Leroy Hood – Future of Medicine
Predictive Medicine
Leroy Hood, Genomics pioneer and founder of the Institute for Systems Biology, Leroy Hood describes our medical future and challenges us to be ready for predictive, personalized, preventative, and participatory wellness.
New Algorithm Uses Patient Data To Predict Future Health Conditions
Researchers have developed a new algorithm that uses patient data to make predictions about an individual’s future health conditions, according to a paper published in the Annals of Applied Statistics, Popular Science reports.
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How It Works
Massachusetts Institute of Technology and Columbia University researchers took data from a multiyear clinical drug trial involving tens of thousands of patients age 40 and older. Patient information includes gender, ethnicity, medical histories and prescriptions (Boyle, Popular Science, 6/5).They then used the Hierarchical Association Rule Model to predict future medical conditions based on combined data on various conditions from the larger patient pool.
Source: ihealthbeat.org
BAYESIAN HIERARCHICAL RULE MODELING FOR PREDICTING MEDICAL CONDITIONS
By Tyler H. McCormick, Cynthia Rudiny and David Madiganz
University of Washington, Massachusetts Institute of Technology
and Columbia University
We propose a statistical modeling technique, called the Hierar-chical Association Rule Model (HARM), that predicts a patient’s possible future medical conditions given the patient’s current and past history of reported conditions. The core of our technique is a Bayesian hierarchical model for selecting predictive association rules (such as \condition 1 and condition 2 ! condition 3 “) from a large set of candidate rules. Because this method \borrows strength” using the conditions of many similar patients, it is able to provide predictions specialized to any given patient, even when little information about the patient’s history of conditions is available. Access Paper: .PDF
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