Predicting conversion of ambulatory ACDF patients to inpatient: a machine learning approach

Machine learning is a powerful tool that has become increasingly important in the orthopedic field. Recently, several studies have reported that predictive models could provide new insights into patient risk factors and outcomes. Anterior cervical discectomy and fusion (ACDF) is a common operation that is performed as an outpatient procedure. However, some patients are required to convert to inpatient status and prolonged hospitalization due to their condition. Appropriate patient selection and identification of risk factors for conversion could provide benefits to patients and the use of medical resources.

Source: The Spine Journal - November 17, 2023 Category: Orthopaedics Authors: Lukas Sch önnagel, Soji Tani, Tu-Lan Vu-Han, Jiaqi Zhu, Gaston Camino-Willhuber, Yusuke Dodo, Thomas Caffard, Erika Chiapparelli, Lisa Oezel, Jennifer Shue, William D. Zelenty, Darren R. Lebl, Frank P. Cammisa, Federico P. Girardi, Gbolabo Sokunbi, Alexa Source Type: research