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Briefing
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- AI-Enabled Diagnosis – IBM Research, Sutter Health, and Geisinger Health System training machine learning models to extract information from health electronic health records and doctor's notes and predict heart failure
- Earlier Discovery – Can enable earlier heart failure diagnosis, potentially one to two years in advance, compared to typical assessment procedures where patients are usually diagnosed after hospitalization and when organ already experienced irreversible and progressive damage
- Model Training – Learning from electronic health records of 10,000 people as well as unstructured data from doctor’s notes
- Heart Failure Statistics – Heart failure rates expected to increase 46% by 2030, with half dying within five years of diagnosis
- NIH grant – Funded with $2 million research grant from National Institutes of Health
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Accelerator
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Sector
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Healthcare/Health Sciences, Information Technology
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Organization
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Geisinger Health System, IBM Research Inc., Sutter Health
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Source
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Original Publication Date
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April 5, 2017
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