{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:27:59Z","timestamp":1742912879400,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030195038"},{"type":"electronic","value":"9783030195045"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-19504-5_9","type":"book-chapter","created":{"date-parts":[[2019,5,14]],"date-time":"2019-05-14T04:42:13Z","timestamp":1557808933000},"page":"125-139","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Designing a Machine Learning Model to Predict Cardiovascular Disease Without Any Blood Test"],"prefix":"10.1007","author":[{"given":"Arin","family":"Brahma","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Samir","family":"Chatterjee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,4,27]]},"reference":[{"key":"9_CR1","unstructured":"World Health Organization. Cardiovascular Diseases (CVD) Fact Sheet. https:\/\/www.who.int\/en\/news-room\/fact-sheets\/detail\/cardiovascular-diseases-(cvds)"},{"issue":"10","key":"9_CR2","doi-asserted-by":"publisher","first-page":"e146","DOI":"10.1161\/CIR.0000000000000485","volume":"135","author":"EJ Benjamin","year":"2017","unstructured":"Benjamin, E.J., et al.: Heart disease and stroke statistics-2017 update: a report from the American Heart Association. Circulation 135(10), e146\u2013e603 (2017)","journal-title":"Circulation"},{"key":"9_CR3","unstructured":"World Health Organization: Global strategy on human resources for health: Workforce 2030 (2016)"},{"key":"9_CR4","doi-asserted-by":"crossref","unstructured":"Colantonio, S., Martinelli, M., Moroni, D., Salvetti, O., Chiarugi, F., Emmanouilidou, D.: A decision support system for aiding heart failure management. In: 2009 Ninth International Conference on Intelligent Systems Design and Applications 2009, pp. 351\u2013356. IEEE (2009)","DOI":"10.1109\/ISDA.2009.117"},{"issue":"8","key":"9_CR5","doi-asserted-by":"publisher","first-page":"556","DOI":"10.1016\/j.ijmedinf.2012.03.001","volume":"81","author":"E Seto","year":"2012","unstructured":"Seto, E., Leonard, K.J., Cafazzo, J.A., Barnsley, J., Masino, C., Ross, H.J.: Developing healthcare rule-based expert systems: case study of a heart failure telemonitoring system. Int. J. Med. Inform. 81(8), 556\u2013565 (2012). https:\/\/doi.org\/10.1016\/j.ijmedinf.2012.03.001","journal-title":"Int. J. Med. Inform."},{"key":"9_CR6","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1155\/2012\/585072","volume":"2012","author":"E Sourla","year":"2012","unstructured":"Sourla, E., Sioutas, S., Syrimpeis, V., Tsakalidis, A., Tzimas, G.: CardioSmart365: artificial intelligence in the service of cardiologic patients. Adv. Artif. Intell. 2012, 2 (2012)","journal-title":"Adv. Artif. Intell."},{"issue":"2","key":"9_CR7","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1016\/j.ijcard.2011.06.009","volume":"163","author":"J Zhang","year":"2013","unstructured":"Zhang, J., Goode, K.M., Rigby, A., Balk, A.H., Cleland, J.G.: Identifying patients at risk of death or hospitalisation due to worsening heart failure using decision tree analysis: evidence from the Trans-European Network-Home-Care Management System (TEN-HMS) study. Int. J. Cardiol. 163(2), 149\u2013156 (2013)","journal-title":"Int. J. Cardiol."},{"issue":"4","key":"9_CR8","doi-asserted-by":"publisher","first-page":"e0174944","DOI":"10.1371\/journal.pone.0174944","volume":"12","author":"SF Weng","year":"2017","unstructured":"Weng, S.F., Reps, J., Kai, J., Garibaldi, J.M., Qureshi, N.: Can machine-learning improve cardiovascular risk prediction using routine clinical data? PLoS ONE 12(4), e0174944 (2017)","journal-title":"PLoS ONE"},{"issue":"2","key":"9_CR9","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1093\/jamia\/ocw112","volume":"24","author":"E Choi","year":"2016","unstructured":"Choi, E., Schuetz, A., Stewart, W.F., Sun, J.: Using recurrent neural network models for early detection of heart failure onset. J. Am. Med. Inform. Assoc. 24(2), 361\u2013370 (2016)","journal-title":"J. Am. Med. Inform. Assoc."