We propose an automated surgical adverse events detection tool, aimed at accelerating the process of extracting postoperative outcomes from medical charts.
Oct 19, 2017 · In this work, we propose an automated surgical adverse events detection tool, aimed at accelerating the process of extracting postoperative ...
In this work, we propose an automated surgical adverse events detection tool, aimed at accelerating the process of extracting postoperative outcomes from ...
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Sep 10, 2024 · This scoping review aimed to explore methods for identifying patients with postoperative infections using electronic health record (EHR) data.
The goal of this study was to develop and validate parsimonious, interpretable models for conducting surveillance of postoperative infections using structured ...
Automated detection of postoperative surgical site infections using supervised methods with electronic health record data. Stud Health Technol Inform. 2015 ...
Background: The objective of this study was to develop an algorithm for identifying surgical site infections (SSIs) using independent variables from ...
Sep 10, 2024 · We evaluated the different types of EHR data needed for the surveillance and labeling of postoperative infections, as well as the performance of ...
We developed a machine learning algorithm for identifying patients with one or more complications using data from the electronic health record (EHR).
Automated Detection of Postoperative Surgical Site Infections Using Supervised Methods with Electronic Health Record Data · Computer Science, Medicine. Medinfo.