Preoperative prediction of the need for arterial and central venous catheterization using machine learning techniques.

ABSTRACT: Some surgical patients require an arterial or central venous catheterization intraoperatively. This decision relied solely on the experience of individual anesthesiologists; however, these decisions are not easy for clinicians who are in an emergency or inexperienced. Therefore, applying recent artificial intelligence techniques to automatically extractable data from electronic medical record (EMR) could create a very clinically useful model in this situation. This study aimed to develop a model that is easy to apply in real clinical settings by implementing a prediction model for the preoperative decision to insert an arterial and central venous catheter and that can be automatically linked to the EMR. We collected and retrospectively analyzed data from 66,522 patients, > 18 years of age,

SUBMITTER: Suh J 

PROVIDER: S-EPMC9279292 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature