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Machine Learning in Healthcare

Machine Learning in Healthcare

69 faculty research Machine Learning in Healthcare on GradNova.

K
Advanced Electron Microscopy Techniques and Applications
Electron and X-Ray Spectroscopy Techniques
Machine Learning in Healthcare
RNA Modifications and Cancer
+1
P
AI for Healthcare
Databases, Data Mining, and Artificial Intelligence
Natural Language Processing
Biomedical Text Mining and Ontologies
+4
M
Clinical Informatics: Electronic Health Record Analysis
Machine Learning: Probabilistic Models, Bayesian Inference, Variational Methods, Time-Series Analysis, Semi-Supervised Learning
Machine Learning in Healthcare
Metal Complexes Synthesis and Properties
+3
B
Anomaly Detection Techniques and Applications
ECG Monitoring and Analysis
EEG and Brain-Computer Interfaces
Explainable Artificial Intelligence (xai)
+1
B
Bobak Mortazavi

Associate Professor, Computer Science & Engineering

Computer Science

Texas A&M University

Context-Aware Activity Recognition Systems
ECG Monitoring and Analysis
Machine Learning in Healthcare
Non-Invasive Vital Sign Monitoring
+1
Z
Zoran Obradovic

Laura H. Carnell Professor; Director, Center for Data Analytics and Biomedical Informatics

Computer Science

Temple University

Comp. Bio & Bioinformatics
Machine Learning
Machine Learning & Data Mining
Protein Structure and Dynamics
+4
S
Bayesian Modeling and Causal Inference
Diabetes Management and Research
Machine Learning in Healthcare
Nutritional Studies and Diet
+1
R
ECG Monitoring and Analysis
Lung Cancer Diagnosis and Treatment
Machine Learning in Healthcare
Protein Structure and Dynamics
+1
Z
Genetic Associations and Epidemiology
Genomics and Rare Diseases
Machine Learning in Healthcare
D
Human-Centric AI
Machine Learning in Healthcare
Multimodal Machine Learning
S
Suchi Saria

John C. Malone Associate Professor

Computer Science

Johns Hopkins University

Computational Health Informatics
Information Extraction in Domains With Structured and Unstructured Data
Machine Learning
Predictive Modeling in Healthcare
+7
M
Causal Inference
Machine Learning
Philosophical Ethics and Theory
Advanced Causal Inference Techniques
+3
M
Adversarial Robustness in Machine Learning
Explainable Artificial Intelligence (xai)
Machine Learning in Healthcare
Privacy-Preserving Technologies in Data
+1
F
Finale Doshi-Velez

Herchel Smith Professor of Computer Science

Computer Science

Harvard University

Advanced Bandit Algorithms Research
Explainable Artificial Intelligence (xai)
Reinforcement Learning in Robotics
Adversarial Robustness in Machine Learning
+2
S
Artificial Intelligence in Healthcare
Artificial Intelligence in Healthcare and Education
Machine Learning in Healthcare
Sepsis Diagnosis and Treatment
+1
J
Joyce Ho

Associate Professor, Director of Graduate Studies CS MS, Winship Research Professor

Computer Science

Emory University

Early Childhood Education and Development
Genomics and Phylogenetic Studies
Reading and Literacy Development
Species Distribution and Climate Change
+6
M
Monica Agrawal

Assistant Professor of Biostatistics & Bioinformatics; Assistant Professor of Computer Science (Joint)

Computer Science

Duke University

Artificial Intelligence in Healthcare and Education
Biomedical Text Mining and Ontologies
Machine Learning in Healthcare
Natural Language Processing Techniques
+1
S
Sarah M. Preum

Assistant Professor of Computer Science Technical Associate Director, Dartmouth Center for Precision Health and Artificial Intelligence

Computer Science

Dartmouth College

Biomedical Text Mining and Ontologies
Machine Learning in Healthcare
Misinformation and Its Impacts
Natural Language Processing Techniques
+1
A
Aaron Masino

Associate Professor, Ph.D. Program Coordinator, BDSI

Computer Science

Clemson University

Artificial Intelligence in Healthcare and Education
Biomedical Text Mining and Ontologies
Genomics and Rare Diseases
Machine Learning in Healthcare
+1
Y
Yinghui Wu, PhD

Theodore L. & Dana J. Schroeder Associate Professor in Computer Science & Engineering , Department of Computer and Data Sciences, Case School of Engineering

Computer Science

Case Western Reserve University

Advanced Graph Neural Networks
Explainable Artificial Intelligence (xai)
Machine Learning in Healthcare
Graph Theory and Algorithms
+3
A
Artur W. Dubrawski

Alumni Research Professor of Computer Science

Computer Science

Carnegie Mellon University

Healthcare Technology and Patient Monitoring
Machine Learning in Healthcare
Neural Networks and Applications
Non-Invasive Vital Sign Monitoring
+1
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