{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T03:48:00Z","timestamp":1781754480437,"version":"3.54.5"},"reference-count":59,"publisher":"Springer Science and Business Media LLC","issue":"20","license":[{"start":{"date-parts":[[2023,2,22]],"date-time":"2023-02-22T00:00:00Z","timestamp":1677024000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,2,22]],"date-time":"2023-02-22T00:00:00Z","timestamp":1677024000000},"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":["Multimed Tools Appl"],"published-print":{"date-parts":[[2023,8]]},"DOI":"10.1007\/s11042-023-14562-3","type":"journal-article","created":{"date-parts":[[2023,2,22]],"date-time":"2023-02-22T12:10:18Z","timestamp":1677067818000},"page":"30405-30434","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["A scalable and real-time system for disease prediction using big data processing"],"prefix":"10.1007","volume":"82","author":[{"given":"Abderrahmane","family":"Ed-daoudy","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Khalil","family":"Maalmi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aziza","family":"El Ouaazizi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,2,22]]},"reference":[{"issue":"2","key":"14562_CR1","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1109\/MIS.2014.29","volume":"29","author":"A Abbasi","year":"2014","unstructured":"Abbasi A, Adjeroh D, Dredze M, Paul MJ, Zahedi FM, Zhao H, Walia N, Jain H, Sanvanson P, Shaker R et al (2014) Social media analytics for smart health. IEEE Intell Syst 29(2):60\u201380","journal-title":"IEEE Intell Syst"},{"issue":"2","key":"14562_CR2","first-page":"511","volume":"7","author":"DP Acharjya","year":"2016","unstructured":"Acharjya DP, Ahmed K (2016) A survey on big data analytics: challenges, open research issues and tools. Int J Adv Comput Sci Appl 7(2):511\u2013518","journal-title":"Int J Adv Comput Sci Appl"},{"key":"14562_CR3","doi-asserted-by":"crossref","unstructured":"Agrawal R, Imieli\u0144ski T, Swami A (1993) Mining association rules between sets of items in large databases. In: Acm Sigmod Record, vol 22. ACM, pp 207\u2013216","DOI":"10.1145\/170036.170072"},{"key":"14562_CR4","doi-asserted-by":"crossref","unstructured":"Al Rasyid MUH, Yuwono W, Al Muharom S, Alasiry AH (2016) Building platform application big sensor data for e-health wireless body area network. In: Electronics symposium (IES), 2016 international. IEEE, pp 409\u2013413","DOI":"10.1109\/ELECSYM.2016.7861041"},{"key":"14562_CR5","doi-asserted-by":"crossref","unstructured":"Ali SM, Gupta N, Nayak GK, Lenka RK (2016) Big data visualization: tools and challenges. In: 2016 2nd International conference on contemporary computing and informatics (IC3I). IEEE, pp 656\u2013660","DOI":"10.1109\/IC3I.2016.7918044"},{"key":"14562_CR6","unstructured":"Apache Spark documentation: official webpage of Apache kafka (2017) http:\/\/spark.apache.org\/\/. Online; Accessed 15 Dec 2017"},{"key":"14562_CR7","unstructured":"Apache cassandra: official webpage of Apache cassandra (2017) http:\/\/cassandra.apache.org. Online; Accessed 15 Dec 2017"},{"key":"14562_CR8","unstructured":"Apache kafka: official webpage of Apache kafka (2017) https:\/\/kafka.apache.org\/. Online; Accessed 15 Dec 2017"},{"key":"14562_CR9","unstructured":"Apache spark: official webpage of Apache spark (2017) http:\/\/spark.apache.org\/ Online; Accessed 15 Dec 2017"},{"key":"14562_CR10","unstructured":"Apache zeppelin: official webpage of Apache zeppelin (2017) https:\/\/zeppelin.apache.org. Online; Accessed 15 Dec 2017"},{"key":"14562_CR11","doi-asserted-by":"crossref","unstructured":"Armbrust M, Xin RS, Lian C, Huai Y, Liu D, Bradley JK, Meng X, Kaftan T, Franklin MJ, Ghodsi A et al (2015) Spark sql: relational data processing in spark. In: Proceedings of the 2015 ACM SIGMOD international conference on management of data, pp 1383\u20131394","DOI":"10.1145\/2723372.2742797"},{"issue":"18","key":"14562_CR12","doi-asserted-by":"publisher","first-page":"12145","DOI":"10.1007\/s00500-021-05865-4","volume":"25","author":"S Basheer","year":"2021","unstructured":"Basheer S, Alluhaidan AS, Bivi MA (2021) Real-time monitoring system for early prediction of heart disease using internet of