Historical visit attendance as predictor of treatment interruption in South African HIV patients: Extension of a validated machine learning model.

Autor: Esra RT; Institute of Global Health, University of Geneva, Geneva, Switzerland.; Imperial College of London, London, United Kingdom., Carstens J; Palindrome Data, Cape Town, South Africa., Estill J; Institute of Global Health, University of Geneva, Geneva, Switzerland., Stoch R; Studio Fundi Ltd, London, United Kingdom., Le Roux S; The Aurum Institute, Johannesburg, South Africa., Mabuto T; The Aurum Institute, Johannesburg, South Africa., Eisenstein M; The Aurum Institute, Johannesburg, South Africa., Keiser O; Institute of Global Health, University of Geneva, Geneva, Switzerland., Maskew M; Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa., Fox MP; Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.; Departments of Epidemiology and Global Health, Boston University School of Public Health, Boston, Massachusetts, United States of America., De Voux L; Palindrome Data, Cape Town, South Africa., Sharpey-Schafer K; Palindrome Data, Cape Town, South Africa.

Publikováno v: PLOS global public health [PLOS Glob Public Health] 2023 Jul 19; Vol. 3 (7), pp. e0002105. Date of Electronic Publication: 2023 Jul 19 (Print Publication: 2023).

Applying machine learning and predictive modeling to retention and viral suppression in South African HIV treatment cohorts.

Autor: Maskew M; Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, 39 Empire Road, Parktown, Johannesburg, South Africa. mmaskew@heroza.org., Sharpey-Schafer K; Palindrome Data, Cape Town, South Africa., De Voux L; Palindrome Data, Cape Town, South Africa., Crompton T; Right to Care, Johannesburg, South Africa., Bor J; Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, 39 Empire Road, Parktown, Johannesburg, South Africa.; Department of Global Health, Boston University School of Public Health, Boston University, Boston, USA.; Department of Epidemiology, Boston University School of Public Health, Boston University, Boston, USA., Rennick M; Right to Care, Johannesburg, South Africa., Chirowodza A; Right to Care, Johannesburg, South Africa., Miot J; Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, 39 Empire Road, Parktown, Johannesburg, South Africa., Molefi S; Right to Care, Johannesburg, South Africa., Onaga C; Right to Care, Johannesburg, South Africa., Majuba P; Right to Care, Johannesburg, South Africa., Sanne I; Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, 39 Empire Road, Parktown, Johannesburg, South Africa.; Right to Care, Johannesburg, South Africa., Pisa P; Right to Care, Johannesburg, South Africa.; Department of Human Nutrition and Dietetics, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.

Publikováno v: Scientific reports [Sci Rep] 2022 Jul 26; Vol. 12 (1), pp. 12715. Date of Electronic Publication: 2022 Jul 26.

Development and validation of a prediction tool to support engagement in HIV care among young people ages 10–24 years in Kenya.

Autor: Wilson, Kate¹ (AUTHOR) ksw@uw.edu, Agot, Kawango² (AUTHOR), Dyer, Jessica¹ (AUTHOR), Badia, Jacinta² (AUTHOR), Kibugi, James² (AUTHOR), Bosire, Risper² (AUTHOR), Neary, Jillian³ (AUTHOR), Inwani, Irene⁴ (AUTHOR), Beima-Sofie, Kristin¹ (AUTHOR), Shah, Seema⁵ (AUTHOR), Chakhtoura, Nahida⁶ (AUTHOR), John-Stewart, Grace^1,3,7,8 (AUTHOR), Kohler, Pamela^1,9 (AUTHOR)

Publikováno v: PLoS ONE. 6/30/2023, Vol. 17 Issue 6, p1-17. 17p.

Machine learning to predict virological failure among HIV patients on antiretroviral therapy in the University of Gondar Comprehensive and Specialized Hospital, in Amhara Region, Ethiopia, 2022.

Autor: Mamo, Daniel Niguse¹ (AUTHOR) danielniguse1@gmail.com, Yilma, Tesfahun Melese² (AUTHOR), Fekadie, Makida² (AUTHOR), Sebastian, Yakub³ (AUTHOR), Bizuayehu, Tilahun⁴ (AUTHOR), Melaku, Mequannent Sharew² (AUTHOR), Walle, Agmasie Damtew⁵ (AUTHOR)

Publikováno v: BMC Medical Informatics & Decision Making. 4/21/2023, Vol. 23 Issue 1, p1-20. 20p.

The revolving door of HIV care: Revising the service delivery cascade to achieve the UNAIDS 95-95-95 goals.

Autor: Ehrenkranz, Peter¹ (AUTHOR) peter.ehrenkranz@gatesfoundation.org, Rosen, Sydney^2,3 (AUTHOR), Boulle, Andrew⁴ (AUTHOR), Eaton, Jeffrey W.⁵ (AUTHOR), Ford, Nathan^6,7 (AUTHOR), Fox, Matthew P.^2,3,8 (AUTHOR), Grimsrud, Anna⁹ (AUTHOR), Rice, Brian D.¹⁰ (AUTHOR), Sikazwe, Izukanji¹¹ (AUTHOR), Holmes, Charles B.¹² (AUTHOR)

Publikováno v: PLoS Medicine. 5/24/2021, Vol. 18 Issue 5, p1-10. 10p. 1 Diagram, 2 Charts.