{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T23:16:24Z","timestamp":1763507784787,"version":"3.28.0"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,11,26]],"date-time":"2022-11-26T00:00:00Z","timestamp":1669420800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,11,26]],"date-time":"2022-11-26T00:00:00Z","timestamp":1669420800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,11,26]]},"DOI":"10.1109\/iscmi56532.2022.10068438","type":"proceedings-article","created":{"date-parts":[[2023,3,21]],"date-time":"2023-03-21T15:49:06Z","timestamp":1679413746000},"page":"68-73","source":"Crossref","is-referenced-by-count":1,"title":["Explainable Machine Learning Models for Pneumonia Mortality Risk Prediction Using MIMIC-III Data"],"prefix":"10.1109","author":[{"given":"James","family":"Sanii","sequence":"first","affiliation":[{"name":"Queen's University,Department of Electrical and Computer Engineering,Kingston,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wai Yip","family":"Chan","sequence":"additional","affiliation":[{"name":"Queen's University,Department of Electrical and Computer Engineering,Kingston,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"MIMIC-III Clinical Database (version 1 4) PhysioNet","year":"0","author":"johnson","key":"ref13"},{"key":"ref12","article-title":"Development of a nomogram to predict 28-day mortality of patients with sepsis-induced coagulopathy: An analysis of the mimic-III database","volume":"8","author":"lu","year":"2021","journal-title":"Frontiers of Medicine"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1161\/01.CIR.101.23.e215"},{"key":"ref14","article-title":"MIMIC-III, a freely accessible critical care database","volume":"3","author":"johnson","year":"2016","journal-title":"Data Science Journal"},{"journal-title":"Explainable boosting machine - interpret","year":"0","key":"ref20"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1186\/s12967-020-02620-5"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1080\/07853890.2018.1518580"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0048-x"},{"key":"ref1","article-title":"Pneumonia","author":"dadonaite","year":"2018","journal-title":"Our World in Data"},{"key":"ref17","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref19","article-title":"InterpretML: A unified framework for machine learning interpretability","author":"nori","year":"2019","journal-title":"ArXiv"},{"journal-title":"pygam generalized additive models in python","year":"2018","author":"serv\u00e9n","key":"ref18"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3389\/fdata.2021.613047"},{"key":"ref7","article-title":"Lime-enabled investigation of con-volutional neural network performances in COVID-19 chest X-ray de-tection","author":"cervantes","year":"0","journal-title":"2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1162\/99608f92.6ed64b30"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939778"},{"journal-title":"Good Machine Learning Practice for Medical Device Development Guiding Principles","year":"2021","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1126\/science.aax2342"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2021.102158"}],"event":{"name":"2022 9th International Conference on Soft Computing & Machine Intelligence (ISCMI)","start":{"date-parts":[[2022,11,26]]},"location":"Toronto, ON, Canada","end":{"date-parts":[[2022,11,27]]}},"container-title":["2022 9th International Conference on Soft Computing & Machine Intelligence (ISCMI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10068346\/10068435\/10068438.pdf?arnumber=10068438","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,10]],"date-time":"2023-04-10T14:57:26Z","timestamp":1681138646000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10068438\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,26]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/iscmi56532.2022.10068438","relation":{},"subject":[],"published":{"date-parts":[[2022,11,26]]}}}