things. Soft Comput 25 (18):12145\u201312158","journal-title":"Soft Comput"},{"key":"14562_CR13","doi-asserted-by":"publisher","DOI":"10.1201\/9781315139470","volume-title":"Classification and regression trees","author":"L Breiman","year":"2017","unstructured":"Breiman L (2017) Classification and regression trees. Routledge, Evanston"},{"key":"14562_CR14","doi-asserted-by":"crossref","unstructured":"Chen H, Chiang RH, Storey VC (2012) Business intelligence and analytics: from big data to big impact. MIS Q:1165\u20131188","DOI":"10.2307\/41703503"},{"key":"14562_CR15","doi-asserted-by":"publisher","first-page":"8869","DOI":"10.1109\/ACCESS.2017.2694446","volume":"5","author":"M Chen","year":"2017","unstructured":"Chen M, Hao Y, Hwang K, Wang L, Wang L (2017) Disease prediction by machine learning over big data from healthcare communities. IEEE Access 5:8869\u20138879","journal-title":"IEEE Access"},{"key":"14562_CR16","doi-asserted-by":"crossref","unstructured":"Condie T, Mineiro P, Polyzotis N, Weimer M (2013) Machine learning on big data. In: Data engineering (ICDE), 2013 IEEE 29th international conference on. IEEE, pp 1242\u20131244","DOI":"10.1109\/ICDE.2013.6544913"},{"issue":"1","key":"14562_CR17","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1145\/1327452.1327492","volume":"51","author":"J Dean","year":"2008","unstructured":"Dean J, Ghemawat S (2008) Mapreduce: simplified data processing on large clusters. Commun ACM 51(1):107\u2013113","journal-title":"Commun ACM"},{"key":"14562_CR18","doi-asserted-by":"crossref","unstructured":"Ed-daoudy A, Maalmi K (2018) Application of machine learning model on streaming health data event in real-time to predict health status using spark. In: 2018 international symposium on advanced electrical and communication technologies (ISAECT). IEEE, pp 1\u20134","DOI":"10.1109\/ISAECT.2018.8618860"},{"key":"14562_CR19","doi-asserted-by":"crossref","unstructured":"Ed-Daoudy A, Maalmi K (2019) Real-time machine learning for early detection of heart disease using big data approach. In: 2019 international conference on wireless technologies, embedded and intelligent systems (WITS). IEEE, pp 1\u20135","DOI":"10.1109\/WITS.2019.8723839"},{"issue":"1","key":"14562_CR20","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1186\/s40537-019-0271-7","volume":"6","author":"A Ed-daoudy","year":"2019","unstructured":"Ed-daoudy A, Maalmi K (2019) A new internet of things architecture for real-time prediction of various diseases using machine learning on big data environment. J Big Data 6(1):104","journal-title":"J Big Data"},{"issue":"5","key":"14562_CR21","doi-asserted-by":"publisher","first-page":"1145","DOI":"10.1007\/s12553-020-00460-3","volume":"10","author":"A Ed-daoudy","year":"2020","unstructured":"Ed-daoudy A, Maalmi K (2020) Real-time heart disease detection and monitoring system based on fast machine learning using spark. Health and Technol 10(5):1145\u20131154","journal-title":"Health and Technol"},{"key":"14562_CR22","doi-asserted-by":"crossref","unstructured":"Fayyad U, Piatetsky-Shapiro G, Smyth P (1996) From data mining to knowledge discovery: an overview. In: Advances in knowledge discovery and data mining. AAAI. MIT Press, pp 1\u201334","DOI":"10.1023\/A:1009792101442"},{"issue":"2","key":"14562_CR23","first-page":"293","volume":"22","author":"D Gao","year":"2014","unstructured":"Gao D, Li W, Cai X, Zhang R, Ouyang Y (2014) Sequential summarization: a full view of twitter trending topics. IEEE\/ACM Transactions on Audio. Speech Lang Process (TASLP) 22(2):293\u2013302","journal-title":"Speech Lang Process (TASLP)"},{"issue":"12","key":"14562_CR24","doi-asserted-by":"publisher","first-page":"293","DOI":"10.3390\/sym9120293","volume":"9","author":"S Han","year":"2017","unstructured":"Han S, Kim K, Cha E, Kim K, Shon H (2017) System framework for cardiovascular disease prediction based on big data technology. Symmetry 9(12):293","journal-title":"Symmetry"},{"key":"14562_CR25","doi-asserted-by":"crossref","unstructured":"Hassan M, Bansal SK (2018) Semantic data querying over nosql databases with apache spark. In: 2018 IEEE international conference on information reuse and integration (IRI). IEEE, pp 