{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T00:12:54Z","timestamp":1767139974868,"version":"build-2238731810"},"update-to":[{"DOI":"10.1007\/s00779-020-01509-w","type":"retraction","label":"Retraction","source":"publisher","updated":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000}}],"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"S1","license":[{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"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":["Pers Ubiquit Comput"],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1007\/s00779-020-01509-w","type":"journal-article","created":{"date-parts":[[2021,1,9]],"date-time":"2021-01-09T21:07:58Z","timestamp":1610226478000},"page":"1-1","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["RETRACTED ARTICLE: KM-LA: knowledge-based mining for linear analysis of inconsistent medical data for healthcare applications"],"prefix":"10.1007","volume":"28","author":[{"given":"Abhay Kumar","family":"Singh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad Rukunuddin","family":"Ghalib","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,1,10]]},"reference":[{"key":"1509_CR1","doi-asserted-by":"crossref","first-page":"101309","DOI":"10.1109\/ACCESS.2019.2930730","volume":"7","author":"F Khalique","year":"2019","unstructured":"Khalique F, Khan SA, Nosheen I (2019) A framework for public health monitoring, analytics and research. IEEE Access 7:101309\u2013101326","journal-title":"IEEE Access"},{"issue":"2","key":"1509_CR2","doi-asserted-by":"crossref","first-page":"532","DOI":"10.1109\/TCC.2015.2481381","volume":"8","author":"Z Qi","year":"2020","unstructured":"Qi Z, Tian Y, Shi Y, Alexandrov V (2020) Parallel RMCLP classification algorithm and its application on the medical data. IEEE Trans Cloud Comput 8(2):532\u2013538","journal-title":"IEEE Trans Cloud Comput"},{"key":"1509_CR3","doi-asserted-by":"crossref","unstructured":"Maleh Y, Shojafar M, Alazab M, Romdhani I (eds) (2020) Blockchain for cybersecurity and privacy: architectures, challenges, and applications. CRC Press, p 384","DOI":"10.1201\/9780429324932"},{"issue":"6","key":"1509_CR4","doi-asserted-by":"crossref","first-page":"694","DOI":"10.1007\/s11518-019-5437-5","volume":"28","author":"C Guo","year":"2019","unstructured":"Guo C, Chen J (2019) Big data analytics in healthcare: data-driven methods for typical treatment pattern mining. J Syst Sci Syst Eng 28(6):694\u2013714","journal-title":"J Syst Sci Syst Eng"},{"key":"1509_CR5","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1016\/j.procs.2019.01.023","volume":"148","author":"N Domadiya","year":"2019","unstructured":"Domadiya N, Rao UP (2019) Privacy preserving distributed association rule mining approach on vertically partitioned healthcare data. Proced Comput Sci 148:303\u2013312","journal-title":"Proced Comput Sci"},{"issue":"11","key":"1509_CR6","doi-asserted-by":"crossref","first-page":"1235","DOI":"10.3390\/electronics8111235","volume":"8","author":"H Alzoubi","year":"2019","unstructured":"Alzoubi H, Alzubi R, Ramzan N, West D, Al-Hadhrami T, Alazab M (2019) A review of automatic phenotyping approaches using electronic health records. Electronics 8(11):1235","journal-title":"Electronics"},{"key":"1509_CR7","doi-asserted-by":"crossref","first-page":"177137","DOI":"10.1109\/ACCESS.2019.2957579","volume":"7","author":"M Ye","year":"2019","unstructured":"Ye M, Zhang H, Li L (2019) Research on data mining application of orthopedic rehabilitation information for smart medical. IEEE Access 7:177137\u2013177147","journal-title":"IEEE Access"},{"issue":"13","key":"1509_CR8","doi-asserted-by":"crossref","first-page":"3030","DOI":"10.3390\/s19133030","volume":"19","author":"G Manogaran","year":"2019","unstructured":"Manogaran G, Shakeel PM, Fouad H, Nam Y, Baskar S, Chilamkurti N, Sundarasekar R (2019) Wearable IoT smart-log patch: an edge computing-based Bayesian deep learning network system for multi access physical monitoring system. Sensors 19(13):3030","journal-title":"Sensors"},{"key":"1509_CR9","doi-asserted-by":"crossref","first-page":"57840","DOI":"10.1109\/ACCESS.2018.2873677","volume":"6","author":"X Zhu","year":"2018","unstructured":"Zhu X, Liu Y, Li Q, Zhang Y, Wen C (2018) Mining effective patterns of Chinese medicinal formulae using top-k weighted association rules for the internet of medical things. IEEE Access 