Development and validation OHDSI network studies for the covid19 prediction topic

Building ensembles using the PatientLevelPrediction package

OHDSI network study: external validation of a simple score model that predicts whether patients newly diagnosed with MDD actually have bipolar

[3rd Place DevSC] Telegram Chatbot POC for the Brazilian Healthcare System

A skeleton package to use as a template for studies developing prediction models

WOO 2019 study: Predicting breast cancer within 3 years of a negative mammography

A package for implementing the death imputation model on OMOP CDM data

This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data program Health Analytics Course.

PLP-Pipeline is a patient-level prediction pipeline using Julia and DrWatson. It predicts diabetes onset in hypertension patients by analyzing healthcare data with OMOP CDM. The pipeline includes cohort definition, feature extraction, preprocessing, and model training using L1 Logistic Regression, Random Forest, and XGBoost.

A skeleton package to use as a template for studies validating prediction models