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Profile for a patient in the test dataset, showing the comp..:
Yufeng Zhang
;
Keith D. Aaronson
;
Jonathan Gryak
...
doi:10.1371/journal.pone.0295016.g004. , 2023
Link:
https://doi.org/10.1371/journal.pone.0295016.g004
RT Journal T1
Profile for a patient in the test dataset, showing the composite rules that fired
UL https://suche.suub.uni-bremen.de/peid=base-ftdeakinunifig:oai:figshare.com:article_24652093&Exemplar=1&LAN=DE A1 Yufeng Zhang A1 Keith D. Aaronson A1 Jonathan Gryak A1 Emily Wittrup A1 Cristian Minoccheri A1 Jessica R. Golbus A1 Kayvan Najarian YR 2023 K1 Medicine K1 Biotechnology K1 Cancer K1 Science Policy K1 Infectious Diseases K1 Biological Sciences not elsewhere classified K1 Mathematical Sciences not elsewhere classified K1 Information Systems not elsewhere classified K1 risk factors identified K1 machine learning methods K1 inferred membership functions K1 extracted decision rules K1 ensuring optimal outcomes K1 2013 &# 8211 K1 interpretable clinical decision K1 continuous clinical variables K1 validated using data K1 receiver operating curve K1 heart failure patients K1 067 ) K1 respectively K1 proposed model initialized K1 interpretable tropical geometry K1 080 ) K1 0 K1 tropical geometry K1 clinical knowledge K1 use data K1 recall curve K1 300 patients K1 xlink "> K1 successfully predict K1 subsequent hospitalization K1 standard deviation K1 single hospitalization K1 results demonstrate K1 prospectively validate K1 making system K1 increased interpretability K1 generating transparent K1 f1 scores K1 f1 score K1 advanced therapies JF doi:10.1371/journal.pone.0295016.g004 LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0295016.g004 DO https://doi.org/10.1371/journal.pone.0295016.g004 SF ELIB - SuUB Bremen
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