{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T01:01:29Z","timestamp":1780621289087,"version":"3.54.1"},"publisher-location":"Singapore","reference-count":20,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819500260","type":"print"},{"value":"9789819500277","type":"electronic"}],"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\/978-981-95-0027-7_18","type":"book-chapter","created":{"date-parts":[[2025,7,16]],"date-time":"2025-07-16T14:14:57Z","timestamp":1752675297000},"page":"201-212","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Prediction Method for Adult Height of Children Based on ACPSO-SVR"],"prefix":"10.1007","author":[{"given":"Tianxiang","family":"He","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ziqi","family":"Qian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenbin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinyue","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Keji","family":"Mao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,7,17]]},"reference":[{"issue":"4","key":"18_CR1","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1159\/000500087","volume":"91","author":"CJ Child","year":"2019","unstructured":"Child, C.J., Quigley, C.A., Cutler, G.B., Jr., Moore, W.V., Wintergerst, K.A., Ross, J.L., et al.: Height gain and safety outcomes in growth hormone-treated children with idiopathic short stature: experience from a prospective observational study. Hormone Res. Paediatr. 91(4), 241\u2013251 (2019)","journal-title":"Hormone Res. Paediatr."},{"issue":"5","key":"18_CR2","first-page":"348","volume":"34","author":"YH Hu","year":"2021","unstructured":"Hu, Y.H., Wang, X.Y., Yao, H.Y., Zhang, J., Yin, D.P., Feng, G.S.: Increases in height among Chinese children and adolescents by gender: an age-period-cohort analysis. Biomed. Environ. Sci. 34(5), 348\u2013355 (2021)","journal-title":"Biomed. Environ. Sci."},{"key":"18_CR3","doi-asserted-by":"publisher","first-page":"31234","DOI":"10.1109\/ACCESS.2020.2973418","volume":"8","author":"JW Liu","year":"2020","unstructured":"Liu, J.W., Chen, S.H., Huang, Y.C., Wang, C.T.: An Intelligent identification model for the selection of elite rowers by incorporating internet-of-things technology. IEEE Access 8, 31234\u201331244 (2020)","journal-title":"IEEE Access"},{"key":"18_CR4","doi-asserted-by":"crossref","unstructured":"Bayley, N., Pinneau, S.R.: Tables for predicting adult height from skeletal age: revised for use with the greulich\u2013pyle hand standards. J. Pediatr. 40, 423\u2013441 (1952)","DOI":"10.1016\/S0022-3476(52)80205-7"},{"issue":"2","key":"18_CR5","doi-asserted-by":"publisher","first-page":"310","DOI":"10.1302\/0301-620X.84B2.0840310c","volume":"84","author":"H Carty","year":"2002","unstructured":"Carty, H.: Assessment of skeletal maturity and prediction of adult height (TW3 method). J. Bone Joint Surg. Br. 84(2), 310\u2013311 (2002)","journal-title":"J. Bone Joint Surg. Br."},{"issue":"7","key":"18_CR6","first-page":"773","volume":"46","author":"JY Pan","year":"2018","unstructured":"Pan, J.Y., Zhang, X.L., Xu, D.: Application of modified TW3 adult height prediction method in Chinese children. Mod. Med. J. 46(7), 773\u2013780 (2018)","journal-title":"Mod. Med. J."},{"issue":"1","key":"18_CR7","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1109\/TMI.2008.926067","volume":"28","author":"HH Thodberg","year":"2009","unstructured":"Thodberg, H.H., Kreiborg, S., Juul, A., Pedersen, K.D.: The BoneXpert method for automated determination of skeletal maturity. IEEE Trans. Med. Imaging 28(1), 52\u201366 (2009)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"18_CR8","volume-title":"Chinese Standard of Wrist Bone Age Evaluation for Children","author":"W Shao","year":"2018","unstructured":"Shao, W.: Chinese Standard of Wrist Bone Age Evaluation for Children. Peking Union Medical College Press, Beijing (2018)"},{"issue":"7","key":"18_CR9","doi-asserted-by":"publisher","first-page":"e2700","DOI":"10.1210\/clinem\/dgab093","volume":"106","author":"M Shmoish","year":"2021","unstructured":"Shmoish, M., German, A., Devir, N., Hecht, A., Butler, G., Niklasson, A., et al.: Prediction of adult height by machine learning technique. J. Clin. Endocrinol. Metab. 106(7), e2700\u2013e2710 (2021)","journal-title":"J. Clin. Endocrinol. Metab."