Literature DB >> 31697379

Machine Learning for Human Immunodeficiency Virus Prevention in Rural Africa: The SEARCH for Sustainability.

Douglas S Krakower1,2,3, Julia L Marcus2,3.   

Abstract

Keywords:  HIV; machine learning; prediction model; preexposure prophylaxis; prevention

Year:  2020        PMID： 31697379      PMCID： PMC7713679          DOI： 10.1093/cid/ciz1101

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN： 1058-4838            Impact factor:   9.079


× No keyword cloud information.
  14 in total

1.  Evaluating Discrimination of Risk Prediction Models: The C Statistic.

Authors:  Michael J Pencina; Ralph B D'Agostino
Journal:  JAMA       Date:  2015-09-08       Impact factor: 56.272

2.  Preexposure Prophylaxis for the Prevention of HIV Infection: US Preventive Services Task Force Recommendation Statement.

Authors:  Douglas K Owens; Karina W Davidson; Alex H Krist; Michael J Barry; Michael Cabana; Aaron B Caughey; Susan J Curry; Chyke A Doubeni; John W Epling; Martha Kubik; C Seth Landefeld; Carol M Mangione; Lori Pbert; Michael Silverstein; Melissa A Simon; Chien-Wen Tseng; John B Wong
Journal:  JAMA       Date:  2019-06-11       Impact factor: 56.272

3.  Use of electronic health record data and machine learning to identify candidates for HIV pre-exposure prophylaxis: a modelling study.

Authors:  Julia L Marcus; Leo B Hurley; Douglas S Krakower; Stacey Alexeeff; Michael J Silverberg; Jonathan E Volk
Journal:  Lancet HIV       Date:  2019-07-05       Impact factor: 12.767

4.  Development and validation of an automated HIV prediction algorithm to identify candidates for pre-exposure prophylaxis: a modelling study.

Authors:  Douglas S Krakower; Susan Gruber; Katherine Hsu; John T Menchaca; Judith C Maro; Benjamin A Kruskal; Ira B Wilson; Kenneth H Mayer; Michael Klompas
Journal:  Lancet HIV       Date:  2019-07-05       Impact factor: 12.767

5.  A Risk Assessment Tool for Identifying Pregnant and Postpartum Women Who May Benefit From Preexposure Prophylaxis.

Authors:  Jillian Pintye; Alison L Drake; John Kinuthia; Jennifer A Unger; Daniel Matemo; Renee A Heffron; Ruanne V Barnabas; Pamela Kohler; R Scott McClelland; Grace John-Stewart
Journal:  Clin Infect Dis       Date:  2017-03-15       Impact factor: 9.079

6.  An Empiric Risk Score to Guide PrEP Targeting Among MSM in Coastal Kenya.

Authors:  Elizabeth Wahome; Alexander N Thiong'o; Grace Mwashigadi; Oscar Chirro; Khamisi Mohamed; Evans Gichuru; John Mwambi; Matt A Price; Susan M Graham; Eduard J Sanders
Journal:  AIDS Behav       Date:  2018-07

7.  An empiric risk scoring tool for identifying high-risk heterosexual HIV-1-serodiscordant couples for targeted HIV-1 prevention.

Authors:  Erin M Kahle; James P Hughes; Jairam R Lingappa; Grace John-Stewart; Connie Celum; Edith Nakku-Joloba; Stella Njuguna; Nelly Mugo; Elizabeth Bukusi; Rachel Manongi; Jared M Baeten
Journal:  J Acquir Immune Defic Syndr       Date:  2013-03-01       Impact factor: 3.731

8.  Early Adopters of Human Immunodeficiency Virus Preexposure Prophylaxis in a Population-based Combination Prevention Study in Rural Kenya and Uganda.

Authors:  Catherine A Koss; James Ayieko; Florence Mwangwa; Asiphas Owaraganise; Dalsone Kwarisiima; Laura B Balzer; Albert Plenty; Norton Sang; Jane Kabami; Theodore D Ruel; Douglas Black; Carol S Camlin; Craig R Cohen; Elizabeth A Bukusi; Tamara D Clark; Edwin D Charlebois; Maya L Petersen; Moses R Kamya; Diane V Havlir
Journal:  Clin Infect Dis       Date:  2018-11-28       Impact factor: 9.079

9.  Machine Learning to Identify Persons at High-Risk of Human Immunodeficiency Virus Acquisition in Rural Kenya and Uganda.

Authors:  Laura B Balzer; Diane V Havlir; Moses R Kamya; Gabriel Chamie; Edwin D Charlebois; Tamara D Clark; Catherine A Koss; Dalsone Kwarisiima; James Ayieko; Norton Sang; Jane Kabami; Mucunguzi Atukunda; Vivek Jain; Carol S Camlin; Craig R Cohen; Elizabeth A Bukusi; Mark Van Der Laan; Maya L Petersen
Journal:  Clin Infect Dis       Date:  2020-12-03       Impact factor: 20.999

10.  Why the C-statistic is not informative to evaluate early warning scores and what metrics to use.

Authors:  Santiago Romero-Brufau; Jeanne M Huddleston; Gabriel J Escobar; Mark Liebow
Journal:  Crit Care       Date:  2015-08-13       Impact factor: 9.097
View more
  1 in total

1.  Application of machine learning algorithms for localized syringe services program policy implementation - Florida, 2017.

Authors:  Tyler S Bartholomew; Hansel E Tookes; Emma C Spencer; Daniel J Feaster
Journal:  Ann Med       Date:  2022-12       Impact factor: 5.348
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.