364\u2013371","DOI":"10.1109\/IRI.2018.00061"},{"key":"14562_CR26","doi-asserted-by":"crossref","unstructured":"Hazarika AV, Ram GJSR, Jain E (2017) Performance comparision of hadoop and spark engine. In: I-SMAC (IoT in social, mobile, analytics and cloud)(I-SMAC), 2017 international conference on. IEEE, pp 671\u2013674","DOI":"10.1109\/I-SMAC.2017.8058263"},{"key":"14562_CR27","doi-asserted-by":"crossref","unstructured":"Hazarika AV, Ram GJSR, Jain E (2017) Performance comparision of hadoop and spark engine. In: I-SMAC (IoT in social, mobile, analytics and cloud)(I-SMAC), 2017 international conference on. IEEE, pp 671\u2013674","DOI":"10.1109\/I-SMAC.2017.8058263"},{"key":"14562_CR28","unstructured":"Heart disease: UCI (2020) archive.ics.uci.edu\/ml\/datasets\/heart+disease. Online; Accessed 15 Dec 2017"},{"issue":"4","key":"14562_CR29","doi-asserted-by":"publisher","first-page":"2449","DOI":"10.1007\/s10916-011-9711-4","volume":"36","author":"ST Heydari","year":"2012","unstructured":"Heydari ST, Ayatollahi SMT, Zare N (2012) Comparison of artificial neural networks with logistic regression for detection of obesity. J Med Syst 36 (4):2449\u20132454","journal-title":"J Med Syst"},{"key":"14562_CR30","unstructured":"Ho TK (1995) Random decision forests (rdf). In: Proceedings of the 3rd international conference on document analysis and recognition, pp 278\u2013282"},{"key":"14562_CR31","doi-asserted-by":"crossref","unstructured":"Ismail A, Shehab A, El-Henawy I (2019) Healthcare analysis in smart big data analytics: reviews, challenges and recommendations. In: Security in smart cities: models, applications, and challenges. Springer, pp 27\u201345","DOI":"10.1007\/978-3-030-01560-2_2"},{"key":"14562_CR32","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1016\/j.csbj.2016.12.005","volume":"15","author":"I Kavakiotis","year":"2017","unstructured":"Kavakiotis I, Tsave O, Salifoglou A, Maglaveras N, Vlahavas I, Chouvarda I (2017) Machine learning and data mining methods in diabetes research. Comput Struct Biotechnol J 15:104\u2013116","journal-title":"Comput Struct Biotechnol J"},{"key":"14562_CR33","unstructured":"Kira K, Rendell LA et al (1992) The feature selection problem: traditional methods and a new algorithm. In: Aaai, vol 2 pp 129\u2013134"},{"issue":"1","key":"14562_CR34","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1186\/s40537-019-0210-7","volume":"6","author":"T Kolajo","year":"2019","unstructured":"Kolajo T, Daramola O, Adebiyi A (2019) Big data stream analysis: a systematic literature review. J Big Data 6(1):47","journal-title":"J Big Data"},{"key":"14562_CR35","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1016\/j.compeleceng.2017.09.001","volume":"65","author":"PM Kumar","year":"2018","unstructured":"Kumar PM, Gandhi UD (2018) A novel three-tier internet of things architecture with machine learning algorithm for early detection of heart diseases. Comput Electr Eng 65:222\u2013235","journal-title":"Comput Electr Eng"},{"issue":"2","key":"14562_CR36","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1145\/1773912.1773922","volume":"44","author":"A Lakshman","year":"2010","unstructured":"Lakshman A, Malik P (2010) Cassandra: a decentralized structured storage system. ACM SIGOPS Oper Syst Rev 44(2):35\u201340","journal-title":"ACM SIGOPS Oper Syst Rev"},{"key":"14562_CR37","doi-asserted-by":"crossref","unstructured":"Lee K, Agrawal A, Choudhary A (2013) Real-time disease surveillance using twitter data: demonstration on flu and cancer. In: Proceedings of the 19th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 1474\u20131477","DOI":"10.1145\/2487575.2487709"},{"issue":"S9","key":"14562_CR38","doi-asserted-by":"publisher","first-page":"326","DOI":"10.17485\/ijst\/2015\/v8iS9\/65579","volume":"8","author":"L Mallu","year":"2015","unstructured":"Mallu L, Ezhilarasie R (2015) Live migration of virtual machines in cloud environment: a survey. Indian J Sci Technol 8(S9):326\u2013332","journal-title":"Indian J Sci Technol"},{"issue":"2-4","key":"14562_CR39","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1504\/IJBET.2017.087722","volume":"25","author":"G Manogaran","year":"2017","unstructured":"Manogaran G, Lopez D (2017) A survey