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Development of methods for patient group stratification and tailored medical interventions
Published on Jul 18, 20161111 Views
Accurate and timely prediction of disease-related traits and identification of the strongest predictors of disease risks are critical for patients, health service providers, and healthcare industries.
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Chapter list
Development of methods for patient group stratification and tailored medical interventions00:00
Outline 00:15
Motivation and Objective - 100:21
Motivation and Objective - 200:41
Motivation and Objective - 301:45
Motivation and Objective - 401:56
Mixture-of-experts for high dimensional data - 102:49
Mixture-of-experts for high dimensional data - 203:35
Mixture-of-experts for high dimensional data - 303:52
Results - 308:33
Conclusions and future work11:10
Acknowledgements12:37
Mixture-of-experts for high dimensional data - 415:35
Results - 118:01
Prototype to test different machine learning methods18:25
Results - 220:30
Results - 420:48