Preoperative postoperative pulmonary complication probability prediction method based on sleep stage data

• Main Authors: HAO YANLI, SHE YINGJIA, ZHENG JIEWEN, HE MAOQING, LAN KE
• Format: Patent
• Language: Chinese; English
• Published: 10.03.2023
• Subjects: DIAGNOSIS; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; HUMAN NECESSITIES; HYGIENE; IDENTIFICATION; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; MEDICAL OR VETERINARY SCIENCE; PHYSICS; SURGERY

The invention belongs to the field of pulmonary complication prediction, and particularly relates to a pre-operative sleep stage data-based postoperative pulmonary complication probability prediction method, which comprises the following steps: acquiring a pre-operative physiological clinical feature data set of a predicted person, the pre-operative physiological clinical feature data set comprising a pre-operative physiological feature data set and a pre-operative clinical feature data set; the step of obtaining the preoperative clinical feature data set comprises the substeps that continuous physiological signals of a predicted person in the sleep stage are collected, and preoperative clinical feature data of the predicted person are extracted based on part of the continuous physiological signals; based on the physiological feature data set and the clinical feature data, a predicted lung postoperative complication probability is obtained through a prediction function; wherein theta is the complication proba