of big data architectures and machine learning algorithms in healthcare. Int J Biomed Eng Technol 25 (2-4):182\u2013211","journal-title":"Int J Biomed Eng Technol"},{"key":"14562_CR40","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1016\/j.future.2017.10.045","volume":"82","author":"G Manogaran","year":"2018","unstructured":"Manogaran G, Varatharajan R, Lopez D, Kumar PM, Sundarasekar R, Thota C (2018) A new architecture of internet of things and big data ecosystem for secured smart healthcare monitoring and alerting system. Futur Gener Comput Syst 82:375\u2013387","journal-title":"Futur Gener Comput Syst"},{"issue":"1","key":"14562_CR41","first-page":"1235","volume":"17","author":"X Meng","year":"2016","unstructured":"Meng X, Bradley J, Yavuz B, Sparks E, Venkataraman S, Liu D, Freeman J, Tsai D, Amde M, Owen S et al (2016) Mllib: machine learning in apache spark. J Mach Learn Res 17(1):1235\u20131241","journal-title":"J Mach Learn Res"},{"issue":"2","key":"14562_CR42","doi-asserted-by":"publisher","first-page":"1273","DOI":"10.1007\/s11227-020-03328-5","volume":"77","author":"A Mostafaeipour","year":"2021","unstructured":"Mostafaeipour A, Jahangard Rafsanjani A, Ahmadi M, Arockia Dhanraj J (2021) Investigating the performance of hadoop and spark platforms on machine learning algorithms. J Supercomput 77(2):1273\u20131300","journal-title":"J Supercomput"},{"issue":"1","key":"14562_CR43","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1186\/s40537-019-0215-2","volume":"6","author":"H Nasiri","year":"2019","unstructured":"Nasiri H, Nasehi S, Goudarzi M (2019) Evaluation of distributed stream processing frameworks for iot applications in smart cities. J Big Data 6 (1):52","journal-title":"J Big Data"},{"issue":"9","key":"14562_CR44","doi-asserted-by":"publisher","first-page":"3353","DOI":"10.1016\/j.camwa.2011.08.050","volume":"62","author":"S Pourahmad","year":"2011","unstructured":"Pourahmad S, Ayatollahi SMT, Taheri SM, Agahi ZH (2011) Fuzzy logistic regression based on the least squares approach with application in clinical studies. Comput Math Appl 62(9):3353\u20133365","journal-title":"Comput Math Appl"},{"key":"14562_CR45","doi-asserted-by":"crossref","unstructured":"Rallapalli S, Suryakanthi T (2016) Predicting the risk of diabetes in big data electronic health records by using scalable random forest classification algorithm. In: Advances in computing and communication engineering (ICACCE), 2016 international conference on. IEEE, pp 281\u2013284","DOI":"10.1109\/ICACCE.2016.8073762"},{"issue":"1","key":"14562_CR46","first-page":"8","volume":"18","author":"MM Rathore","year":"2017","unstructured":"Rathore MM, Paul A, Ahmad A, Anisetti M, Jeon G (2017) Hadoop-based intelligent care system (hics): analytical approach for big data in iot. ACM Trans Internet Technol (TOIT) 18(1):8","journal-title":"ACM Trans Internet Technol (TOIT)"},{"issue":"11","key":"14562_CR47","doi-asserted-by":"publisher","first-page":"1078","DOI":"10.3390\/e21111078","volume":"21","author":"F Rustam","year":"2019","unstructured":"Rustam F, Ashraf I, Mehmood A, Ullah S, Choi GS (2019) Tweets classification on the base of sentiments for us airline companies. Entropy 21(11):1078","journal-title":"Entropy"},{"issue":"2-4","key":"14562_CR48","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1504\/IJBET.2017.082655","volume":"23","author":"P Sampath","year":"2017","unstructured":"Sampath P, Tamilselvi S, Kumar NS, Lavanya S, Eswari T (2017) Diabetic data analysis in healthcare using hadoop architecture over big data. Int J Biomed Eng Technol 23(2-4):137\u2013147","journal-title":"Int J Biomed Eng Technol"},{"key":"14562_CR49","doi-asserted-by":"crossref","unstructured":"Sreejith S, Rahul S, Jisha R (2016) A real time patient monitoring system for heart disease prediction using random forest algorithm. In: Advances in signal processing and intelligent recognition systems. Springer, pp 485\u2013500","DOI":"10.1007\/978-3-319-28658-7_41"},{"key":"14562_CR50","unstructured":"Ta V-D, Liu C-M, Nkabinde GW (2016) Big data stream computing in healthcare real-time analytics. In: Cloud computing and big data analysis (ICCCBDA), 2016 IEEE international conference on. IEEE, pp 