},{"issue":"24","key":"18_CR10","doi-asserted-by":"publisher","first-page":"5447","DOI":"10.3390\/app9245447","volume":"9","author":"JR Cordeiro","year":"2019","unstructured":"Cordeiro, J.R., Postolache, O., Ferreira, J.C.: Child\u2019s target height prediction evolution. Appl. Sci. 9(24), 5447 (2019)","journal-title":"Appl. Sci."},{"issue":"1","key":"18_CR11","first-page":"7843455","volume":"2022","author":"L Chen","year":"2022","unstructured":"Chen, L., Fan, X., Mao, K., Tolba, A., Alqahtani, F., Ahmed, A.M.: Study of multidimensional and high-precision height model of youth based on multilayer perceptron. Comput. Intell. Neurosci. 2022(1), 7843455 (2022)","journal-title":"Comput. Intell. Neurosci."},{"issue":"2","key":"18_CR12","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0281960","volume":"18","author":"M Mlakar","year":"2023","unstructured":"Mlakar, M., et al.: Adult height prediction using the growth curve comparison method. PLoS ONE 18(2), e0281960 (2023)","journal-title":"PLoS ONE"},{"key":"18_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2022.109690","volume":"130","author":"X He","year":"2022","unstructured":"He, X., Che, J.: Unified whale optimization algorithm based multi-kernel SVR ensemble learning for wind speed forecasting. Appl. Soft Comput. 130, 109690 (2022)","journal-title":"Appl. Soft Comput."},{"key":"18_CR14","doi-asserted-by":"publisher","first-page":"10031","DOI":"10.1109\/ACCESS.2022.3142859","volume":"10","author":"TM Shami","year":"2022","unstructured":"Shami, T.M., El-Saleh, A.A., Alswaitti, M., Al-Tashi, Q., Summakieh, M.A., Mirjalili, S.: Particle swarm optimization: a comprehensive survey. IEEE Access 10, 10031\u201310061 (2022)","journal-title":"IEEE Access"},{"key":"18_CR15","doi-asserted-by":"publisher","first-page":"4047","DOI":"10.1007\/s00500-017-2615-6","volume":"22","author":"W Qian","year":"2018","unstructured":"Qian, W., Li, M.: Convergence analysis of standard particle swarm optimization algorithm and its improvement. Soft. Comput. 22, 4047\u20134070 (2018)","journal-title":"Soft. Comput."},{"key":"18_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2022.101177","volume":"75","author":"A Wadhwa","year":"2022","unstructured":"Wadhwa, A., Thakur, M.K.: Most significant hotspot detection using improved particle swarm optimizers. Swarm Evol. Comput. 75, 101177 (2022)","journal-title":"Swarm Evol. Comput."},{"key":"18_CR17","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1016\/j.ins.2017.09.015","volume":"422","author":"K Chen","year":"2018","unstructured":"Chen, K., Zhou, F., Yin, L., Wang, S., Wang, Y., Wan, F.: A hybrid particle swarm optimizer with sine cosine acceleration coefficients. Inf. Sci. 422, 218\u2013241 (2018)","journal-title":"Inf. Sci."},{"key":"18_CR18","doi-asserted-by":"publisher","first-page":"9701","DOI":"10.1007\/s00500-018-3536-8","volume":"23","author":"M Ghasemi","year":"2019","unstructured":"Ghasemi, M., Akbari, E., Rahimnejad, A., Razavi, S.E., Ghavidel, S., Li, L.: Phasor particle swarm optimization: a simple and efficient variant of PSO. Soft. Comput. 23, 9701\u20139718 (2019)","journal-title":"Soft. Comput."},{"issue":"7","key":"18_CR19","doi-asserted-by":"publisher","first-page":"692","DOI":"10.1007\/s12098-021-04009-8","volume":"89","author":"D Choukair","year":"2022","unstructured":"Choukair, D., H\u00fcckmann, A., Mittnacht, J., Breil, T., Schenk, J.P., Alrajab, A., et al.: Near-adult heights and adult height predictions using automated and conventional Greulich-Pyle bone age determinations in children with chronic endocrine diseases. Indian J. Pediatr.Pediatr. 89(7), 692\u2013698 (2022)","journal-title":"Indian J. Pediatr.Pediatr."},{"issue":"23","key":"18_CR20","first-page":"4262","volume":"27","author":"Y Lei","year":"2018","unstructured":"Lei, Y.: Correlation analysis between BMI and finger and carpal bone age in children. Henan Med. Res. 27(23), 4262\u20134263 (2018)","journal-title":"Henan Med. Res."}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-0027-7_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T00:22:21Z","timestamp":1780618941000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-0027-7_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819500260","9789819500277"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-0027-7_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"17 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ningbo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/icg\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}