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1
Introduction
2
Applications of ML in healthcare
3
Logistic Regression
4
First case
5
Breast cancer classification
6
Features
7
Relationship between features
8
Training data
9
Train model
10
Data normalization
11
Conclusion
Description:
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
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