?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=An+Accurate+Data+Preparation+Approach+for+the+Prediction+of+Mortality+in+ACLF+Patients+using+the+CANONIC+Dataset&rft.creator=Garcia%2C+MS&rft.creator=Agarwal%2C+B&rft.creator=Mookerjee%2C+RP&rft.creator=Jalan%2C+R&rft.creator=Doyle%2C+G&rft.creator=Ranco%2C+G&rft.creator=Arroyo%2C+V&rft.creator=Pavesi%2C+M&rft.creator=Garcia%2C+E&rft.creator=Saliba%2C+F&rft.creator=Banares%2C+R&rft.creator=Fernandez%2C+J&rft.description=The+incidence+of+chronic+liver+disease+has+increased+in+Europe+and+can+lead+to+Acute+on+Chronic+Liver+Failure+(ACLF)+which+is+associated+with+high+levels+of+mortality+due+to+multisystem+organ+failure.+The+characteristics+of+the+ACLF+patients+can+change+very+rapidly+within+a+short+period+of+time.+Continuous+assessment+of+their+recovery+status+is+critical+for+clinicians+to+adjust+and+deliver+effective+treatment.+The+aim+of+this+paper+is+to+validate+the+usefulness+of+a+data+preparation+approach+by+combining+different+criteria+to+replace+missing+values%2C+balance+target-class+variables%2C+select+useful+patient+characteristics+and+optimise+hyperparameters+of+machine+learning+models+for+the+prediction+of+ACLF+associated+mortality+rates.+A+key+step+in+the+data+preparation+is+a+feature+selection+Mutual+Information+(MI)+based+multivariate+approach+to+build+smaller%2C+and+yet+equally+and+in+some+cases+more+informative%2C+subsets+of+patient+characteristics+than+those+frequently+proposed+for+the+prediction+of+mortality%2C+from+patients+with+ACLF+in+the+CANONIC+dataset.+The+usefulness+of+the+data+preparation+approach+proposed+to+predict+mortality+was+evaluated+by+training+the+XGBoost+and+Logistic+Regression+models+with+the+prepared+data.+Evaluations+of+the+models+trained+using+a+test+set+provided+evidence+of+an+overall+high+accuracy+in+the+prediction+of+the+mortality+rates+of+patients+for+days+after+their+diagnosis%2C+and+in+some+cases+even+higher+when+reduced+and+more+informative+subsets+of+patient+characteristics+were+found.&rft.publisher=IEEE&rft.date=2019-10-07&rft.type=Proceedings+paper&rft.language=eng&rft.source=+++++In%3A+++(Proceedings)+2019+41st+Annual+International+Conference+of+the+IEEE+Engineering+in+Medicine+and+Biology+Society+(EMBC).+(pp.+pp.+1371-1377).++IEEE%3A+Berlin%2C+Germany.+(2019)+++++&rft.format=text&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10091486%2F2%2FJalan_root.pdf&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10091486%2F&rft.rights=open