readmission

SQL analysis of hospital readmission rates using patient data

Your own 🤖 Doctor

Explainable machine learning for 30-day hospital readmission risk in diabetic patients, with cost-aware thresholds, fairness analysis, a FastAPI service, and a Streamlit risk calculator.

Analyzing and predicting 30-day readmission to help hospitals intervene and prevent readmission to reduce costs

Machine-learning model that predicts hospital readmission risk from structured clinical data (Python, Jupyter, Docker).

30-day readmission prediction for diabetic patients (UCI, 101k encounters): LR, RF, XGBoost, ROC-AUC 0.67

흉부 X선과 EHR 로 30일 재입원을 예측하고, 누수, 보정, 서브그룹, 결측 모달리티로 성능 숫자를 검증함

EHR-style readmission and care-quality analytics project with Python, SQL, validation tests, and Power BI

COVID-19 30-day readmission risk pipeline — EHR cohort construction, ML scoring, Streamlit care manager dashboard

Privacy-conscious Bronze-to-Gold healthcare data pipeline for patient identity resolution and disclosure-controlled readmission analytics.

Predicting the readmission of Diabetic patients using Machine Learning based on various factors.

30-day hospital readmission risk on 99,343 real inpatient encounters. Why AUC 0.66 is still useful, why balanced class weights break calibration, and what a care-management team actually gets.

Readmission risk judged at a fixed call capacity: on 101,766 UCI encounters split by patient, a 10% LightGBM call list reaches 25.0% of 30-day readmissions vs 20.5% for prior stays and 15.8% for LACE.

Blake's Haas Capstone Project - Patient Readmissions Prediction

30-day hospital readmission prediction on 100K diabetic encounters: patient-level validation, logistic regression vs random forest, Tableau extracts.

Analysed 10 years of diabetic patient hospital records using MySQL and Tableau to identify the primary risk factors driving 30-day readmissions, age, diagnosis type, and discharge disposition.

Healthcare Analytics project using MySQL and Power BI to identify factors driving hospital readmissions.

"SQL analysis of 30-day hospital readmission patterns using the UCI Diabetes 130-US Hospitals dataset (MySQL, joins, CTEs, window functions)"