BACKGROUND:　Placental　growth　factor　(PlGF),　one　of　the　biomarkers,　has　a　certain　predictive　effect　on　hypertensive　disorders　in　pregnancy　(HDP).　OBJECTIVE:　To　study　the　HDP　prediction　effect　of　different　methods　for　variable　selection　and　modeling　for　models　containing　PlGF.　METHODS:　For　the　model　containing　PlGF,　the　appropriate　range　of　PlGF　parameters　needed　to　be　selected.　Step-logistic　regression　and　lasso　were　used　to　compare　the　model　effect　of　twice　range　selection.　The　PlGF　model　with　good　predictive　effect　and　appropriate　detecting　gestational　age　was　selected　for　the　final　prediction.　RESULTS:　The　effect　of　the　model　containing　PlGF　tested　at　15-16　weeks　was　better　than　the　PlGF　value　without　comprehensive　screening.　The　sensitivity　of　both　methods　was　over　92%.　By　comprehensive　comparison,　the　final　model　of　lasso　method　in　this　study　was　more　effective.　CONCLUSIONS:　In　this　study,　a　variety　of　methods　were　used　to　screen　models　containing　PlGF　parameters.　According　to　clinical　needs　and　model　effects,　the　optimal　HDP　prediction　model　with　PlGF　parameters　in　the　second　trimester　of　15-26　weeks　of　pregnancy　was　finally　selected.