What Makes Healthcare Data Science so Hard & Interesting - Data Science Pop-up Seattle
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David Talby discusses the complexities and challenges of healthcare data science, including issues of misdiagnosis and the need for explainability in algorithms. He emphasizes the contrast between algorithmic capabilities and human judgment, particularly in mental health predictions. The document also highlights the importance of continuously evaluating and adapting models in real-time to address the evolving nature of healthcare data.
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What Makes Healthcare Data Science so Hard & Interesting - Data Science Pop-up Seattle
- 1. #datapopupseattle What Makes Healthcare Data Science so Hard & Interesting David Talby SVP Engineering, Atigeo davidtalby antigeo
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