courseraЗдоровье

AI Integration in Healthcare

Курс от University of Colorado System

Начальный≈ 8.7 чАнглийский

О курсе

This course covers essential AI concepts in healthcare, starting with key algorithms and their role in decision-making. Learners will explore the craft of AI modeling, from data preparation to evaluation, and examine different model-based algorithms, based on the learning process, such as supervised, unsupervised, and reinforced learning algorithms.

Навыки, которые вы освоите

Predictive Modeling AI Integrations Supervised Learning Machine Learning Algorithms Human Factors (Security)Diagnostic Tests Model Training Data Cleansing Responsible AI Model Evaluation Machine Learning Reinforcement Learning

Программа курса

4 модулей · 26 учебных материалов

01Learning Relevant AI Algorithms in Healthcare7 материалов

AI: The Shift to Learning Driven SystemsВидео Learning-Centric AI in HealthcareВидео Four Main Categories of Machine Learning AlgorithmsВидео Classification and Regression in Supervised Learning AlgorithmsВидео Types of Supervised Learning Algorithms

Учитесь у экспертов

Jiban Khuntia

Associate Professor • Director of Health Administration Research Consortium