Timothy C Flynn, Murray F Brennan, E Christopher Ellison, Julie A Freischlag, Mark A Malangoni, Carlos A Pellegrini, Ajit K Sachdeva, Patricia L Turner, Andrew L Warshaw, Michael J Zinner
Blue Ribbon Committee I Review: Findings and Impact
Annals of surgery
contemporary era applications data mining machine learning permeated extensively medical research significantly contributing areas hiv studies reviewing 38 articles published past 15 years study presents roadmap based seven different aspects utilizing various machine learning techniques novice researchers experienced researchers seeking comprehend current state art area traditional regression modeling techniques commonly used researchers increasingly adopting advanced fully supervised machine learning deep learning techniques often outperform traditional methods predictive performance additionally study identifies nine new open research issues outlines possible future research plans enhance outcomes hiv infection risk research review expected insightful guide researchers illuminating current practices suggesting advancements field