Open Access
Machine Learning Approach for Predicting Past Environmental Exposures From Molecular Profiling of Post-Exposure Human Serum Samples
Author(s) -
Atif Ali Khan,
Thomas H. Thatcher,
Collynn F. Woeller,
Patricia J. Sime,
Richard P. Phipps,
Philip K. Hopke,
Mark J. Utell,
P Krahl,
Timothy M. Mallon,
Juilee Thakar
Publication year - 2019
Publication title -
journal of occupational and environmental medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.712
H-Index - 110
eISSN - 1536-5948
pISSN - 1076-2752
DOI - 10.1097/jom.0000000000001692
Subject(s) - cotinine , profiling (computer programming) , medicine , tobacco smoke , retrospective cohort study , pipeline (software) , computational biology , nicotine , machine learning , artificial intelligence , computer science , environmental health , biology , operating system , programming language