Examines data mining perspectives and methods in a healthcare context. Introduces the theoretical foundations for major data mining methods and studies how to select and use the appropriate data mining method and the major advantages for each. Students are exposed to contemporary data mining software applications and basic programming skills. Focuses on solving real-world problems, which require data cleaning, data transformation, and data modeling.
Machine Learning for Healthcare Professionals
Machine Learning for Healthcare Professionals
Instructor: Paul Cerrato
Access provided by PSGR Krishnammal College for Women
Gain insight into a topic and learn the fundamentals.
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
- Data Mining
- Machine Learning
- Home Health Care
- Acute Care
- Business Process Improvement
- AI Integrations
- Correlation Analysis
- Applied Machine Learning
- Data Quality
- Analytics
- Health Informatics
- Health Technology
- Health Care
- Responsible AI
- Emerging Technologies
- Data Analysis
- Machine Learning Algorithms
- Artificial Intelligence
- Artificial Intelligence and Machine Learning (AI/ML)
- Data Preprocessing
Details to know
Shareable certificate
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Assessments
17 assignments
Taught in English
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There are 4 modules in this course
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