Predicting Treatment Interruption Among People Living With HIV in Nigeria: Machine Learning Approach
Predicting Treatment Interruption Among People Living With HIV in Nigeria: Machine Learning Approach
Matthew-David Ogbechie
1
* , BSc ;
Christa Fischer Walker
2
* , PhD ;
Mu-Tien Lee
3
, MSc ;
Amina Abba Gana
1
, MSc ;
Abimbola Oduola
1
, PhD ;
Augustine Idemudia
1
, MPH, MD ;
Matthew Edor
1
, BSc ;
Emily Lark Harris
4
, MA ;
Jessica Stephens
5
, MPH ;
Xiaoming Gao
3
, MSc ;
Pai-Lien Chen
3
, PhD ;
Navindra Etwaroo Persaud
2
* , MBBS, MPH, PhD
1
FHI 360, Abuja, Nigeria
2
FHI 360, Washington, DC, United States
3
FHI 360, Durham, NC, United States
4
United States Agency for International Development, Dar es Salaam, United Republic of Tanzania
5
United States Agency for International Development, Washington, DC, United States
*these authors contributed equally
Corresponding Author:
-
Navindra Etwaroo Persaud, MBBS, MPH, PhD
-
FHI 360
-
1825 Connecticut Ave NW
-
Washington, DC, 20009
-
United States
-
Phone:
1 2028848017
-
Email: npersaud@fhi360.org