Integrating Machine Learning With Microsimulation to Classify Hypothetical, Novel Patients for Predicting Pregabalin Treatment Response Based on Observational and Randomized Data in Patients With Painful Diabetic Peripheral Neuropathy

PURPOSE: Variability in patient treatment responses can be a barrier to effective care. Utilization of available patient databases may improve the prediction of treatment responses. We evaluated machine learning methods to predict novel, individual patient responses to pregabalin for painful diabeti...

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Detalles Bibliográficos
Autores principales: Alexander Jr, Joe, Edwards, Roger A, Manca, Luigi, Grugni, Roberto, Bonfanti, Gianluca, Emir, Birol, Whalen, Ed, Watt, Steve, Brodsky, Marina, Parsons, Bruce
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2019
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6827520/
https://www.ncbi.nlm.nih.gov/pubmed/31802967
http://dx.doi.org/10.2147/POR.S214412

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6827520/
https://www.ncbi.nlm.nih.gov/pubmed/31802967
http://dx.doi.org/10.2147/POR.S214412

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