning-Enabled Partially Observable Markov Decision Process Framework for Early Sepsis Prediction. INFORMS J. Comput. 34 (4) (2022)
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
A Wearable Multimodal Sensing System for Tracking Changes in Pulmonary Fluid Status, Lung Sounds, and Respiratory Markers. Sensors 22 (3) (2022)
Anni Zhou, Raheem Beyah, Rishikesan Kamaleswaran
OnAI-Comp: An Online AI Experts Competing Framework for Early Sepsis Detection. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Yanbo Xu, Alind Khare, Glenn Matlin, Monish Ramadoss, Rishikesan Kamaleswaran, Chao Zhang, Alexey Tumanov
UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification. NeurIPS (2022)
Ronald Moore, Rishikesan Kamaleswaran
ALRt: An Active Learning Framework for Irregularly Sampled Temporal Data. CoRR (2022)
Yanbo Xu, Alind Khare, Glenn Matlin, Monish Ramadoss, Rishikesan Kamaleswaran, Chao Zhang, Alexey Tumanov
UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification. CoRR (2022)
Jonathan M. Beus, Edwin Ray, Sarah Thompson, Ryan Birmingham, Brad Cundiff, Mike Malto, Kevin Duncan, Dileep Gunda, Rishikesan Kamaleswaran, Evan Orenstein
Challenges in Custom Machine Learning Model Implementation in a Vendor System: Use of a Deep Learning Model for Pediatric CLABSI Prediction. AMIA (2022)
Kushal Kodnad, Azade Tabaie, Joshua M. Rosenblum, Rishikesan Kamaleswaran
Predicting Same Hospital Readmission following Fontan Cavopulmonary Anastomosis using Machine Learning. BIBM (2021)
Song Wei, Yao Xie, Christopher S. Josef, Rishikesan Kamaleswaran
Inferring Granger Causality from Irregularly Sampled Time Series. CoRR (2021)
Azade Tabaie, Evan W. Orenstein, Shamim Nemati, Rajit K. Basu, Swaminathan Kandaswamy, Gari D. Clifford, Rishikesan Kamaleswaran
Predicting presumed serious infection among hospitalized children on central venous lines with machine learning. Comput. Biol. Medicine 132 (2021)
Zeyu Liu, Anahita Khojandi, Akram Mohammed, Xueping Li, Lokesh Chinthala, Robert L. Davis, Rishikesan Kamaleswaran
HeMA: A hierarchically enriched machine learning approach for managing false alarms in real time: A sepsis prediction case study. Comput. Biol. Medicine 131 (2021)
Aditya Singh, Akram Mohammed, Lokesh Chinthala, Rishikesan Kamaleswaran
Machine learning predicts early onset of fever from continuous physiological data of critically ill patients. CoRR (2020)
Rishikesan Kamaleswaran, Jiaoying Lian, Dong-Lien Lin, Himasagar Molakapuri, Sri Manikanth Nunna, Parth Shah, Shiv Dua, Rema Padman
Predicting Volume Responsiveness Among Sepsis Patients Using Clinical Data and Continuous Physiological Waveforms. AMIA (2020)
An-Kwok Ian Wong, Patricia C. Cheung, Rishikesan Kamaleswaran, Greg S. Martin, Andre L. Holder
Machine Learning Methods to Predict Acute Respiratory Failure and Acute Respiratory Distress Syndrome. Frontiers Big Data 3 (2020)
Franco van Wyk, Anahita Khojandi, Rishikesan Kamaleswaran
Improving Prediction Performance Using Hierarchical Analysis of Real-Time Data: A Sepsis Case Study. IEEE J. Biomed. Health Informatics 23 (3) (2019)
Franco van Wyk, Anahita Khojandi, Brian Williams, Don Macmillan, Robert L. Davis, Daniel A. Jacobson, Rishikesan Kamaleswaran
A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling. J. Heal. Informatics Res. 3 (2) (2019)
Franco van Wyk, Anahita Khojandi, Brian Williams, Don Macmillan, Robert L. Davis, Daniel A. Jacobson, Rishikesan Kamaleswaran
Correction to: A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling. J. Heal. Informatics Res. 3 (2) (2019)
Jacob R. Sutton, Ruhi Mahajan, Oguz Akbilgic, Rishikesan Kamaleswaran
PhysOnline: An Open Source Machine Learning Pipeline for Real-Time Analysis of Streaming Physiological Waveform. IEEE J. Biomed. Health Informatics 23 (1) (2019)
Franco van Wyk, Anahita Khojandi, Akram Mohammed, Edmon Begoli, Robert L. Davis, Rishikesan Kamaleswaran
A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier. Int. J. Medical Informatics 122 (2019)
Ruhi Mahajan, Rishikesan Kamaleswaran, Oguz Akbilgic
A hybrid feature extraction method to detect Atrial Fibrillation from single lead ECG recording. BHI (2018)
Ruhi Mahajan, Rishikesan Kamaleswaran, John Andrew Howe, Oguz Akbilgic
Cardiac Rhythm Classification from a Short Single Lead ECG Recording via Random Forest. CinC (2017)
Ruhi Mahajan, Rishikesan Kamaleswaran, Oguz Akbilgic
Effects of Varying Sampling Frequency on the Analysis of Continuous ECG Data Streams. DMAH@VLDB (2017)
Rishikesan Kamaleswaran, Andrew James, Christopher Collins, Carolyn McGregor
CoRAD: Visual Analytics for Cohort Analysis. ICHI (2016)
Rishikesan Kamaleswaran, Christopher Collins, Andrew James, Carolyn McGregor
PhysioEx: Visual Analysis of Physiological Event Streams. Comput. Graph. Forum 35 (3) (2016)
Rishikesan Kamaleswaran, Carolyn McGregor
A Real-Time Multi-dimensional Visualization Framework for Critical and Complex Environments. CBMS (2014)
Rishikesan Kamaleswaran, Anirudh Thommandram, Qi Zhou, J. Mikael Eklund, Yun Cao, W. P. Wang, Carolyn McGregor
Cloud framework for real-time synchronous physiological streams to support rural and remote Critical Care. CBMS (2013)
Rishikesan Kamaleswaran, Carolyn McGregor
Integrating complex business processes for knowledge-driven clinical decision support systems. EMBC (2012)
Rishikesan Kamaleswaran, Carolyn McGregor, Andrew James
A novel framework for event stream processing of clinical practice guidelines. BHI (2012)
Rishikesan Kamaleswaran, Carolyn McGregor
CBPsp: Complex Business Processes for Stream Processing. CCECE (2012)
Rishikesan Kamaleswaran, Mike Eklund
A method for interactive hypothesis testing for clinical decision support systems using Ptolemy II. CCECE (2011)
Jennifer Percival, Carolyn McGregor, Nathan Percival, Rishikesan Kamaleswaran, Sascha Tuuha
A framework for nursing documentation enabling integration with HER and real-time patient monitoring. CBMS (2010)
Marion Blount, Carolyn McGregor, Andrew James, Daby M. Sow, Rishikesan Kamaleswaran, Sascha Tuuha, Jennifer Percival, Nathan Percival
On the integration of an artifact system and a real-time healthcare analytics system. IHI (2010)