{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T04:50:19Z","timestamp":1777697419447,"version":"3.51.4"},"publisher-location":"Singapore","reference-count":15,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819563036","type":"print"},{"value":"9789819563043","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-981-95-6304-3_18","type":"book-chapter","created":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:22:48Z","timestamp":1777454568000},"page":"203-213","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Heart Attack Prediction Using Deep Learning Methods"],"prefix":"10.1007","author":[{"given":"Ivo Herid","family":"Lesmana","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Syarifah Diana","family":"Permai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeklin","family":"Harefa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gredion","family":"Prajena","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,4,1]]},"reference":[{"key":"18_CR1","unstructured":"Gielen, S., Laughlin, M.H., O'Conner, C., Duncher, D.J.: Exercise training in patients with heart disease: review of beneficial effects and clinical recommendations (2014)"},{"key":"18_CR2","unstructured":"Angelantonio, E.D., Thompson,  A., Wensley, F., Danesh, J.: Coronary heart disease (2011)"},{"key":"18_CR3","doi-asserted-by":"crossref","unstructured":"Sun, R.R., Liu, M., Lu, L., Zheng, Y., Zhang, P.: Congenital Heart Disease: Causes, Diagnosis, Symptoms, and Treatments (2015)","DOI":"10.1007\/s12013-015-0551-6"},{"key":"18_CR4","doi-asserted-by":"crossref","unstructured":"Gawlikowski, J., et al.: A survey of uncertainty in deep neural networks. Artif. Intell. Rev. (2023)","DOI":"10.1007\/s10462-023-10562-9"},{"key":"18_CR5","doi-asserted-by":"crossref","unstructured":"Amin, A.H., Ahmed, B.K., Maroof, B.B., Rashid, T.A.: Heart attack classification system using neural network trained with particle swarm optimization (2022)","DOI":"10.1007\/978-3-031-14054-9_4"},{"key":"18_CR6","unstructured":"William Tchin, A.J.A.R., Putro, P.H., Darmawan, Y.P., Gunawan, A.A.S.: Prediction of heart disease UCI dataset using machine learning algorithms (2022)"},{"key":"18_CR7","unstructured":"Hemanth, J.D., Kose, U.: Heart Diseases Diagnose via Mobile Application (2018)"},{"key":"18_CR8","doi-asserted-by":"crossref","unstructured":"Schober, P., Vetter, T.: Logistic regression in medical research (2021)","DOI":"10.1213\/ANE.0000000000005247"},{"key":"18_CR9","doi-asserted-by":"crossref","unstructured":"Surjanovic, N., Lockhart, R.A., Loughin, M.T.: A generalized Hosmer\u2013Lemeshow goodness-of-fit test for a family of generalized linear models. Official J. Spanish Soc. Stat. Oper. Res. (2023)","DOI":"10.1007\/s11749-023-00912-8"},{"key":"18_CR10","unstructured":"Shihuru, K.: An introduction to artificial neural network (2016)"},{"key":"18_CR11","doi-asserted-by":"crossref","unstructured":"Bre, F., GIminez, J.M.: Prediction of wind pressure coefficients on building surfaces using artificial neural networks (2017)","DOI":"10.1016\/j.enbuild.2017.11.045"},{"key":"18_CR12","doi-asserted-by":"crossref","unstructured":"Tian, Y., Su, D., Lauria, S., Liu, X.: Recent advances on loss functions in deep learning for computer vision. Neurocomputing, 129\u2013158 (2022)","DOI":"10.1016\/j.neucom.2022.04.127"},{"key":"18_CR13","unstructured":"Mao, A., Mohri, M., Zhong, Y.: Cross-entropy loss functions: theoretical analysis and applications. In: Proceedings of the 40th International Conference on Machine Learning (2023)"},{"key":"18_CR14","unstructured":"Janosi, A., Steinbrum, W., Pfiesfer, M., Detrano, R.: International application of a new probability algorithm for the diagnosis of coronary artery disease. UCI Mach. Learn. Repository (1989)"},{"key":"18_CR15","unstructured":"Wojitas, M.A., Chen, K.: Feature importance ranking for deep learning. In: Advances in Neural Information Processing Systems, NeurIPS 2020, vol. 33 (2020)"}],"container-title":["Lecture Notes in Computer Science","Health Information Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-6304-3_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:23:01Z","timestamp":1777454581000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-6304-3_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819563036","9789819563043"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-6304-3_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"1 April 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Health Information Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bandung","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Indonesia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 December 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 December 2025","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":"his22025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/his-conferences.org\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}