Personalized hypertension treatment recommendations by a data-driven model - BMC Medical Informatics and Decision Making

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New artificialintelligence program could help treat hypertension

If creatinine of 2 or greater, do not use ACEi or ARBs or Thiazide diuretics;If patient has systolic heart failure, should likely be on a Beta-Blocker.We developed ML models to predict optimal prescriptions for patients with hypertension. A prediction-based prescriptive model was developed to analyze outcomes under each possible medication. The goal is to find the treatment that minimizes future SBP based on the medical history of a group of similar patients.

The absolute values of coefficients form weights in measuring the distance between this patient and all the other patient visits that were under Thiazide diuretics. More specifically, we define a distance metric between two patients characterized by predictive variables$$\left| {\left| {\varvec{x} - \varvec{z}} \right|} \right|_{\varvec{\beta}}=\sqrt {\mathop \sum \limits_{i=1}^{p} ^{2} \beta_{i}^{2} } ,$$under Thiazide diuretics.

 

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