Cite
Machine learning prediction of hospital patient need for post-acute care using an admission mobility measure is robust across patient diagnoses
MLA
Daniel L. Young, et al. “Machine Learning Prediction of Hospital Patient Need for Post-Acute Care Using an Admission Mobility Measure Is Robust across Patient Diagnoses.” Health Policy and Technology, Apr. 2023, p. 100754. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi...........73cabb2b45452d221d9104acf082c5bd&authtype=sso&custid=ns315887.
APA
Daniel L. Young, Rebecca Engels, Elizabeth Colantuoni, Lisa Aronson Friedman, & Erik H. Hoyer. (2023). Machine learning prediction of hospital patient need for post-acute care using an admission mobility measure is robust across patient diagnoses. Health Policy and Technology, 100754.
Chicago
Daniel L. Young, Rebecca Engels, Elizabeth Colantuoni, Lisa Aronson Friedman, and Erik H. Hoyer. 2023. “Machine Learning Prediction of Hospital Patient Need for Post-Acute Care Using an Admission Mobility Measure Is Robust across Patient Diagnoses.” Health Policy and Technology, April, 100754. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi...........73cabb2b45452d221d9104acf082c5bd&authtype=sso&custid=ns315887.