{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T12:01:14Z","timestamp":1742990474186,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031689079"},{"type":"electronic","value":"9783031689086"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-68908-6_21","type":"book-chapter","created":{"date-parts":[[2024,9,28]],"date-time":"2024-09-28T06:01:58Z","timestamp":1727503318000},"page":"255-267","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Predicting Heart Disease Using Gaussian Confidence Distance Algorithm with Extra Tree Classifier"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5859-0352","authenticated-orcid":false,"given":"S.","family":"Amudha","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1397-3576","authenticated-orcid":false,"given":"M.","family":"Satheesh Kumar","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1066-5893","authenticated-orcid":false,"given":"C.","family":"Amutha Devi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2523-5271","authenticated-orcid":false,"given":"Sasi Rekha","family":"Sankar","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,9,29]]},"reference":[{"doi-asserted-by":"publisher","unstructured":"Karthick, K., Aruna, S.K., Samikannu, R., Kuppusamy, R., Teekaraman, Y., Thelkar, A.R.: Implementation of a heart disease risk prediction model using machine learning. Hindawi Comput. Math. Methods Med. 2022, 14, Article ID 6517716 (2022). https:\/\/doi.org\/10.1155\/2022\/6517716","key":"21_CR1","DOI":"10.1155\/2022\/6517716"},{"unstructured":"Chicco, D., Oneto, L.: A novel convolutional neural network for image steganalysis with shared normalization. IEEE Trans. Multimed. 1\u201312 (2020)","key":"21_CR2"},{"doi-asserted-by":"crossref","unstructured":"Ding, Y., et al.: Transform-based machine learning for light-sheet imaging of cardiac trabeculation. IEEE Trans. Biomed. Eng. 68(1) (2021)","key":"21_CR3","DOI":"10.1109\/TBME.2020.2991754"},{"issue":"4","key":"21_CR4","doi-asserted-by":"publisher","first-page":"978","DOI":"10.1109\/TBME.2019.2926104","volume":"67","author":"X Tang","year":"2020","unstructured":"Tang, X., Ma, Z., Qisong, Hu., Tang, W.: A real-time arrhythmia heartbeats classification algorithm using parallel delta modulations and rotated linear-kernel support vector machines. IEEE Trans. Biomed. Eng. 67(4), 978\u2013986 (2020)","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"8","key":"21_CR5","doi-asserted-by":"publisher","first-page":"2105","DOI":"10.1109\/TMI.2021.3073091","volume":"40","author":"E Hoppe","year":"2021","unstructured":"Hoppe, E., et al.: Deep learning-based ECG-free cardiac navigation for multi-dimensional and motion-resolved continuous magnetic resonance imaging. IEEE Trans. Med. Imaging 40(8), 2105\u20132117 (2021). https:\/\/doi.org\/10.1109\/TMI.2021.3073091","journal-title":"IEEE Trans. Med. Imaging"},{"unstructured":"Lu, A., et al.: Learning-based regularization for cardiac strain analysis via domain adaptation. IEEE Trans. Med. Imaging 1\u201315 (2021)","key":"21_CR6"},{"issue":"2","key":"21_CR7","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1109\/TNNLS.2020.2984955","volume":"32","author":"C Yu","year":"2021","unstructured":"Yu, C., et al.: Multitask learning for estimating multitype cardiac indices in MRI and CT based on adversarial reverse mapping. IEEE Trans. Neural Netw. Learn. Syst. 32(2), 493\u2013506 (2021). https:\/\/doi.org\/10.1109\/TNNLS.2020.2984955","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"12","key":"21_CR8","doi-asserted-by":"publisher","first-page":"2605","DOI":"10.1109\/TUFFC.2020.2995118","volume":"67","author":"TS Jahren","year":"2020","unstructured":"Jahren, T.S., Steen, E.N., Aase, S.A., Solberg, A.H.S.: Estimation of end-diastole in cardiac spectral Doppler using deep learning. IEEE Trans. Ultrasonics Ferroelectrics Frequency Control 67(12), 2605\u20132614 (2020). https:\/\/doi.org\/10.1109\/TUFFC.2020.2995118","journal-title":"IEEE Trans. Ultrasonics Ferroelectrics Frequency Control"},{"issue":"6","key":"21_CR9","doi-asserted-by":"publisher","first-page":"1658","DOI":"10.1109\/TBME.2018.2877649","volume":"66","author":"R Tao","year":"2019","unstructured":"Tao, R., et al.: Magnetocardiography-based ischemic heart disease detection and localization using machine learning methods. IEEE Trans. Biomed. Eng. 66(6), 1658\u20131667 (2019). https:\/\/doi.org\/10.1109\/TBME.2018.2877649","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"6","key":"21_CR10","doi-asserted-by":"publisher","first-page":"2759","DOI":"10.1109\/TCBB.2020.3041527","volume":"18","author":"D Chicco","year":"2021","unstructured":"Chicco, D., Oneto, L.: An enhanced Random Forests approach to predict heart failure from small imbalanced gene expression data. IEEE\/ACM Trans. Comput. Biol. Bioinform. 