37\u201342"},{"key":"14562_CR51","first-page":"33","volume":"2013","author":"JD Trigo","year":"2013","unstructured":"Trigo JD, Eguzkiza A, Mart\u00ednez-Espronceda M, Serrano L (2013) A cardiovascular patient follow-up system using twitter and hl7. Comput Cardiol 2013:33\u201336","journal-title":"Comput Cardiol"},{"key":"14562_CR52","doi-asserted-by":"crossref","unstructured":"Veiga J, Exp\u00f3sito RR, Pardo XC, Taboada GL, Tourifio J (2016) Performance evaluation of big data frameworks for large-scale data analytics. In: 2016 IEEE international conference on big data (Big Data). IEEE, pp 424\u2013431","DOI":"10.1109\/BigData.2016.7840633"},{"issue":"8","key":"14562_CR53","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1007\/s10916-019-1398-y","volume":"43","author":"R Venkatesh","year":"2019","unstructured":"Venkatesh R, Balasubramanian C, Kaliappan M (2019) Development of big data predictive analytics model for disease prediction using machine learning technique. J Med Syst 43(8):272","journal-title":"J Med Syst"},{"key":"14562_CR54","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1016\/j.compenvurbsys.2015.12.001","volume":"59","author":"M Wachowicz","year":"2016","unstructured":"Wachowicz M, Arteaga MD, Cha S, Bourgeois Y (2016) Developing a streaming data processing workflow for querying space-time activities from geotagged tweets. Comput Environ Urban Syst 59:256\u2013268","journal-title":"Comput Environ Urban Syst"},{"key":"14562_CR55","unstructured":"Weka: Official webpage of Weka (2017) https:\/\/www.cs.waikato.ac.nz\/ml\/weka\/. Online; Accessed 15 Dec 2017"},{"key":"14562_CR56","doi-asserted-by":"crossref","unstructured":"Yan K, You X, Ji X, Yin G, Yang F (2016) A hybrid outlier detection method for health care big data. In: Big data and cloud computing (BDCloud), social computing and networking (SocialCom), sustainable computing and communications (SustainCom)(BDCloud-SocialCom-SustainCom), 2016 IEEE international conferences on. IEEE, pp 157\u2013162","DOI":"10.1109\/BDCloud-SocialCom-SustainCom.2016.34"},{"key":"14562_CR57","doi-asserted-by":"crossref","unstructured":"Zaharia M, Das T, Li H, Hunter T, Shenker S, Stoica I (2013) Discretized streams: fault-tolerant streaming computation at scale. In: Proceedings of the 24th ACM symposium on operating systems principles, pp 423\u2013438","DOI":"10.1145\/2517349.2522737"},{"key":"14562_CR58","doi-asserted-by":"crossref","unstructured":"Zaldumbide J, Sinnott RO (2015) Identification and validation of real-time health events through social media. In: Data science and data intensive systems (DSDIS), 2015 IEEE international conference on. IEEE, pp 9\u201316","DOI":"10.1109\/DSDIS.2015.27"},{"key":"14562_CR59","doi-asserted-by":"crossref","unstructured":"Zhao T, Ni H, Zhou X, Qiang L, Zhang D, Yu Z (2014) Detecting abnormal patterns of daily activities for the elderly living alone. In: International conference on health information science. Springer, pp 95\u2013108","DOI":"10.1007\/978-3-319-06269-3_11"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-14562-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-023-14562-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-14562-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,26]],"date-time":"2023-07-26T13:41:44Z","timestamp":1690378904000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-023-14562-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,22]]},"references-count":59,"journal-issue":{"issue":"20","published-print":{"date-parts":[[2023,8]]}},"alternative-id":["14562"],"URL":"https:\/\/doi.org\/10.1007\/s11042-023-14562-3","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,2,22]]},"assertion":[{"value":"26 March 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 June 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 January 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 February 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"<!--Emphasis Type='Bold' removed-->Ethics approval and consent to participate"}},{"value":"The authors declare that they have no conflict of interest.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"<!--Emphasis Type='Bold' removed-->Conflict of Interests"}}]}}