},{"issue":"4","key":"9_CR10","doi-asserted-by":"publisher","first-page":"7675","DOI":"10.1016\/j.eswa.2008.09.013","volume":"36","author":"R Das","year":"2009","unstructured":"Das, R., Turkoglu, I., Sengur, A.: Effective diagnosis of heart disease through neural networks ensembles. Expert Syst. Appl. 36(4), 7675\u20137680 (2009)","journal-title":"Expert Syst. Appl."},{"issue":"6","key":"9_CR11","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1161\/CIRCOUTCOMES.116.003039","volume":"9","author":"BJ Mortazavi","year":"2016","unstructured":"Mortazavi, B.J., et al.: Analysis of machine learning techniques for heart failure readmissions. Circ. Cardiovasc. Qual. Outcomes 9(6), 629\u2013640 (2016)","journal-title":"Circ. Cardiovasc. Qual. Outcomes"},{"issue":"3","key":"9_CR12","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1016\/j.ijmedinf.2014.10.002","volume":"84","author":"W Dai","year":"2015","unstructured":"Dai, W., Brisimi, T.S., Adams, W.G., Mela, T., Saligrama, V., Paschalidis, I.C.: Prediction of hospitalization due to heart diseases by supervised learning methods. Int. J. Med. Inform. 84(3), 189\u2013197 (2015)","journal-title":"Int. J. Med. Inform."},{"issue":"6","key":"9_CR13","doi-asserted-by":"publisher","first-page":"1103","DOI":"10.1093\/ajcn\/78.6.1103","volume":"78","author":"JM Kerver","year":"2003","unstructured":"Kerver, J.M., Yang, E.J., Bianchi, L., Song, W.O.: Dietary patterns associated with risk factors for cardiovascular disease in healthy US adults. Am. J. Clin. Nutr. 78(6), 1103\u20131110 (2003)","journal-title":"Am. J. Clin. Nutr."},{"key":"9_CR14","unstructured":"World Health Organization: Types of Cardiovascular disease. https:\/\/www.who.int\/cardiovascular_diseases\/en\/cvd_atlas_01_types.pdf"},{"issue":"25 Part B","key":"9_CR15","doi-asserted-by":"publisher","first-page":"2935","DOI":"10.1016\/j.jacc.2013.11.005","volume":"63","author":"DC Goff","year":"2014","unstructured":"Goff, D.C., et al.: 2013 ACC\/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology\/American Heart Association Task Force on Practice Guidelines. J. Am. Coll. Cardiol. 63(25 Part B), 2935\u20132959 (2014)","journal-title":"J. Am. Coll. Cardiol."},{"key":"9_CR16","unstructured":"ASCVD Risk Estimator Plus. http:\/\/tools.acc.org\/ASCVD-Risk-Estimator-Plus\/#!\/calculate\/estimate\/"},{"key":"9_CR17","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-5653-8","volume-title":"Design Research in Information Systems: Theory and Practice","author":"A Hevner","year":"2010","unstructured":"Hevner, A., Chatterjee, S.: Design Research in Information Systems: Theory and Practice, vol. 22. Springer, New York (2010). https:\/\/doi.org\/10.1007\/978-1-4419-5653-8"},{"key":"9_CR18","unstructured":"Sleep Heart Health Study. https:\/\/sleepdata.org\/datasets\/shhs"}],"container-title":["Lecture Notes in Computer Science","Extending the Boundaries of Design Science Theory and Practice"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-19504-5_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,12,12]],"date-time":"2020-12-12T18:12:53Z","timestamp":1607796773000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-19504-5_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030195038","9783030195045"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-19504-5_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"27 April 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DESRIST","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Design Science Research in Information Systems and Technology","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Worcester, MA","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":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 June 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 June 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"desrist2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/desrist2019.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"54","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"20","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"37% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}}]}}