6:57840\u201357855","journal-title":"IEEE Access"},{"key":"1509_CR10","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/j.comcom.2019.10.004","volume":"149","author":"S Baskar","year":"2020","unstructured":"Baskar S, Shakeel PM, Kumar R, Burhanuddin MA, Sampath R (2020) A dynamic and interoperable communication framework for controlling the operations of wearable sensors in smart health-care applications. Comput Commun 149:17\u201326","journal-title":"Comput Commun"},{"key":"1509_CR11","doi-asserted-by":"crossref","first-page":"945","DOI":"10.1016\/j.jad.2020.07.098","volume":"276","author":"HMV Loo","year":"2020","unstructured":"Loo HMV, Bigdeli TB, Milaneschi Y, Aggen SH, Kendler KS (2020) Data mining algorithm predicts a range of adverse outcomes in major depression. J Affect Disord 276:945\u2013953","journal-title":"J Affect Disord"},{"key":"1509_CR12","doi-asserted-by":"crossref","first-page":"101522","DOI":"10.1016\/j.scs.2019.101522","volume":"49","author":"S Jegadeesan","year":"2019","unstructured":"Jegadeesan S, Azees M, Kumar PM, Manogaran G, Chilamkurti N, Varatharajan R, Hsu CH (2019) An efficient anonymous mutual authentication technique for providing secure communication in mobile cloud computing for smart city applications. Sustain Cities Soc 49:101522","journal-title":"Sustain Cities Soc"},{"issue":"10","key":"1509_CR13","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1007\/s10916-018-1045-z","volume":"42","author":"PM Shakeel","year":"2018","unstructured":"Shakeel PM, Baskar S, Dhulipala VS, Mishra S, Jaber MM (2018) Maintaining security and privacy in health care system using learning based deep-Q-networks. J Med Syst 42(10):186","journal-title":"J Med Syst"},{"key":"1509_CR14","doi-asserted-by":"publisher","unstructured":"Cho G, Park H-M, Jung W-M, Cha W-S, Lee D, Chae Y (2020) Identification of candidate medicinal herbs for skincare via data mining of the classic Donguibogam text on Korean medicine. Integrat Med Res 100436. https:\/\/doi.org\/10.1016\/j.imr.2020.100436","DOI":"10.1016\/j.imr.2020.100436"},{"issue":"5","key":"1509_CR15","doi-asserted-by":"crossref","first-page":"2411","DOI":"10.1109\/TSG.2017.2720159","volume":"8","author":"D He","year":"2017","unstructured":"He D, Kumar N, Zeadally S, Vinel A, Yang LT (2017) Efficient and privacy-preserving data aggregation scheme for smart grid against internal adversaries. IEEE Trans Smart Grid 8(5):2411\u20132419","journal-title":"IEEE Trans Smart Grid"},{"key":"1509_CR16","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1016\/j.compeleceng.2018.03.051","volume":"68","author":"Y Cao","year":"2018","unstructured":"Cao Y, Zhu J, Guo Y, Shi C (2018) Process mining-based medical program evolution. Comput Electr Eng 68:204\u2013214","journal-title":"Comput Electr Eng"},{"issue":"8","key":"1509_CR17","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1007\/s10916-018-1003-9","volume":"42","author":"K Lan","year":"2018","unstructured":"Lan K, Wang DT, Fong S, Liu LS, Wong KK, Dey N (2018) A survey of data mining and deep learning in bioinformatics. J Med Syst 42(8):139","journal-title":"J Med Syst"},{"key":"1509_CR18","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/j.jclinepi.2019.11.006","volume":"118","author":"TKJ Groenhof","year":"2020","unstructured":"Groenhof TKJ, Koers LR, Blasse E, Groot MD, Grobbee DE, Bots ML, Asselbergs FW, Lely AT, Haitjema S, Solinge WV, Hoefer I, Nathoe HM, Borst G-JD, Geerlings MI, Emmelot MH, Jong PAD, Leiner T, Kaaij NPVD, Kappelle LJ, Ruigrok YM, Verhaar MC, Visseren FL, Westerink J (2020) Data mining information from electronic health records produced high yield and accuracy for current smoking status. J Clin Epidemiol 118:100\u2013106","journal-title":"J Clin Epidemiol"},{"key":"1509_CR19","doi-asserted-by":"crossref","first-page":"101859","DOI":"10.1016\/j.artmed.2020.101859","volume":"105","author":"H Wang","year":"2020","unstructured":"Wang H, Tan X, Huang Z, Pan B, Tian J (2020) Mining incomplete clinical data for the early assessment of Kawasaki disease based on feature clustering and convolutional neural networks. Artif Intell Med 105:101859","journal-title":"Artif Intell Med"},{"issue":"2","key":"1509_CR20","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1007\/s40199-018-0227-z","volume":"26","author":"MH Soleymani","year":"2018","unstructured":"Soleymani MH, Yaseri M, Farzadfar F, Mohammadpour A, Sharifi F, Kabir MJ (2018) Detecting medical prescriptions suspected of fraud using an unsupervised data mining algorithm. DARU J Pharmaceut Sci 26(2):209\u2013214","journal-title":"DARU J Pharmaceut Sci"},{"key":"1509_CR21","doi-asserted-by":"publisher","unstructured":"Itani, S. (2020).