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Exploring polypharmacy with artificial intelligence: data analysis protocol.

Caroline SiroisRichard KhouryAudrey DurandPierre-Luc DezielOlga BukhtiyarovaYohann ChiuDenis TalbotAlexandre BureauPhilippe DesprésChristian GagnéFrançois LavioletteAnne-Marie SavardJacques CorbeilThierry BadardSonia JeanMarc Simard
Published in: BMC medical informatics and decision making (2021)
The multi-disciplinary research team consists of specialists in AI, health data, statistics, pharmacy, public health, law, and ethics, which will allow investigation of polypharmacy from different points of view and will contribute to a deeper understanding of the clinical, social, and ethical issues surrounding polypharmacy and its surveillance, as well as the use of AI for health record data. The project results will be disseminated to the scientific community, healthcare professionals, and public health decision-makers in peer-reviewed publications, scientific meetings, and reports. The diffusion of the results will ensure the confidentiality of individual data.
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