{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T18:00:36Z","timestamp":1774548036924,"version":"3.50.1"},"reference-count":24,"publisher":"Public Library of Science (PLoS)","issue":"3","license":[{"start":{"date-parts":[[2024,3,19]],"date-time":"2024-03-19T00:00:00Z","timestamp":1710806400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004702","name":"Universit\u00e0 degli Studi di Genova","doi-asserted-by":"publisher","award":["\u201cBando incentivazione della progettazione europea 2021\u201d - Mission \u201cPromoting Competitiveness\u201d (DR n. 3386 of 26\/07\/2021). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript."],"award-info":[{"award-number":["\u201cBando incentivazione della progettazione europea 2021\u201d - Mission \u201cPromoting Competitiveness\u201d (DR n. 3386 of 26\/07\/2021). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript."]}],"id":[{"id":"10.13039\/501100004702","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003407","name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca","doi-asserted-by":"publisher","award":["\u201cThe work was also supported by Future Artificial Intelligence Research (FAIR) project, Italian Recovery and Resilience Plan (PNRR), Spoke 3 - Resilient AI\u201d CUP B53C22003630006. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript."],"award-info":[{"award-number":["\u201cThe work was also supported by Future Artificial Intelligence Research (FAIR) project, Italian Recovery and Resilience Plan (PNRR), Spoke 3 - Resilient AI\u201d CUP B53C22003630006. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript."]}],"id":[{"id":"10.13039\/501100003407","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS ONE"],"abstract":"<jats:p>\n                    Explainable Artificial Intelligence (XAI) is becoming a disruptive trend in healthcare, allowing for transparency and interpretability of autonomous decision-making. In this study, we present an innovative application of a rule-based classification model to identify the main causes of chronic cough-related quality of life (QoL) impairment in a cohort of asthmatic patients. The proposed approach first involves the design of a suitable symptoms questionnaire and the subsequent analyses via XAI. Specifically, feature ranking, derived from statistically validated decision rules, helped in automatically identifying the main factors influencing an impaired QoL: pharynx\/larynx and upper airways when asthma is under control, and asthma itself and digestive trait when asthma is not controlled. Moreover, the obtained\n                    <jats:italic>if-then<\/jats:italic>\n                    rules identified specific thresholds on the symptoms associated to the impaired QoL. These results, by finding priorities among symptoms, may prove helpful in supporting physicians in the choice of the most adequate diagnostic\/therapeutic plan.\n                  <\/jats:p>","DOI":"10.1371\/journal.pone.0292980","type":"journal-article","created":{"date-parts":[[2024,3,19]],"date-time":"2024-03-19T13:23:23Z","timestamp":1710854603000},"page":"e0292980","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":6,"title":["Explainable artificial intelligence for cough-related quality of life impairment prediction in asthmatic patients"],"prefix":"10.1371","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0579-647X","authenticated-orcid":true,"given":"Sara","family":"Narteni","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ilaria","family":"Baiardini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fulvio","family":"Braido","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maurizio","family":"Mongelli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"340","published-online":{"date-parts":[[2024,3,19]]},"reference":[{"key":"pone.0292980.ref001","unstructured":"European Commission, Directorate-General for Communications Networks, Content and Technology, (2019). 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