\u00a0Towards explainable knowledge-guided data mining for medical diagnosis aid: application to children mental disorders\u00a0(Doctoral dissertation, Springer Berlin Heidelberg). 4OR-Q J Oper Res. https:\/\/doi.org\/10.1007\/s10288-020-00438-x","DOI":"10.1007\/s10288-020-00438-x"},{"key":"1509_CR22","doi-asserted-by":"crossref","first-page":"15239","DOI":"10.1109\/ACCESS.2019.2894116","volume":"7","author":"M Cho","year":"2019","unstructured":"Cho M, Song M, Yoo S, Reijers HA (2019) An evidence-based decision support framework for clinician medical scheduling. IEEE Access 7:15239\u201315249","journal-title":"IEEE Access"},{"key":"1509_CR23","doi-asserted-by":"crossref","first-page":"41118","DOI":"10.1109\/ACCESS.2018.2857499","volume":"6","author":"J Peral","year":"2018","unstructured":"Peral J, Ferrandez A, Gil D, Munoz-Terol R, Mora H (2018) An ontology-oriented architecture for dealing with heterogeneous data applied to telemedicine systems. IEEE Access 6:41118\u201341138","journal-title":"IEEE Access"},{"key":"1509_CR24","doi-asserted-by":"crossref","first-page":"53307","DOI":"10.1109\/ACCESS.2018.2871769","volume":"6","author":"X Wang","year":"2018","unstructured":"Wang X, Wang Y, Gao C, Lin K, Li Y (2018) Automatic diagnosis with efficient medical case searching based on evolving graphs. IEEE Access 6:53307\u201353318","journal-title":"IEEE Access"},{"issue":"1","key":"1509_CR25","doi-asserted-by":"crossref","first-page":"25","DOI":"10.26599\/BDMA.2018.9020009","volume":"2","author":"C Sun","year":"2019","unstructured":"Sun C, Li Q, Cui L, Li H, Shi Y (2019) Heterogeneous network-based chronic disease progression mining. Big Data Min Analytics 2(1):25\u201334","journal-title":"Big Data Min Analytics"},{"key":"1509_CR26","doi-asserted-by":"crossref","first-page":"141319","DOI":"10.1109\/ACCESS.2019.2943817","volume":"7","author":"X Li","year":"2019","unstructured":"Li X, Wang Y, Li D (2019) Medical data stream distribution pattern association rule mining algorithm based on density estimation. IEEE Access 7:141319\u2013141329","journal-title":"IEEE Access"},{"issue":"7","key":"1509_CR27","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1016\/j.reval.2019.01.013","volume":"59","author":"M Mozaffarinya","year":"2019","unstructured":"Mozaffarinya M, Shahriyari AR, Bahadori MK, Ghazvini A, Athari SS, Vahedi G (2019) A data-mining algorithm to assess key factors in asthma diagnosis. Revue Fran\u00e7aise d'Allergologie 59(7):487\u2013492","journal-title":"Revue Fran\u00e7aise d'Allergologie"},{"key":"1509_CR28","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.cmpb.2018.08.016","volume":"165","author":"LB Moreira","year":"2018","unstructured":"Moreira LB, Namen AA (2018) A hybrid data mining model for diagnosis of patients with clinical suspicion of dementia. Comput Methods Prog Biomed 165:139\u2013149","journal-title":"Comput Methods Prog Biomed"},{"key":"1509_CR29","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.artmed.2018.03.005","volume":"87","author":"C Zhao","year":"2018","unstructured":"Zhao C, Jiang J, Guan Y, Guo X, He B (2018) EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning. Artif Intell Med 87:49\u201359","journal-title":"Artif Intell Med"},{"key":"1509_CR30","doi-asserted-by":"crossref","first-page":"101927","DOI":"10.1016\/j.artmed.2020.101927","volume":"107","author":"J Xie","year":"2020","unstructured":"Xie J, Jiang J, Wang Y, Guan Y, Guo X (2020) Learning an expandable EMR-based medical knowledge network to enhance clinical diagnosis. Artif Intell Med 107:101927","journal-title":"Artif Intell Med"},{"issue":"6","key":"1509_CR31","doi-asserted-by":"crossref","first-page":"1020","DOI":"10.1016\/j.jbi.2010.09.008","volume":"43","author":"MA Jahiruddin","year":"2010","unstructured":"Jahiruddin MA, Dey L (2010) A concept-driven biomedical knowledge extraction and visualization framework for conceptualization of text corpora. J Biomed Inform 43(6):1020\u20131035","journal-title":"J Biomed Inform"},{"key":"1509_CR32","doi-asserted-by":"publisher","DOI":"10.1007\/s11276-020-02374-4","author":"W