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Rishikesan Kamaleswaran

Associate Professor

Emory University

United States

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Research Interests

Medical Imaging

10%

Radiology

10%

Evidence-based Medicine

10%

Pharmacoepidemiology

10%

Active Tectonic

10%

Medication Management

10%

Ct Imaging

10%

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Articles15

Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction

Article Link

Year:

2025

SpO2/FiO2 ratio as a better metric for assessment of RBC transfusion effectiveness in non-traumatic critically ill patients with physiologic derangements

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Year:

2025

Association of the child opportunity index with in-hospital mortality and persistence of organ dysfunction at one week after onset of Phoenix Sepsis among children admitted to the pediatric intensive care unit with suspected infection

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Year:

2025

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

Article Link

Year:

2025

RespBERT: A Multi-Site Validation of a Natural Language Processing Algorithm, of Radiology Notes to Identify Acute Respiratory Distress Syndrome (ARDS)

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Year:

2025

Riemannian manifold-based geometric clustering of continuous glucose monitoring to improve personalized diabetes management

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Year:

2024

Understanding Typology of Preexposure Prophylaxis (PrEP) Persistence Trajectories Among Male PrEP Users in the United States

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Year:

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

Article Link

Year:

2024

Association between comorbidities at ICU admission and post-Sepsis physical impairment: A retrospective cohort study

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Year:

2024

Augmenting mortality prediction with medication data and machine learning models

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Year:

2024

Uncertainty-Aware Convolutional Neural Network for Identifying Bilateral Opacities on Chest X-rays: A Tool to Aid Diagnosis of Acute Respiratory Distress Syndrome

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Year:

2023

Synthetic seismocardiogram generation using a transformer-based neural network

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Year:

2023

Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible

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Year:

2022

Big data in the assessment of pediatric medication safety

Article Link

Year:

2020

Using Machine Learning to Predict Early Onset Acute Organ Failure in Critically Ill Intensive Care Unit Patients With Sickle Cell Disease: Retrospective Study

Article Link

Year:

2020

Collaborators8

John W. Devlin

UNITED STATES

Ashley Naimi

Associate Professor

Emory University

UNITED STATES

Samuel Jenness

Associate Professor

Emory University

UNITED STATES

Patrick Tighe

Associate Professor

University of Florida

UNITED STATES

Craig M. Coopersmith

Emory University School of Medicine

UNITED STATES

Brian Murray

Assistant Professor

UNITED STATES

Asim Gazi

Georgia Institute of Technology

UNITED STATES

William Hogan

Professor and Director

Medical College of Wisconsin

UNITED STATES

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