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This course introduces students to machine learning in healthcare
0
2
English
English [CC]
FREE
- Learn basic syntax that can apply to any language.
- Learn what is a programming language and the basic concepts for beginners.
- Understand what is Javascript in it's truest form.
- Know the basic syntax of Javascript.
- Know some hidden quirks in Javascript.
Description
including the nature of clinical data and the use of machine learning for risk stratification, disease progression modeling, precision medicine, diagnosis, subtype discovery, and improving clinical workflows.
Course content
- What Make Healthcare Unique ? Unlimited
- Overview Of Clinical Care Unlimited
- Deep Dive Into Clinical Data Unlimited
- Risk Stratification Part 1 Unlimited
- Risk Stratification Part 2 Unlimited
- Physiological Time-Series Unlimited
- Natural Language Processing (NLP), Part 1 Unlimited
- Natural Language Processing (NLP), Part 2 Unlimited
- Translating Technology Into The Clinic Unlimited
- Application of Machine Learning To Cardiac Imaging Unlimited
- Differential Diagnosis Unlimited
- Machine Learning For Pathologo Unlimited
- Machine Learning For Mammography Unlimited
- Causal Inference Part 1 Unlimited
- Causal Inference Part 2 Unlimited
- Reinforcement Learning Part 1 Unlimited
- Reinforcement Learning Part 2 Unlimited
- Disease Progression Modeling and Subtyping Part 1 Unlimited
- Disease Progression Modeling and Subtyping Part 2 Unlimited
- Precision Medicine Unlimited
- Automating Clinical Work Flows Unlimited
- Regulation of Machine Learning / Artifical Intelligence In The US Unlimited
- Fairness Unlimited
- Robustness To Dataset Shift Unlimited
- Interpretability Unlimited
Instructor
Massachusetts Institute of Technology
5
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1
1916
1520
