PickAClass · AI Applications (Interdisciplinary) · AI for Medicine & Diagnostics

Predictive Diagnostics & Risk Scoring

Develop machine learning models to predict disease onset, patient risk, and clinical outcomes using electronic health records (EHR), lab results, and other structured clinical data.

Predictive Diagnostics & Risk Scoring

Data Science and Machine Learning Project: Health Analysis with Python

AI for Medical Prognosis: Predicting Patient Outcomes

Machine Learning for Healthcare: A Foundational Guide

Feature Engineering with MATLAB for Predictive Modeling

Applied AI in Healthcare: Patient Journey Capstone Project

Outbreak Prediction and Data Analysis with Python

Time Series Forecasting and Survival Analysis Fundamentals

Machine Learning and Predictive Modeling with MATLAB

Clinical Reasoning Supervision for Healthcare Educators

AI and Machine Learning Strategy for Healthcare Leaders

Multivariate Time Series Forecasting for Healthcare Data

Practical Predictive Model Evaluation and Selection

Deep Learning for Clinical Decision Support

Foundations of Health Data Science and Medical Machine Learning

Mining Unstructured Medical Data: Healthcare Analytics Foundations

Predictive Analytics for Population Health Management

Clinical Data Mining and EHR Analysis with MIMIC-III

Explainable AI in Healthcare: Interpretable Deep Learning Models

Machine Learning for Healthcare: Fundamentals and Practical Applications

Clinic Roster Analysis: Solving Healthcare Scheduling Issues

Clinical Deep Learning: Building Decision Support Systems

Introduction to Clinical Decision Support Systems

Clinical Predictive Modeling for Healthcare Professionals

Data Science for Public Health and Pandemic Management