Open AccessMachine Learning for Social Services: A Study of Prenatal Case Management in Illinois
Author(s) -
Ian Pan,
Laura Nolan,
Rashida Brown,
Romana Khan,
Paul van der Boor,
Daniel G. Harris,
Rayid Ghani
Publication year - 2017
Publication title -
american journal of public health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.284
H-Index - 264
eISSN - 1541-0048
pISSN - 0090-0036
DOI - 10.2105/ajph.2017.303711
Subject(s) - psychological intervention , machine learning , metric (unit) , artificial intelligence , government (linguistics) , risk assessment , computer science , medicine , operations management , nursing , engineering , computer security , linguistics , philosophy
To evaluate the positive predictive value of machine learning algorithms for early assessment of adverse birth risk among pregnant women as a means of improving the allocation of social services.