Random forest machine learning algorithm predicts virologic outcomes among HIV infected adults in Lausanne, Switzerland using electronically monitored combined antiretroviral treatment adherence

Susan Kamala Community pharmacy, School of pharmaceutical sciences, University of Geneva, University of Lausanne, Lausanne, Switzerland;b Community pharmacy, Department of ambulatory care & community medicine, University of Lausanne, Lausanne, Switzerland;c Department of Family Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA;d University of California Institute for Prediction Technology, University of California, Los Angeles, CA, USACorrespondence[email protected]
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John Uratac Department of Family Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA;d University of California Institute for Prediction Technology, University of California, Los Angeles, CA, USAView further author information

Matthias Cavassinie Infectious Disease Service, Lausanne university hospital, University of Lausanne, Lausanne, SwitzerlandView further author information

Honghu Liuf Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA;g Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, CA, USA;h Department of Medicine, Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, CA, USAView further author information

Roger Kouyosi Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, SwitzerlandView further author information

Olivier Bugnona Community pharmacy, School of pharmaceutical sciences, University of Geneva, University of Lausanne, Lausanne, Switzerland;b Community pharmacy, Department of ambulatory care & community medicine, University of Lausanne, Lausanne, SwitzerlandView further author information

Wei Wangd University of California Institute for Prediction Technology, University of California, Los Angeles, CA, USA;j Department of Computer Science, University of California, Los Angeles, CA, USAView further author information

Marie-Paule Schneidera Community pharmacy, School of pharmaceutical sciences, University of Geneva, University of Lausanne, Lausanne, Switzerland;b Community pharmacy, Department of ambulatory care & community medicine, University of Lausanne, Lausanne, SwitzerlandView further author information

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Random forest machine learning algorithm predicts virologic outcomes among HIV infected adults in Lausanne, Switzerland using electronically monitored combined antiretroviral treatment adherence

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Random forest machine learning algorithm predicts virologic outcomes among HIV infected adults in Lausanne, Switzerland using electronically monitored combined antiretroviral treatment adherence

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