Rishikesan Kamaleswaran

Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative

Tellen D. Bennett, Richard A. Moffitt, Janos Hajagos et al. · JAMA Network Open · 2021 · 239 citations · Full text

Analysis of Discrepancies Between Pulse Oximetry and Arterial Oxygen Saturation Measurements by Race and Ethnicity and Association With Organ Dysfunction and Mortality

An-Kwok Ian Wong, Marie‐Laure Charpignon, Han Kim et al. · JAMA Network Open · 2021 · 233 citations · Full text

Applying Artificial Intelligence to Identify Physiomarkers Predicting Severe Sepsis in the PICU*

Rishikesan Kamaleswaran, Oğuz Akbilgiç, Madhura Hallman et al. · Pediatric Critical Care Medicine · 2018 · 118 citations

A robust deep convolutional neural network for the classification of abnormal cardiac rhythm using single lead electrocardiograms of variable length

Rishikesan Kamaleswaran, Ruhi Mahajan, Oğuz Akbilgiç · Physiological Measurement · 2018 · 105 citations

Machine Learning Identifies Complicated Sepsis Course and Subsequent Mortality Based on 20 Genes in Peripheral Blood Immune Cells at 24 H Post-ICU Admission

Shayantan Banerjee, Akram Mohammed, Hector R. Wong et al. · Frontiers in Immunology · 2021 · 69 citations · Full text