18(6), 2759\u20132765 (2021)","journal-title":"IEEE\/ACM Trans. Comput. Biol. Bioinform."},{"doi-asserted-by":"publisher","unstructured":"Rahul HYPERLINK. https:\/\/ieeexplore.ieee.org\/author\/37706076100. Katarya; Polipireddy HYPERLINK. https:\/\/ieeexplore.ieee.org\/author\/37088454237 Srinivas et al.: Predicting heart disease at early stages using machine learning: a survey. In: International Conference on Electronics and Sustainable Communication Systems (ICESC) (2020). https:\/\/doi.org\/10.1109\/ICESC48915.2020.9155586","key":"21_CR11","DOI":"10.1109\/ICESC48915.2020.9155586"},{"doi-asserted-by":"publisher","unstructured":"Aditi HYPERLINK https:\/\/ieeexplore.ieee.org\/author\/37086143936. Gavhane; Gouthami HYPERLINK https:\/\/ieeexplore.ieee.org\/author\/37086142416. Kokkula; Isha Pandya; Kailas Devadkar: Prediction of heart disease using machine learning. In: Second International Conference on Electronics, Communication and Aerospace Technology (ICECA) (2018). https:\/\/doi.org\/10.1109\/ICECA.2018.8474922","key":"21_CR12","DOI":"10.1109\/ICECA.2018.8474922"},{"doi-asserted-by":"publisher","unstructured":"Snehith Raja, M., Anurag, M., HYPERLINK https:\/\/ieeexplore.ieee.org\/author\/37088843542. Prachetan HYPERLINK https:\/\/ieeexplore.ieee.org\/author\/37088843542. Reddy; Nageswara Rao Sirisala. Machine learning based heart disease prediction system. In: International Conference on Computer Communication and Informatics (ICCCI). IEEE Explore Publication (2021). https:\/\/doi.org\/10.1109\/ICCCI50826.2021.9402653","key":"21_CR13","DOI":"10.1109\/ICCCI50826.2021.9402653"},{"doi-asserted-by":"publisher","unstructured":"Divya HYPERLINK https:\/\/ieeexplore.ieee.org\/author\/37087122993. Krishnani; Anjali Kumari; Akash HYPERLINK https:\/\/ieeexplore.ieee.org\/author\/37087123472. Dewangan; Aditya Singh; Nenavath HYPERLINK https:\/\/ieeexplore.ieee.org\/author\/37089110746. Srinivas Naik: Prediction of coronary heart disease using supervised machine learning algorithms. In: TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON). IEEE Explore Publication (2019). https:\/\/doi.org\/10.1109\/TENCON.2019.8929434","key":"21_CR14","DOI":"10.1109\/TENCON.2019.8929434"},{"doi-asserted-by":"publisher","unstructured":"Boukhatem, C., Youssef, H.Y., Nassif, A.B.: Heart disease prediction using machine learning. In: 2022 Advances in Science and Engineering Technology International Conferences (ASET). IEEE Explore (2022). https:\/\/doi.org\/10.1109\/ASET53988.2022.9734880","key":"21_CR15","DOI":"10.1109\/ASET53988.2022.9734880"}],"container-title":["Communications in Computer and Information Science","Deep Sciences for Computing and Communications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-68908-6_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,16]],"date-time":"2024-12-16T18:04:35Z","timestamp":1734372275000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-68908-6_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031689079","9783031689086"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-68908-6_21","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"29 September 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IconDeepCom","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Deep Sciences for Computing and Communications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chennai","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 April 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 April 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icondeepcom2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.srmist.edu.in\/events\/icondeepcom\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}