{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T02:46:14Z","timestamp":1765507574398,"version":"3.48.0"},"publisher-location":"Singapore","reference-count":17,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819632435"},{"type":"electronic","value":"9789819632442"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-981-96-3244-2_41","type":"book-chapter","created":{"date-parts":[[2025,6,9]],"date-time":"2025-06-09T00:49:15Z","timestamp":1749430155000},"page":"517-529","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Gray Wolf Optimizer with\u00a0Machine Learning Enabled Diabetes Mellitus Recognition Model"],"prefix":"10.1007","author":[{"given":"Indresh Kumar","family":"Gupta","sequence":"first","affiliation":[]},{"given":"Awanish Kumar","family":"Mishra","sequence":"additional","affiliation":[]},{"given":"Shruti","family":"Patil","sequence":"additional","affiliation":[]},{"given":"Rahul","family":"Mishra","sequence":"additional","affiliation":[]},{"given":"Joel J. P. C.","family":"Rodrigues","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,6,10]]},"reference":[{"issue":"22","key":"41_CR1","doi-asserted-by":"publisher","first-page":"8685","DOI":"10.3390\/ijms21228685","volume":"21","author":"F Arroyave","year":"2020","unstructured":"Arroyave F, Monta\u00f1o D, Lizcano F (2020) Diabetes mellitus is a chronic disease that can benefit from therapy with induced pluripotent stem cells. Int J Mol Sci 21(22):8685","journal-title":"Int J Mol Sci"},{"key":"41_CR2","doi-asserted-by":"crossref","unstructured":"American Diabetes Association (2003) Evidence-based nutrition principles and recommendations for the treatment and prevention of diabetes and related complications. Diabetes Care 26(suppl_1):s51\u2013s61","DOI":"10.2337\/diacare.26.2007.S51"},{"issue":"4","key":"41_CR3","doi-asserted-by":"publisher","first-page":"457","DOI":"10.2174\/1573399816666201103143818","volume":"17","author":"RA Babel","year":"2021","unstructured":"Babel RA, Dandekar MP (2021) A review on cellular and molecular mechanisms linked to the development of diabetes complications. Curr Diab Rev 17(4):457\u2013473","journal-title":"Curr Diab Rev"},{"key":"41_CR4","unstructured":"Atlas D (2015) International diabetes federation. In: IDF diabetes Atlas, 7th edn. International Diabetes Federation, Brussels, Belgium, 33(2)"},{"issue":"1","key":"41_CR5","doi-asserted-by":"publisher","first-page":"3923","DOI":"10.1038\/s41467-020-17419-7","volume":"11","author":"JG Richens","year":"2020","unstructured":"Richens JG, Lee CM, Johri S (2020) Improving the accuracy of medical diagnosis with causal machine learning. Nat Commun 11(1):3923","journal-title":"Nat Commun"},{"key":"41_CR6","doi-asserted-by":"crossref","unstructured":"Wee BF, Hwong HH, Sivakumar S, Lim KH, Wong WK (2023) Deep learning and SMOTEENN-based univariate feature selection approaches for diabetes classification. In: 2023 International conference on digital applications, transformation & economy (ICDATE). IEEE, pp 1\u20135","DOI":"10.1109\/ICDATE58146.2023.10248856"},{"issue":"1","key":"41_CR7","doi-asserted-by":"publisher","first-page":"453","DOI":"10.1007\/s10462-021-10037-9","volume":"55","author":"A Thakkar","year":"2022","unstructured":"Thakkar A, Lohiya R (2022) A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions. Artif Intell Rev 55(1):453\u2013563","journal-title":"Artif Intell Rev"},{"key":"41_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12967-020-02658-5","volume":"18","author":"M Subramanian","year":"2020","unstructured":"Subramanian M, Wojtusciszyn A, Favre L, Boughorbel S, Shan J, Letaief KB, Pitteloud N, Chouchane L (2020) Precision medicine in the era of artificial intelligence: implications in chronic disease management. J Transl Med 18:1\u201312","journal-title":"J Transl Med"},{"key":"41_CR9","doi-asserted-by":"publisher","first-page":"1578","DOI":"10.1016\/j.procs.2018.05.122","volume":"132","author":"D