Provenience of discharge summaries

Code going through Steyerberg's Clinical Prediction Models textbook (using mix of Python and R)

This project evaluates spatial and temporal correlation of UCSF antibiogram data

OG 2019 - Project 06: Machine learning for dementia clinical forecasting

Time-series Renal ENd-stage Decision-Assisting Learner

CureDAO is a decentralized alliance of individuals, government, businesses, and nonprofits devoted to the minimization of suffering.

Imputation algorithm capable of handling different types of missingness in clinical data (7th place solution for the Genentech 404 Challenge)

AI competition for predicting Lymph node metastasis of breast cancer

Clinics management SaaS platform for LAMP servers

This project evaluates the relationship between Area Deprivation Index (ADI), clinical severity, length of stay (LOS), and readmission among COVID-19 patients at UCSF

Machine learning algorithm to predict the long-term adverse cardiovascular events following coronary artery bypass surgery (CABG)

COVID-19 outcome prediction models based on machine learning algorithms. The unique feature is a custom cross-validation strategy based on the three clinical datasets of age- and gender-matched patients.

Skip-gram and FastText models to perform word embeddings for building a search engine for clinical trials dataset with a Streamlit user interface.

Analyzing TCGA cohorts and multiomic data in R

Fall 2020 - Computational Medicine - course project

CLIFT : Analysing Natural Distribution Shift on Question Answering Models in Clinical Domain

A frontend showing the state of clinical trials of current Covid-19 vaccines using the API of clinicaltrials.gov. Built with Vue 3 and Bootstrap 5.

This repository contains one of my Google Sheet files and a conference paper that has been accepted in ISPA IEEE, The Sheet used for organizing research papers related to breast cancer analysis. The focus of the papers is on the utilization of clinical datasets and machine/deep learning techniques. The collection spans the period from 2020 to 2023.

HEART DISEASE PREDICTION: Prediction of whether or not a patient had a heart disease using the Clinical parameters about a patient.