AKI Mortality
Risk Predictor
A clinical research tool combining four machine learning models to estimate in-hospital mortality risk for Acute Kidney Injury patients in intensive care units.
Research purposes only · Not for clinical decision-making
Four models. All above 86% AUC.
Each model was independently evaluated on a held-out 20% test set. The best model is selected automatically for predictions.
Built for clinical research
Every aspect of the system is designed with clinical accuracy, transparency, and reproducibility in mind.
Multi-Model Ensemble
Four independent ML algorithms — Logistic Regression, Random Forest, Gradient Boosting, and ANN — evaluated together for robust predictions.
Clinical Laboratory Values
Analyzes key biomarkers: Creatinine, WBC, Platelet count, Total Bilirubin, AST, INR, eGFR, APTT, BUN, and more.
Instant Risk Classification
Mortality probability and risk class (Low / Moderate / High) calculated in milliseconds from your patient values.
MICE Imputation
Missing clinical values handled automatically via MICEFOREST — 5-iteration multiple imputation trained exclusively on the training set.
Explainable AI
Feature importance via permutation analysis and Gini scores. Know which biomarker drives each prediction.
DEU Hospital Dataset
Trained on a real-world retrospective ICU cohort from Dokuz Eylül University Hospital — not synthetic data.
Rigorous end-to-end ML pipeline
From raw PostgreSQL data to production predictions — every step is reproducible, leakage-free, and validated on a stratified hold-out test set.
Read full methodologyTry the risk calculator
Enter five clinical laboratory values and receive an AI-generated mortality probability with risk classification in seconds.
Open CalculatorResearch use only · Not for clinical decision-making