{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T18:06:50Z","timestamp":1743098810352,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030820985"},{"type":"electronic","value":"9783030820992"}],"license":[{"start":{"date-parts":[[2021,7,28]],"date-time":"2021-07-28T00:00:00Z","timestamp":1627430400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,7,28]],"date-time":"2021-07-28T00:00:00Z","timestamp":1627430400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-030-82099-2_9","type":"book-chapter","created":{"date-parts":[[2021,12,18]],"date-time":"2021-12-18T23:16:35Z","timestamp":1639869395000},"page":"92-100","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Genetic Fuzzy Approach for the Prediction of Heart Failure"],"prefix":"10.1007","author":[{"given":"Nicholas","family":"DeGroote","sequence":"first","affiliation":[]},{"given":"Kelly","family":"Cohen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,7,28]]},"reference":[{"key":"9_CR1","unstructured":"\u201cHeart Failure\u201d. https:\/\/www.nhlbi.nih.gov\/health-topics\/heart-failure. Accessed 12 July 2020"},{"key":"9_CR2","unstructured":"Malik, A., Brito, D., Chhabra, L.: \u201cCongestive Heart Failure,\u201d StatPearls [Internet], StatPearl, Treasure Island, FL (2020). https:\/\/www.ncbi.nlm.nih.gov\/books\/NBK430873\/"},{"key":"9_CR3","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1016\/j.cjca.2019.07.623","volume":"36","author":"T Buchanan","year":"2020","unstructured":"Buchanan, T., et al.: Physician judgement vs model-predicted prognosis in patients with heart failure. Can. J. Cardiol. 36, 84\u201391 (2020). https:\/\/doi.org\/10.1016\/j.cjca.2019.07.623","journal-title":"Can. J. Cardiol."},{"key":"9_CR4","doi-asserted-by":"publisher","unstructured":"Chapman, B., Devore, A., Mentz, R., Metra, M.: Clinical profiles in acute heart failure: an urgent need for a new approach. ESC Heart Fail. 6, 464\u2013474 (2019). https:\/\/doi.org\/10.1002\/ehf2.12439","DOI":"10.1002\/ehf2.12439"},{"key":"9_CR5","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1109\/21.370193","volume":"25","author":"J Castro","year":"1995","unstructured":"Castro, J.: Fuzzy logic controllers are universal approximators. Syst. Man Cybern. IEEE Trans. 25, 629\u2013635 (1995). https:\/\/doi.org\/10.1109\/21.370193","journal-title":"Syst. Man Cybern. IEEE Trans."},{"key":"9_CR6","doi-asserted-by":"publisher","first-page":"11","DOI":"10.5120\/ijca2017913083","volume":"160","author":"R Kumari","year":"2017","unstructured":"Kumari, R., Srivastava, S.: Machine learning: a review on binary classification. Int. J. Comput. Appl. 160, 11\u201315 (2017). https:\/\/doi.org\/10.5120\/ijca2017913083","journal-title":"Int. J. Comput. Appl."},{"key":"9_CR7","doi-asserted-by":"publisher","unstructured":"Chicco, D., Jurman, G.: Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone. BMC Med. Inform. Decis. Mak. 20, 1\u201316 (2020). https:\/\/doi.org\/10.1186\/s12911-020-1023-5","DOI":"10.1186\/s12911-020-1023-5"},{"key":"9_CR8","doi-asserted-by":"publisher","unstructured":"Ernest, N., Cohen, K., Kivelevitch, E., Schumacher, C., Casbeer, D.: Genetic fuzzy trees and their application towards autonomous training and control of a squadron of unmanned combat aerial vehicles. Unmanned Syst. 03, 185\u2013204 (2015). https:\/\/doi.org\/10.1142\/S2301385015500120","DOI":"10.1142\/S2301385015500120"},{"key":"9_CR9","doi-asserted-by":"publisher","unstructured":"Abdullah, A., Fadil, N., Khairunizam, W.: Development of Fuzzy Expert System for Diagnosis of Diabetes, pp. 1\u20138 (2018). https:\/\/doi.org\/10.1109\/ICASSDA.2018.8477635","DOI":"10.1109\/ICASSDA.2018.8477635"},{"key":"9_CR10","doi-asserted-by":"publisher","first-page":"588","DOI":"10.1016\/j.procs.2017.11.283","volume":"120","author":"K Uyar","year":"2017","unstructured":"Uyar, K., Ilhan, A.: Diagnosis of heart disease using genetic algorithm based trained recurrent fuzzy neural networks. Procedia Comput. Sci. 120, 588\u2013593 (2017). https:\/\/doi.org\/10.1016\/j.procs.2017.11.283","journal-title":"Procedia Comput. Sci."},{"key":"9_CR11","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1016\/S0165-0114(03)00111-8","volume":"141","author":"O Cordon","year":"2004","unstructured":"Cordon, O., Gomide, F., Herrera, F., Hoffmann, F., Magdalena, L.: Ten years of genetic fuzzy systems: current framework and new trends. Fuzzy Sets Syst. 141, 5\u201331 (2004). https:\/\/doi.org\/10.1016\/S0165-0114(03)00111-8","journal-title":"Fuzzy Sets Syst."},{"key":"9_CR12","doi-asserted-by":"publisher","first-page":"2186","DOI":"10.1016\/j.jacc.2017.09.006","volume":"70","author":"G Lewis","year":"2017","unstructured":"Lewis, G., et al.: Biological phenotypes of heart failure with preserved ejection fraction. J. Am. Coll. Cardiol. 70, 2186\u20132200 (2017). https:\/\/doi.org\/10.1016\/j.jacc.2017.09.006","journal-title":"J. Am. Coll. Cardiol."},{"key":"9_CR13","doi-asserted-by":"publisher","unstructured":"Chicco, D., Jurman, G.: The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation. BMC Genomics 21, 1\u20133 (2020). https:\/\/doi.org\/10.1186\/s12864-019-6413-7","DOI":"10.1186\/s12864-019-6413-7"}],"container-title":["Lecture Notes in Networks and Systems","Explainable AI and Other Applications of Fuzzy Techniques"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-82099-2_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,18]],"date-time":"2021-12-18T23:19:43Z","timestamp":1639869583000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-82099-2_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,28]]},"ISBN":["9783030820985","9783030820992"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-82099-2_9","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2021,7,28]]},"assertion":[{"value":"28 July 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"NAFIPS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"North American Fuzzy Information Processing Society Annual Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"West Lafayette, IN","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 June 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 June 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"nafips2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/polytechnic.purdue.edu\/nafips2021","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}