{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,10]],"date-time":"2026-05-10T18:27:49Z","timestamp":1778437669415,"version":"3.51.4"},"reference-count":28,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2020,4,21]],"date-time":"2020-04-21T00:00:00Z","timestamp":1587427200000},"content-version":"am","delay-in-days":366,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#am"},{"start":{"date-parts":[[2019,4,21]],"date-time":"2019-04-21T00:00:00Z","timestamp":1555804800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["1UG1HL139123"],"award-info":[{"award-number":["1UG1HL139123"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000180","name":"U.S. Department of Homeland Security","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000180","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010174","name":"University of Colorado","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100010174","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Pediatric Pulmonology"],"published-print":{"date-parts":[[2019,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Objectives<\/jats:title><jats:p>Manual clinical scoring systems are the current standard used for acute asthma clinical care pathways. No automated system exists that assesses disease severity, time course, and treatment impact in pediatric acute severe asthma exacerbations. Working hypothesis: machine learning applied to continuous vital sign data could provide a novel pediatric\u2010automated asthma respiratory score (pARS) by using the manual pediatric asthma score (PAS) as the clinical care standard.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Continuous vital sign monitoring data (heart rate, respiratory rate, and pulse oximetry) were merged with the health record data including a provider\u2010determined PAS in children between 2 and 18 years of age admitted to the pediatric intensive care unit (PICU) for status asthmaticus. A cascaded artificial neural network (ANN) was applied to create an automated respiratory score and validated by two approaches. The ANN was compared with the Normal and Poisson regression models.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Out of an initial group of 186 patients, 128 patients met inclusion criteria. Merging physiologic data with clinical data yielded &gt;37\u2009000 data points for model training. The pARS score had good predictive accuracy, with 80% of the pARS values within \u00b12 points of the provider\u2010determined PAS, especially over the mid\u2010range of PASs (6\u20109). The Poisson and Normal distribution regressions yielded a smaller overall median absolute error.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The pARS reproduced the manually recorded PAS. Once validated and studied prospectively as a tool for research and for physician decision support, this methodology can be implemented in the PICU to objectively guide treatment decisions.<\/jats:p><\/jats:sec>","DOI":"10.1002\/ppul.24342","type":"journal-article","created":{"date-parts":[[2019,4,22]],"date-time":"2019-04-22T04:00:27Z","timestamp":1555905627000},"page":"1149-1155","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Novel pediatric\u2010automated\u00a0respiratory score using physiologic data and machine learning in asthma"],"prefix":"10.1002","volume":"54","author":[{"given":"Amanda I.","family":"Messinger","sequence":"first","affiliation":[{"name":"Department of Pediatrics, Colorado School of Medicine, The Breathing Institute, University of Colorado Children's Hospital Colorado Aurora Colorado"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nam","family":"Bui","sequence":"additional","affiliation":[{"name":"Department of Computer Science University of Colorado Boulder Boulder Colorado"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brandie D.","family":"Wagner","sequence":"additional","affiliation":[{"name":"Department of Biostatistics and Informatics, Colorado School of Public Health University of Colorado Aurora Colorado"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stanley J.","family":"Szefler","sequence":"additional","affiliation":[{"name":"Department of Pediatrics, Colorado School of Medicine, The Breathing Institute, University of Colorado Children's Hospital Colorado Aurora Colorado"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tam","family":"Vu","sequence":"additional","affiliation":[{"name":"Department of Computer Science University of Colorado Boulder Boulder Colorado"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robin R.","family":"Deterding","sequence":"additional","affiliation":[{"name":"Department of Pediatrics, Colorado School of Medicine, The Breathing Institute, University of Colorado Children's Hospital Colorado Aurora Colorado"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2019,4,21]]},"reference":[{"key":"e_1_2_9_1_2_1","doi-asserted-by":"publisher","DOI":"10.1097\/MOP.0b013e32835e8fe6"},{"key":"e_1_2_9_1_3_1","doi-asserted-by":"publisher","DOI":"10.1097\/CCM.0000000000001738"},{"key":"e_1_2_9_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.siny.2015.03.006"},{"key":"e_1_2_9_1_5_1","doi-asserted-by":"publisher","DOI":"10.1186\/cc10337"},{"key":"e_1_2_9_1_6_1","doi-asserted-by":"publisher","DOI":"10.1542\/hpeds.2016-0108"},{"key":"e_1_2_9_1_7_1","doi-asserted-by":"publisher","DOI":"10.1067\/mpd.2000.110121"},{"key":"e_1_2_9_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpeds.2007.08.034"},{"key":"e_1_2_9_1_9_1","doi-asserted-by":"publisher","DOI":"10.1197\/j.aem.2003.07.015"},{"key":"e_1_2_9_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1081-1206(10)62514-8"},{"key":"e_1_2_9_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpeds.2007.09.033"},{"key":"e_1_2_9_1_12_1","doi-asserted-by":"publisher","DOI":"10.1002\/ppul.1110"},{"key":"e_1_2_9_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclinepi.2004.02.016"},{"key":"e_1_2_9_1_14_1","unstructured":"Asthma clinical care guidelines: Information for healthcare providers childrens hospital colorado (2013). 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