HB
Harsh Bandhey
Cedars-Sinai Medical Center, Duke University, Indraprastha Institute of Information Technology Delhi
0000-0002-4113-0616
Employment
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Cedars-Sinai Medical Center Data Scientist
Education
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Duke University Master of Science2021 - 2023
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Indraprastha Institute of Information Technology Delhi Bachelor of technology2017 - 2021
Projects & Funding
Projects & funding information is unavailable.
Publications (26)
- Phase-Alternation and Tree-Initialization to Facilitate Interpretable Rule-based Machine Learning Save
- Survival-LCS: Rule-Based Survival Analysis without Proportional Hazard Assumptions Save
- Audience-Customized Translation of Rule-Based Evidence with Large Language Models Across Multiplexer Benchmarks Save
- Rule-based Machine Learning: Separating Rule and Rule-Set Pareto-Optimization for Interpretable Noise-Agnostic Modeling Save
- A Novel Machine Learning Algorithm Discovers High Risk HLA-A Amino Acid Mismatches that Distinguish Divergent HLA-A Allele Families in Kidney Transplant Recipients Save
- A Novel Machine Learning Algorithm Discovers Mismatched HLA Class IAmino Acid Positions That Confer Incremental Kidney Graft Failure Risk Independent of HLA Class II Save
- HLA Class I Amino Acid Mismatches That Distinguish Divergent HLA-AAllele Lineages Confer Incremental Risk of Kidney Allograft Failure Independent of Class II Mismatches Save
- Identifying HLA amino acid mismatches that predict kidney graft failure with cross validation using FIBERS 2.0 machine learning binning Save
- Stepwise Models Identify Risk of Kidney Allograft Failure Associated with HLA Amino Acid Mismatches Among Adult FSGS Recipients Save
- Survival-LCS: A Rule-Based Machine Learning Approach to Survival Analysis Save