🧪Yet Another ICU Benchmark: a holistic framework for the standardization of clinical prediction model experiments. Provide custom datasets, cohorts, prediction tasks, endpoints, preprocessing, and models. Paper: https://arxiv.org/abs/2306.05109

Repository for the Paper: „On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series“

Ethical approach to mental health screening using privacy-preserving machine learning for clinical decision support

End-to-end ML demo for clinical risk scoring on synthetic tabular patient data (data → features → models → metrics → FastAPI /predict).

Hypertension Risk Stratification Using Machine Learning: Lift-Based Evaluation on SAS® Viya With the Framingham Heart Study

A research-focused multimodal machine learning framework for clinical outcome prediction, integrating medical imaging and tabular clinical features with reproducible training and explainable AI components.

Clinical ML early sepsis risk: pipelines, conformal early-warning, capacity-aware triage, FastAPI serving.

CardioRiskAI is a machine learning–based clinical intelligence system for classifying myocardial infarction outcomes using structured patient data. It applies domain-aware preprocessing, class imbalance handling, and metric-driven model selection to support risk stratification and outcome awareness in healthcare settings.