Machine learning addresses non-linear relations and very complex relations that are depicted in data and are beyond the capacity of standard scoring models or formulas. Thus, in the medical world it could improve thousands of hypothesis-driven studies. Machine learning in healthcare offers the advantages of personalized, predictive and proactive outreach to patients at risk, and consequently leads to better treatment methods. It can create a recommendation based on a complex combination of a particular person’s health condition, medical history, lab results, resident country, race, sex, and age.
There is a new opportunity on the table to revolutionize healthcare, based on two innovations that have evolved over the last two decades:
For more information, we recommend reading “Machine Learning and the Profession of Medicine” in the Journal of the American Medical Association
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