Rishikesan Kamaleswaran

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 16

Top Venues

Hepatology communications

PLOS digital health

Bioengineering (Basel, Switzerland)

Journal of medical Internet research

Emory University

University of Ontario Institute of Technology (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Emory University Oct 01 2019

United States

Assistant Professor :: Biomedical Informatics

University of Tennessee Health Science Center Sep 02 2016 - Oct 01 2019

United States

Assistant Professor :: Pediatrics

Education History

University of Ontario Institute of Technology - Jul 21 2016

Canada

PHD

Publications

Helaina E Huneault, Alasdair E Gent, Catherine Crawford Cohen, Zhulin He, Zachery R Jarrell, Rishikesan Kamaleswaran, Miriam B Vos
Validation of a screening panel for pediatric metabolic dysfunction-associated steatotic liver disease using metabolomics. Hepatology communications 8 (3) (2024)
Helaina E Huneault, Alasdair E Gent, Catherine Crawford Cohen, Zhulin He, Zachery R Jarrell, Rishikesan Kamaleswaran, Miriam B Vos
Validation of a screening panel for pediatric metabolic dysfunction-associated steatotic liver disease using metabolomics. Hepatology communications 8 (3) (2024)
Helaina E Huneault, Alasdair E Gent, Catherine Crawford Cohen, Zhulin He, Zachery R Jarrell, Rishikesan Kamaleswaran, Miriam B Vos
Validation of a screening panel for pediatric metabolic dysfunction-associated steatotic liver disease using metabolomics. Hepatology communications 8 (3) (2024)
Helaina E Huneault, Alasdair E Gent, Catherine Crawford Cohen, Zhulin He, Zachery R Jarrell, Rishikesan Kamaleswaran, Miriam B Vos
Validation of a screening panel for pediatric metabolic dysfunction-associated steatotic liver disease using metabolomics. Hepatology communications 8 (3) (2024)
Helaina E Huneault, Alasdair E Gent, Catherine Crawford Cohen, Zhulin He, Zachery R Jarrell, Rishikesan Kamaleswaran, Miriam B Vos
Validation of a screening panel for pediatric metabolic dysfunction-associated steatotic liver disease using metabolomics. Hepatology communications 8 (3) (2024)
Mohammad Nikbakht, Asim H Gazi, Jonathan Zia, Sungtae An, David J Lin, Omer T Inan, Rishikesan Kamaleswaran
Synthetic seismocardiogram generation using a transformer-based neural network. Journal of the American Medical Informatics Association : JAMIA (2023)
Alireza Rafiei, Milad Ghiasi Rad, Andrea Sikora, Rishikesan Kamaleswaran
Improving irregular temporal modeling by integrating synthetic data to the electronic medical record using conditional GANs: a case study of fluid overload prediction in the intensive care unit. medRxiv : the preprint server for health sciences (2023)
Mehak Arora, Carolyn M Davis, Niraj R Gowda, Dennis G Foster, Angana Mondal, Craig M Coopersmith, Rishikesan Kamaleswaran
Uncertainty-Aware Convolutional Neural Network for Identifying Bilateral Opacities on Chest X-rays: A Tool to Aid Diagnosis of Acute Respiratory Distress Syndrome. Bioengineering (Basel, Switzerland) 10 (8) (2023)
Tyler J Loftus, Patrick J Tighe, Tezcan Ozrazgat-Baslanti, John P Davis, Matthew M Ruppert, Yuanfang Ren, Benjamin Shickel, Rishikesan Kamaleswaran, William R Hogan, J Randall Moorman, Gilbert R Upchurch, Parisa Rashidi, Azra Bihorac
Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible. PLOS digital health 1 (1) (2022)
Tyler J Loftus, Patrick J Tighe, Tezcan Ozrazgat-Baslanti, John P Davis, Matthew M Ruppert, Yuanfang Ren, Benjamin Shickel, Rishikesan Kamaleswaran, William R Hogan, J Randall Moorman, Gilbert R Upchurch, Parisa Rashidi, Azra Bihorac
Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible. PLOS digital health 1 (1) (2022)
Tyler J Loftus, Patrick J Tighe, Tezcan Ozrazgat-Baslanti, John P Davis, Matthew M Ruppert, Yuanfang Ren, Benjamin Shickel, Rishikesan Kamaleswaran, William R Hogan, J Randall Moorman, Gilbert R Upchurch, Parisa Rashidi, Azra Bihorac
Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible. PLOS digital health 1 (1) (2022)
Tyler J Loftus, Patrick J Tighe, Tezcan Ozrazgat-Baslanti, John P Davis, Matthew M Ruppert, Yuanfang Ren, Benjamin Shickel, Rishikesan Kamaleswaran, William R Hogan, J Randall Moorman, Gilbert R Upchurch, Parisa Rashidi, Azra Bihorac
Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible. PLOS digital health 1 (1) (2022)
Lakshya Singhal, Yash Garg, Philip Yang, Azade Tabaie, A Ian Wong, Akram Mohammed, Lokesh Chinthala, Dipen Kadaria, Amik Sodhi, Andre L Holder, Annette Esper, James M Blum, Robert L Davis, Gari D Clifford, Greg S Martin, Rishikesan Kamaleswaran
eARDS: A multi-center validation of an interpretable machine learning algorithm of early onset Acute Respiratory Distress Syndrome (ARDS) among critically ill adults with COVID-19. PloS one 16 (9) (2021)
Akram Mohammed, Pradeep S B Podila, Robert L Davis, Kenneth I Ataga, Jane Silva Hankins, Rishikesan Kamaleswaran
Using Machine Learning to Predict Early Onset Acute Organ Failure in Critically Ill Intensive Care Unit Patients With Sickle Cell Disease: Retrospective Study. Journal of medical Internet research 22 (5) (2020)
Akram Mohammed, Yan Cui, Valeria R Mas, Rishikesan Kamaleswaran
Differential gene expression analysis reveals novel genes and pathways in pediatric septic shock patients. Scientific reports 9 (1) (2019)
Rishikesan Kamaleswaran, Carolyn McGregor
A Review of Visual Representations of Physiologic Data. JMIR medical informatics 4 (4) (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Rishikesan Kamaleswaran