Susan Kamal
Dados Biográficos
| ID | 6778460 |
|---|---|
| NOME | Susan Kamal |
| PRENOMES | Susan |
| SOBRENOME | Kamal |
| ASSINATURA | KAMAL S |
| AFILIAÇÕES | Polyclinic Medical University |
| ORCID | 0000-0001-9114-5667 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2015 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2021 |
| ÍNDICE H | 0 |
Random forest machine learning algorithm predicts virologic outcomes among HIV infected adults in Lausanne, Switzerland using electronically monitored combined antiretroviral treatment adherence
Machine Learning (ML) can improve the analysis of complex and interrelated factors that place adherent people at risk of viral rebound. Our aim was to build ML model to predict RNA viral rebound from medication adherence and clinical data. Patients were followed up at the Swiss interprofessional medication adherence program (IMAP). Sociodemographic and clinical variables were retrieved from the Swiss HIV Cohort Study (SHCS). Daily electronic medi…
Medication Adherence Programme at PMU Lausanne - A case study on People Centred and Integrated Health-Care Services (PCIHCS) Approach / Programa de Adhesión a Medicamentos al PMU Lausanne - Un estudio…
Introduction: Despite many achievements in the past decade, health care systems in Europe are facing some challenges because of the epidemiological, demographic and economic transition in particular the burden of an aging population, which dictates a greater demand for care due to multiple co-morbidities and long term continuous care. This leads to concerns about the rising healthcare costs and cost-efficiency of the provided health services. On …
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Medication Adherence Programme at PMU Lausanne - A case study on People Centred and Integrated Health-Care Services (PCIHCS) Approach / Programa de Adhesión a Medicamentos al PMU Lausanne - Un estudio…
Introduction: Despite many achievements in the past decade, health care systems in Europe are facing some challenges because of the epidemiological, demographic and economic transition in particular the burden of an aging population, which dictates a greater demand for care due to multiple co-morbidities and long term continuous care. This leads to concerns about the rising healthcare costs and cost-efficiency of the provided health services. On …
Random forest machine learning algorithm predicts virologic outcomes among HIV infected adults in Lausanne, Switzerland using electronically monitored combined antiretroviral treatment adherence
Machine Learning (ML) can improve the analysis of complex and interrelated factors that place adherent people at risk of viral rebound. Our aim was to build ML model to predict RNA viral rebound from medication adherence and clinical data. Patients were followed up at the Swiss interprofessional medication adherence program (IMAP). Sociodemographic and clinical variables were retrieved from the Swiss HIV Cohort Study (SHCS). Daily electronic medi…
Medicine (2 obras) · Algorithm (1 obras) · Ambulatory care (1 obras) · Antiretroviral therapy (1 obras) · Artificial Intelligence (1 obras) · Business (1 obras) · Chronic Disease Management Strategies (1 obras) · Cohort (1 obras) · Cohort study (1 obras) · Computer Science (1 obras)