{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T17:21:41Z","timestamp":1778347301710,"version":"3.51.4"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,1,20]],"date-time":"2025-01-20T00:00:00Z","timestamp":1737331200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,1,20]],"date-time":"2025-01-20T00:00:00Z","timestamp":1737331200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Cloud Comp"],"DOI":"10.1186\/s13677-024-00720-x","type":"journal-article","created":{"date-parts":[[2025,1,20]],"date-time":"2025-01-20T16:37:32Z","timestamp":1737391052000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Prediction and diagnosis of cardiovascular disease using cloud and machine learning design"],"prefix":"10.1186","volume":"14","author":[{"given":"K.","family":"Babu","sequence":"first","affiliation":[]},{"given":"A. Gokula","family":"Chandar","sequence":"additional","affiliation":[]},{"given":"S.","family":"Kannadhasan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,1,20]]},"reference":[{"key":"720_CR1","unstructured":"Santhana Krishnan J, Geetha S (2019) Prediction of Heart Disease Using Machine Learning Algorithms, 2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT), 20 June"},{"key":"720_CR2","doi-asserted-by":"crossref","unstructured":"RahmaAtallah AA-M (2019) Heart Disease Detection Using Machine Learning Majority Voting Ensemble Method, 2019 2nd International Conference on new Trends in Computing Sciences (ICTCS), 05 December","DOI":"10.1109\/ICTCS.2019.8923053"},{"key":"720_CR3","doi-asserted-by":"crossref","unstructured":"Mohan S ChandrasegarThirumalai, Effective heart Disease Prediction using hybrid machine learning techniques. IEEE Access (Volume 7), 19 June 2019","DOI":"10.1109\/ACCESS.2019.2923707"},{"key":"720_CR6","doi-asserted-by":"crossref","unstructured":"DivyaKrishnani A, Kumari Prediction of Coronary Heart Disease using Supervised Machine Learning Algorithms, TENCON 2019\u20132019 IEEE Region 10 Conference (TENCON), 12 December 2019","DOI":"10.1109\/TENCON.2019.8929434"},{"key":"720_CR5","doi-asserted-by":"crossref","unstructured":"OumaimaTerrada BC (2019) Classification and Prediction of atherosclerosis diseases using machine learning algorithms, 2019 5th International Conference on Optimization and Applications (ICOA), 03 June","DOI":"10.1109\/ICOA.2019.8727688"},{"key":"720_CR4","doi-asserted-by":"crossref","unstructured":"Mamatha Alex P, Shaicy P, Shaji Predictionand Diagnosis of Heart Disease Patients using Data Mining Technique, 2019 International Conference on Communication and Signal Processing (ICCSP), 25 April 2019","DOI":"10.1109\/ICCSP.2019.8697977"},{"key":"720_CR7","doi-asserted-by":"crossref","unstructured":"Kumar G, Dinesh K, Arumugaraj (2018) Prediction of Cardiovascular Disease Using Machine Learning Algorithms, 2018 International Conference on Current Trends towards Converging Technologies (ICCTCT), 29 November","DOI":"10.1109\/ICCTCT.2018.8550857"},{"key":"720_CR8","doi-asserted-by":"crossref","unstructured":"Chen K (2019) AkritMudvari, Heart Murmurs Clustering Using Machine Learning, 2018 14th IEEE International Conference on Signal Processing (ICSP), 28 February","DOI":"10.1109\/ICSP.2018.8652329"},{"key":"720_CR9","unstructured":"Sanchayita Dhar K, Roy A Hybrid Machine Learning Approach for Prediction of Heart Diseases, 2018 4th International Conference on Computing Communication and Automation (ICCCA), 29 July 2019"},{"key":"720_CR10","doi-asserted-by":"crossref","unstructured":"Sneha Borkar MN, Annadate Supervised Machine Learning Algorithm for Detection of Cardiac Disorders, 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA), 25 April 2019","DOI":"10.1109\/ICCUBEA.2018.8697795"},{"key":"720_CR11","doi-asserted-by":"publisher","first-page":"3213","DOI":"10.1016\/j.matpr.2020.09.078","volume":"37","author":"M Diwakar","year":"2021","unstructured":"Diwakar M, Tripathi A, Joshi K, Memoria M, Singh P (2021) Latest trends on heart disease prediction using machine learning and image fusion. Mater Today Proc 37:3213\u20133218","journal-title":"Mater Today Proc"},{"key":"720_CR12","doi-asserted-by":"publisher","first-page":"729","DOI":"10.3390\/life12050729","volume":"12","author":"AU Rahman","year":"2022","unstructured":"12, Rahman AU, Saeed M, Mohammed MA, Krishnamoorthy S, Kadry S, Eid F (2022) An Integrated Algorithmic MADM Approach for Heart diseases\u2019 diagnosis based on Neutrosophic Hypersoft set with possibility degree-based setting. Life 12:729","journal-title":"Life"},{"key":"720_CR13","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1097\/01.hjr.0000173109.14228.71","volume":"12","author":"G Hu","year":"2005","unstructured":"Hu G, Root MM (2005) Building prediction models for coronary heart disease by synthesizing multiple longitudinal research