MACHINE LEARNING & AI: A HIMSS EVENT

LAS VEGAS, NV - MARCH 5, 2018

HIMSS18 Annual Conference
Wynn Las Vegas
Mar. 5, 2018

How They're Different — and Why IT Matters

March 5, 2018
3:45pm - 4:10pm
Lafleur

Machine Learning for healthcare differs significantly from other application domains in terms of the use cases, data resources, operational constraints and evaluation metrics. Despite these differences, the majority of existing machine learning solutions for healthcare applications remain grounded in conventional methodologies that are re-purposed from unrelated application domains.

This session addresses the specific characteristics unique to healthcare that distinguish it from other application domains and creates the need for specialized solutions. It will also discuss the requirements created by these characteristics and how healthcare-focused machine learning technologies should meet these requirements to maximize practical impact.

Key discussion points:

  • Limitations of conventional machine learning for healthcare.
  • Requirements of machine learning in healthcare.
  • Opportunities for substantial gains enabled by healthcare-specialization of machine learning.

Speakers

Zeeshan Syed

Director of the Clinical Inference and Algorithms Program
Stanford Health Care

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