Machine Learning Framework to Predict Patient Non-Adherence to Medication using Non-Clinical Data: A Prognosis Approach
Author:
Affiliation:
1. Evangel University, Nigeria
2. Alex Ekwueme Federal University, Nigeria
3. Ebonyi State University, Nigeria
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3479162.3479177
Reference31 articles.
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2. Zullig Leah Blaclock Dan Dougherty Samantha Henderson Rochelle Ha Carolyn Oakes Megan and Bosworth “The new landscape of medication adherence improvement: where population health science meets precision medicine” Patient preference and adherence 2018: 12 1225-1230 Zullig Leah Blaclock Dan Dougherty Samantha Henderson Rochelle Ha Carolyn Oakes Megan and Bosworth “The new landscape of medication adherence improvement: where population health science meets precision medicine” Patient preference and adherence 2018: 12 1225-1230
3. Conrad Tucker Ishan Behoora Harriet B. Nembhard Mechelle Lewis Nicholas W. Sterling and Xuemei Huang -Machine learning cassifcation of medication adherence inpatients with movement disoders using non-wearable sensors. Comput Bio Med. 2015 .November 01: 66: 120-134. Conrad Tucker Ishan Behoora Harriet B. Nembhard Mechelle Lewis Nicholas W. Sterling and Xuemei Huang -Machine learning cassifcation of medication adherence inpatients with movement disoders using non-wearable sensors. Comput Bio Med. 2015 .November 01:66: 120-134.
4. Evaluation of knowledge, Attitude and Medication Adherence among Asthmatics Out-patients in Tertiary Care Teaching Hospital-A, Questionnaire Based Study;Shamkuwar Chetna A.;Journal of Young Pharmacists,2016
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