{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/improving-mechanical-ventilator-clinical","title":"Improving Mechanical Ventilator Clinical Decision Support Systems with A Machine Learning Classifier for Determining Ventilator Mode","arxiv_id":"1904.12969","date":"2019-04-29","proceeding":null,"authors":["Gregory B. Rehm","Brooks T. Kuhn","Jimmy Nguyen","Nicholas R. Anderson","Chen-Nee Chuah","Jason Y. Adams"],"abstract":"Clinical decision support systems (CDSS) will play an in-creasing role in\nimproving the quality of medical care for critically ill patients. However, due\nto limitations in current informatics infrastructure, CDSS do not always have\ncom-plete information on state of supporting physiologic monitor-ing devices,\nwhich can limit the input data available to CDSS. This is especially true in\nthe use case of mechanical ventilation (MV), where current CDSS have no\nknowledge of critical ventilation settings, such as ventilation mode. To enable\nMV CDSS to make accurate recommendations related to ventilator mode, we\ndeveloped a highly performant ma-chine learning model that is able to perform\nper-breath clas-sification of 5 of the most widely used ventilation modes in\nthe USA with an average F1-score of 97.52%. We also show how our approach makes\nmethodologic improvements over previous work and that it is highly robust to\nmissing data caused by software/sensor error.","url_abs":"http://arxiv.org/abs/1904.12969v1","url_pdf":"http://arxiv.org/pdf/1904.12969v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"improving-mechanical-ventilator-clinical","repo_url":"https://github.com/hahnicity/ventmode","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null},{"paper_slug":"improving-mechanical-ventilator-clinical","repo_url":"https://github.com/kevinkwshin/PaperList","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}