Rishikesan Kamaleswaran
Orcid: 0000-0001-8366-4811
According to our database1,
Rishikesan Kamaleswaran
authored at least 46 papers
between 2010 and 2024.
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Bibliography
2024
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, January, 2024
Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing.
CoRR, 2024
Robust Meta-Model for Predicting the Need for Blood Transfusion in Non-traumatic ICU Patients.
CoRR, 2024
2023
Enabling Continuous Breathing-Phase Contextualization via Wearable-Based Impedance Pneumography and Lung Sounds: A Feasibility Study.
IEEE J. Biomed. Health Informatics, December, 2023
ClotCatcher: a novel natural language model to accurately adjudicate venous thromboembolism from radiology reports.
BMC Medical Informatics Decis. Mak., December, 2023
J. Am. Medical Informatics Assoc., June, 2023
IEEE J. Sel. Areas Inf. Theory, 2023
Mixed-Integer Projections for Automated Data Correction of EMRs Improve Predictions of Sepsis among Hospitalized Patients.
CoRR, 2023
CoRR, 2023
Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
A Wearable Multimodal Sensing System for Tracking Changes in Pulmonary Fluid Status, Lung Sounds, and Respiratory Markers.
Sensors, 2022
A Machine Learning-Enabled Partially Observable Markov Decision Process Framework for Early Sepsis Prediction.
INFORMS J. Comput., 2022
UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Machine Learning for Health, 2022
Initial Validation of Multi-Frequency Patch-Based Impedance Pneumography in Hospital Settings.
Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022
Online Critical-State Detection of Sepsis Among ICU Patients using Jensen-Shannon Divergence.
Proceedings of the AMIA 2022, 2022
Challenges in Custom Machine Learning Model Implementation in a Vendor System: Use of a Deep Learning Model for Pediatric CLABSI Prediction.
Proceedings of the AMIA 2022, 2022
2021
Predicting presumed serious infection among hospitalized children on central venous lines with machine learning.
Comput. Biol. Medicine, 2021
HeMA: A hierarchically enriched machine learning approach for managing false alarms in real time: A sepsis prediction case study.
Comput. Biol. Medicine, 2021
Predicting Same Hospital Readmission following Fontan Cavopulmonary Anastomosis using Machine Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Machine Learning Methods to Predict Acute Respiratory Failure and Acute Respiratory Distress Syndrome.
Frontiers Big Data, 2020
Machine learning predicts early onset of fever from continuous physiological data of critically ill patients.
CoRR, 2020
Predicting Volume Responsiveness Among Sepsis Patients Using Clinical Data and Continuous Physiological Waveforms.
Proceedings of the AMIA 2020, 2020
2019
Improving Prediction Performance Using Hierarchical Analysis of Real-Time Data: A Sepsis Case Study.
IEEE J. Biomed. Health Informatics, 2019
PhysOnline: An Open Source Machine Learning Pipeline for Real-Time Analysis of Streaming Physiological Waveform.
IEEE J. Biomed. Health Informatics, 2019
Correction to: A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling.
J. Heal. Informatics Res., 2019
A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling.
J. Heal. Informatics Res., 2019
A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier.
Int. J. Medical Informatics, 2019
2018
A hybrid feature extraction method to detect Atrial Fibrillation from single lead ECG recording.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
2017
Effects of Varying Sampling Frequency on the Analysis of Continuous ECG Data Streams.
Proceedings of the Data Management and Analytics for Medicine and Healthcare, 2017
Cardiac Rhythm Classification from a Short Single Lead ECG Recording via Random Forest.
Proceedings of the Computing in Cardiology, 2017
2016
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016
2014
A Real-Time Multi-dimensional Visualization Framework for Critical and Complex Environments.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014
2013
Cloud framework for real-time synchronous physiological streams to support rural and remote Critical Care.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013
2012
Integrating complex business processes for knowledge-driven clinical decision support systems.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the 25th IEEE Canadian Conference on Electrical and Computer Engineering, 2012
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012
2011
A method for interactive hypothesis testing for clinical decision support systems using Ptolemy II.
Proceedings of the 24th Canadian Conference on Electrical and Computer Engineering, 2011
2010
On the integration of an artifact system and a real-time healthcare analytics system.
Proceedings of the ACM International Health Informatics Symposium, 2010
A framework for nursing documentation enabling integration with HER and real-time patient monitoring.
Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010