?url_ver=Z39.88-2004&rft_id=10.1016%2Fj.jpsychires.2022.01.026&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.aulast=Ho&rft.au=Ho%2C+C.S.&rft.aufirst=C.S.&rft.title=Journal+of+Psychiatric+Research&rft.date=2022&rft.volume=147&rft.issn=00223956&rft.pages=194-202&rft.atitle=Improving+the+diagnostic+accuracy+for+major+depressive+disorder+using+machine+learning+algorithms+integrating+clinical+and+near-infrared+spectroscopy+data&rft.genre=article