AI model evaluation with a focus on healthcare
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Updated
Jun 12, 2025 - Jupyter Notebook
AI model evaluation with a focus on healthcare
NeurIPS'24 DB (Spotlight) | Instruction Tuning Large Language Models to Understand Electronic Health Records
An open-source non-official community implementation of the model from the paper: Surgical Robot Transformer (SRT): Imitation Learning for Surgical Tasks: https://surgical-robot-transformer.github.io/
Match synthetic patients to clinicaltrials.gov restAPI data with ChatGPT4. Course project for Johns Hopkins University EN.705.651.8VL : Large Language Models: Theory and Practice
An Intelligent Health LLM System for Personalized Medication Guidance and Support.
CareConnect uses state-of-the-art large language models (LLMs) to provide rapid, reliable medical guidance. This project addresses increasing wait times and health misinformation, offering timely assistance and supporting informed decision-making to alleviate the burden on the healthcare system.
Machinery is a Rust-based framework for continuous individual health monitoring that constructs accurate, personalized health models through iterative system prediction
Dimensionality Reduction techniques to improve machine learning model performance for Fetal health dataset
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