Sisodia","year":"2018","unstructured":"Sisodia D, Sisodia DS (2018) Prediction of diabetes using classification algorithms. Procedia Comput Sci 132:1578\u20131585","journal-title":"Procedia Comput Sci"},{"key":"41_CR10","doi-asserted-by":"crossref","unstructured":"Sarwar MA, Kamal N, Hamid W, Shah MA (2018) Prediction of diabetes using machine learning algorithms in healthcare. In: 2018 24th International conference on automation and computing (ICAC). IEEE, pp 1\u20136","DOI":"10.23919\/IConAC.2018.8748992"},{"key":"41_CR11","doi-asserted-by":"publisher","first-page":"1365","DOI":"10.1109\/ACCESS.2018.2884249","volume":"7","author":"S Perveen","year":"2018","unstructured":"Perveen S, Shahbaz M, Keshavjee K, Guergachi A (2018) Metabolic syndrome and development of diabetes mellitus: predictive modeling based on machine learning techniques. IEEE Access 7:1365\u20131375","journal-title":"IEEE Access"},{"issue":"8","key":"41_CR12","doi-asserted-by":"publisher","first-page":"5105","DOI":"10.1109\/TII.2021.3124468","volume":"18","author":"Z Wang","year":"2021","unstructured":"Wang Z, Xiao X, Yang C, Kikkawa T (2021) Combined approach to estimate blood glucose level in noninvasive monitoring: ultra-wide band microwave and cascaded general regression neural network. IEEE Trans Ind Inf 18(8):5105\u20135114","journal-title":"IEEE Trans Ind Inf"},{"key":"41_CR13","doi-asserted-by":"crossref","unstructured":"Awotunde JB, Misra S, Pham QT (2022) An enhanced diabetes mellitus prediction using feature selection-based type-2 fuzzy model. In: International conference on future data and security engineering. Springer Nature Singapore, Singapore, pp 625\u2013639","DOI":"10.1007\/978-981-19-8069-5_43"},{"key":"41_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.105524","volume":"97","author":"D Singh","year":"2020","unstructured":"Singh D, Singh B (2020) Investigating the impact of data normalization on classification performance. Appl Soft Comput 97:105524","journal-title":"Appl Soft Comput"},{"issue":"6","key":"41_CR15","doi-asserted-by":"publisher","first-page":"3208","DOI":"10.3390\/su13063208","volume":"13","author":"Y Li","year":"2021","unstructured":"Li Y, Lin X, Liu J (2021) An improved gray wolf optimization algorithm to solve engineering problems. Sustainability 13(6):3208","journal-title":"Sustainability"},{"key":"41_CR16","doi-asserted-by":"publisher","first-page":"36963","DOI":"10.1109\/ACCESS.2022.3164669","volume":"10","author":"A Al Bataineh","year":"2022","unstructured":"Al Bataineh A, Kaur D, Jalali SMJ (2022) Multi-layer perceptron training optimization using nature inspired computing. IEEE Access 10:36963\u201336977","journal-title":"IEEE Access"},{"key":"41_CR17","doi-asserted-by":"crossref","unstructured":"Gupta IK, Choubey A, Choubey S (2017) Particle swarm optimization with selective multiple inertia weights. In: 2017 8th International conference on computing, communication and networking technologies (ICCCNT). IEEE, pp 1\u20136","DOI":"10.1109\/ICCCNT.2017.8204132"}],"container-title":["Lecture Notes in Networks and Systems","Proceedings of Fourth International Conference on Computing and Communication Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-3244-2_41","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T02:42:41Z","timestamp":1765507361000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-3244-2_41"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819632435","9789819632442"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-3244-2_41","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"10 June 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCCN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computing and Communication Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Manchester","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icccn2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.icccn.co.uk\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}