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1
Introduction
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Opportunities and Challenges
3
Challenges
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General philosophy
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Probabilistic model
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Asthma and allergy
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Three models
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Implications for personalization
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Introductions
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Invasive Mechanical Ventilation
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Optimal Policy
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Optimal Policy Example
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Frameworks
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Lab Test Ordering
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Vectorvalued Reward Function
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Reward Function Selection
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Conclusion
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Next Steps
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Project Talia
Description:
Explore the opportunities, challenges, and insights of machine learning in personalized healthcare through this special ECE seminar featuring speakers from Microsoft Research Cambridge. Delve into the application of AI in healthcare, covering topics such as disease subtype discovery, stratified interventions, and tailored interaction sequences. Examine case studies in mental health, respiratory disease, and critical care settings to understand the practical implications of machine learning in healthcare delivery. Learn about probabilistic models for asthma and allergy management, optimal policies for invasive mechanical ventilation, and frameworks for lab test ordering. Gain valuable insights into the potential of AI to revolutionize healthcare while considering the inherent challenges in leveraging these technologies for actionable outcomes.

Machine Learning for Personalized Healthcare - Opportunities, Challenges and Insights

New York University (NYU)
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