Explore a 20-minute conference talk from Data Science Conference Europe 2022 that delves into machine learning applications in healthcare through Saudi Arabian hospital case studies. Learn how patient treatment data drives predictive outcomes, focusing on feature identification and algorithm selection. Discover practical implementations of logistic regression, Support Vector Machines (SVM), and random forests in successfully deployed healthcare models. Through a detailed examination of breast cancer classification, understand the critical aspects of feature relationships, data normalization, and model training processes that contribute to satisfactory predictive results in real-world medical settings.
Machine Learning Applications in Healthcare - Saudi Arabian Hospital Case Studies
Data Science Conference via YouTube
Overview
Syllabus
Introduction
Applications of ML in healthcare
Logistic Regression
First case
Breast cancer classification
Features
Relationship between features
Training data
Train model
Data normalization
Conclusion
Taught by
Data Science Conference