Li","year":"2020","unstructured":"Li W, Zong N, Liu K, Li P, Ma X (2020) A privacy-preserving group decision making expert system for medical diagnosis based on dynamic knowledge base. Wirel Netw. https:\/\/doi.org\/10.1007\/s11276-020-02374-4","journal-title":"Wirel Netw"},{"issue":"2","key":"1509_CR33","doi-asserted-by":"crossref","first-page":"691","DOI":"10.1007\/s11277-018-5722-5","volume":"105","author":"J-C Kim","year":"2018","unstructured":"Kim J-C, Chung K (2018) Associative feature information extraction using text mining from health big data. Wirel Pers Commun 105(2):691\u2013707","journal-title":"Wirel Pers Commun"},{"issue":"1","key":"1509_CR34","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s13755-019-0089-x","volume":"8","author":"T Pham","year":"2020","unstructured":"Pham T, Tao X, Zhang J, Yong J (2020) Constructing a knowledge-based heterogeneous information graph for medical health status classification. Health Inform Sci Syst 8(1):1\u201314","journal-title":"Health Inform Sci Syst"},{"issue":"S1","key":"1509_CR35","doi-asserted-by":"crossref","first-page":"1949","DOI":"10.1007\/s10586-017-0942-0","volume":"22","author":"C-W Song","year":"2017","unstructured":"Song C-W, Jung H, Chung K (2017) Development of a medical big-data mining process using topic modeling. Clust Comput 22(S1):1949\u20131958","journal-title":"Clust Comput"},{"issue":"4","key":"1509_CR36","doi-asserted-by":"crossref","first-page":"2341","DOI":"10.1007\/s11280-020-00810-1","volume":"23","author":"X Tao","year":"2020","unstructured":"Tao X, Pham T, Zhang J, Yong J, Goh WP, Zhang W, Cai Y (2020) Mining health knowledge graph for health risk prediction. World Wide Web 23(4):2341\u20132362","journal-title":"World Wide Web"},{"issue":"3","key":"1509_CR37","doi-asserted-by":"crossref","first-page":"723","DOI":"10.1007\/s00521-018-3931-1","volume":"32","author":"AH Sodhro","year":"2020","unstructured":"Sodhro AH, Malokani AS, Sodhro GH, Muzammal M, Zongwei L (2020) An adaptive QoS computation for medical data processing in intelligent health-care applications. Neural Comput & Applic 32(3):723\u2013734","journal-title":"Neural Comput & Applic"},{"issue":"5","key":"1509_CR38","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s42979-020-00246-4","volume":"1","author":"PB Prince","year":"2020","unstructured":"Prince PB, Lovesum SJ (2020) Privacy enforced access control model for secured data handling in cloud-based pervasive health care system. SN Comput Sci 1(5):1\u20138","journal-title":"SN Comput Sci"},{"key":"1509_CR39","doi-asserted-by":"publisher","unstructured":"Khan, F., & Reyad, O. (2020). Application of intelligent multi agent based systems for E-healthcare security. arXiv preprint arXiv:2004.01256. https:\/\/doi.org\/10.18576\/isl\/080204","DOI":"10.18576\/isl\/080204"}],"updated-by":[{"DOI":"10.1007\/s00779-020-01509-w","type":"retraction","label":"Retraction","source":"publisher","updated":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000}}],"container-title":["Personal and Ubiquitous Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00779-020-01509-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00779-020-01509-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00779-020-01509-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,29]],"date-time":"2024-01-29T03:04:02Z","timestamp":1706497442000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00779-020-01509-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,10]]},"references-count":39,"journal-issue":{"issue":"S1","published-print":{"date-parts":[[2024,2]]}},"alternative-id":["1509"],"URL":"https:\/\/doi.org\/10.1007\/s00779-020-01509-w","relation":{},"ISSN":["1617-4909","1617-4917"],"issn-type":[{"value":"1617-4909","type":"print"},{"value":"1617-4917","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1,10]]},"assertion":[{"value":"13 October 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 December 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 January 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 August 2023","order":4,"name":"change_date","label":"Change Date","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Clarification","order":5,"name":"change_type","label":"Change Type","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"This article was retracted on 31 August 2023.","order":6,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}