findings. Eur J Prev Cardiol 12:459\u2013464","journal-title":"Eur J Prev Cardiol"},{"key":"720_CR14","doi-asserted-by":"publisher","first-page":"1920","DOI":"10.1161\/CIRCULATIONAHA.115.001593","volume":"132","author":"RC Deo","year":"2015","unstructured":"Deo RC (2015) Machine learning in medicine. Circulation 132:1920\u20131930","journal-title":"Circulation"},{"key":"720_CR15","first-page":"0975","volume":"68","author":"T Mythili","year":"2013","unstructured":"Mythili T, Mukherji D, Padalia N, Naidu A (2013) A heart disease prediction model using SVM-decision trees-logistic regression (SDL). Int J Comput Appl 68:0975\u20138887","journal-title":"Int J Comput Appl"},{"key":"720_CR16","first-page":"51","volume":"67","author":"M Elhoseny","year":"2021","unstructured":"Elhoseny M, Mohammed MA, Mostafa SA, Abdulkareem KH, Maashi MS, Garcia-Zapirain B, Mutlag AA, Maashi MS (2021) A new multi-agent feature wrapper machine learning approach for heart disease diagnosis. Comput Mater Contin 67:51\u201371","journal-title":"Comput Mater Contin"},{"key":"720_CR17","doi-asserted-by":"publisher","first-page":"304","DOI":"10.1016\/0002-9149(89)90524-9","volume":"64","author":"R Detrano","year":"1989","unstructured":"Detrano R, Janosi A, Steinbrunn W, Pfisterer M, Schmid JJ, Sandhu S, Guppy KH, Lee S, Froelicher V (1989) International application of a new probability algorithm for the diagnosis of coronary artery disease. Am J Cardiol 64:304\u2013310","journal-title":"Am J Cardiol"},{"key":"720_CR18","unstructured":"Gennari JH, Langley P, Fisher D Models of incremental concept formation. Artif. Intell. 40, 11\u201361. [CrossRef] 19. Janosi, Steinbrunn A, Pfisterer W, Detrano M (1989) R. UCI Machine Learning Repository: Heart Disease Dataset [Online]. Available online: https:\/\/archive-beta.ics.uci.edu\/ml\/datasets\/heart+disease (accessed on 1 March 2022)"},{"key":"720_CR19","unstructured":"Machine Learning Repository (2022) Statlog (Heart) [Online]. Available online: https:\/\/archive.ics.uci.edu\/dataset\/145\/statlog+heart. Accessed on 1"},{"key":"720_CR20","doi-asserted-by":"publisher","first-page":"678","DOI":"10.1109\/ACCESS.2015.2437951","volume":"3","author":"SM Riazul Islam","year":"2015","unstructured":"Riazul Islam SM, HumaunKabir M, Hossain M, Kwak D, Kwak KS (2015) The internet of things for Health Care: a Comprehensive Survey. IEEE Access 3:678\u2013708","journal-title":"IEEE Access"},{"key":"720_CR21","doi-asserted-by":"crossref","unstructured":"Hashi EK, Zaman MSU, Hasan MR (2017) An expert clinical decision support system to predict disease using classification techniques. In 2017 International Conference on Electrical, Computer and Communication Engineering (ECCE), pp. 396\u2013400","DOI":"10.1109\/ECACE.2017.7912937"},{"issue":"13","key":"720_CR22","first-page":"31","volume":"70","author":"P Patidar","year":"2013","unstructured":"Patidar P, Tiwari A (2013) Handling missing value in decision Tree Algorithm. Int J Comput Appl 70(13):31\u201336","journal-title":"Int J Comput Appl"},{"key":"720_CR23","doi-asserted-by":"crossref","unstructured":"Naik A, Samant L (2016) Correlation Review of Classification Algorithm Using Data Mining Tool: WEKA, Rapidminer, Tanagra, Orange and Knime. Procedia Comput Sci 85:662\u2013668","DOI":"10.1016\/j.procs.2016.05.251"},{"key":"720_CR24","doi-asserted-by":"crossref","unstructured":"Saravananathan K, Velmurugan T (2016) Analyzing Diabetic Data using Classification Algorithms in Data Mining. Indian J Sci Technol 9(43):1\u20136","DOI":"10.17485\/ijst\/2016\/v9i43\/93874"}],"container-title":["Journal of Cloud Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13677-024-00720-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s13677-024-00720-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13677-024-00720-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,20]],"date-time":"2025-01-20T16:37:43Z","timestamp":1737391063000},"score":1,"resource":{"primary":{"URL":"https:\/\/journalofcloudcomputing.springeropen.com\/articles\/10.1186\/s13677-024-00720-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,20]]},"references-count":24,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["720"],"URL":"https:\/\/doi.org\/10.1186\/s13677-024-00720-x","relation":{},"ISSN":["2192-113X"],"issn-type":[{"value":"2192-113X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1,20]]},"assertion":[{"value":"14 April 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 November 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 January 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"According to the authors, there are no ethical approval with this study.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"The authors declare no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"3"}}