Multimodal Machine Learning for 30-Days Post-Operative Mortality Prediction of Elderly Hip Fracture Patients

Autor: Yenidogan, Berk, Pathak, Shreyasi, Geerdink, Jeroen, Hegeman, Johannes H., Van Keulen, Maurice, Xue, Bing, Pechenizkiy, Mykola, Koh, Yun Sing

Publikováno v: Proceedings-21st IEEE International Conference on Data Mining Workshops, ICDMW 2021, 508-516
STARTPAGE=508;ENDPAGE=516;TITLE=Proceedings-21st IEEE International Conference on Data Mining Workshops, ICDMW 2021

Hip fractures in the elderly are a major health care problem in the society. In the clinic, it is important for medical specialists to identify high-risk patients to assist them in the decision-making process in choosing the right treatment. In this

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ebaa61e53e7812ca6e2a9a0df47c739
https://doi.org/10.1109/icdmw53433.2021.00068