?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Feature+Selection+To+Facilitate+Surgical+Planning+From+MRI+Of+Placenta+Accreta+Spectrum+Disorder&rft.creator=Chappell%2C+Joanna&rft.creator=Mufti%2C+Nada&rft.creator=Irzan%2C+Hassna&rft.creator=O'Brien%2C+Pat&rft.creator=Attilakos%2C+George&rft.creator=Sokolska%2C+M&rft.creator=Narayanan%2C+P&rft.creator=Gaunt%2C+Trevor&rft.creator=Humpheries%2C+Paul&rft.creator=Patel%2C+Premal&rft.creator=Whitby%2C+Elspeth&rft.creator=Jauniaux%2C+Eric&rft.creator=Hutchinson%2C+J+Ciaran&rft.creator=Sebire%2C+Neil&rft.creator=Atkinson%2C+David&rft.creator=Kendall%2C+Giles&rft.creator=Ourselin%2C+S&rft.creator=Vercauteren%2C+T&rft.creator=David%2C+Anna&rft.creator=Melbourne%2C+Andrew&rft.description=Feature+Selection+Models+provide+a+ranking+of+pathological+MRI+markers+able+to+predict+the+outcome+of+Placenta+Accreta+Spectrum+Disorder%2C+which+could+be+used+to+aid+in+clinical+decision-making+and+improve+maternal+outcome.+The+potential+being+to+reduce+the+workload+of+radiologists+by+establishing+the+most+clinically+relevant+pathological+MRI+markers+that+predict+outcome.+Our+results+found+three+pathological+markers+to+have+the+highest+ranking+to+the+outcomes+with+an+average+accuracy+of+75%25+using+a+Random+Forest+Selection+Model+and+Boruta+algorithm.&rft.publisher=International+Society+for+Magnetic+Resonance+in+Medicine&rft.date=2023&rft.type=Proceedings+paper&rft.language=eng&rft.source=+++++In%3A++Proceedings+of+the+2023+ISMRM+%26+ISMRT+Annual+Meeting+%26+Exhibition.++(pp.+pp.+1-6).++International+Society+for+Magnetic+Resonance+in+Medicine+(2023)+++++&rft.format=text&rft.identifier=https%3A%2F%2Fdiscovery-pp.ucl.ac.uk%2Fid%2Feprint%2F10175719%2F2%2FDavid_Feature%2520Selection%2520To%2520Facilitate%2520Surgical%2520Planning%2520From%2520MRI%2520Of%2520Placenta%2520Accreta%2520Spectrum%2520Disorder_AAM.pdf&rft.identifier=https%3A%2F%2Fdiscovery-pp.ucl.ac.uk%2Fid%2Feprint%2F10175719%2F&rft.rights=open