{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T15:38:18Z","timestamp":1761061098451,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030535513"},{"type":"electronic","value":"9783030535520"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-53552-0_3","type":"book-chapter","created":{"date-parts":[[2020,7,17]],"date-time":"2020-07-17T16:50:23Z","timestamp":1595004623000},"page":"16-26","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Physical Activity as a Risk Factor in the Progression of Osteoarthritis: A Machine Learning Perspective"],"prefix":"10.1007","author":[{"given":"Antonios","family":"Alexos","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Serafeim","family":"Moustakidis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christos","family":"Kokkotis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dimitrios","family":"Tsaopoulos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,7,18]]},"reference":[{"issue":"1","key":"3_CR1","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45(1), 5\u201332 (2001). \nhttps:\/\/doi.org\/10.1023\/A:1010933404324","journal-title":"Mach. Learn."},{"key":"3_CR2","unstructured":"Chen, C., Breiman, L.: Using Random Forest to Learn Imbalanced Data. University of California, Berkeley (2004)"},{"key":"3_CR3","doi-asserted-by":"crossref","unstructured":"Christodoulou, E., Moustakidis, S., Papandrianos, N., Tsaopoulos, D., Papageorgiou, E.: Exploring deep learning capabilities in knee osteoarthritis case study for classification. In: 2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA), pp. 1\u20136. IEEE (2019)","DOI":"10.1109\/IISA.2019.8900714"},{"issue":"3","key":"3_CR4","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1023\/A:1022627411411","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes, C., Vapnik, V.: Support-vector networks. Mach. Learn. 20(3), 273\u2013297 (1995). \nhttps:\/\/doi.org\/10.1023\/A:1022627411411","journal-title":"Mach. Learn."},{"issue":"1","key":"3_CR5","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1109\/TIT.1967.1053964","volume":"13","author":"T Cover","year":"2006","unstructured":"Cover, T., Hart, P.: Nearest neighbor pattern classification. IEEE Trans. Inf. Theor. 13(1), 21\u201327 (2006). \nhttps:\/\/doi.org\/10.1109\/TIT.1967.1053964","journal-title":"IEEE Trans. Inf. Theor."},{"key":"3_CR6","doi-asserted-by":"publisher","unstructured":"Freedson, P., Melanson, E., Sirard, J.: Calibration of the computer science and applications, inc. accelerometer. Med. Sci. Sports Exercise 30(5), 777\u2013781 (1998). \nhttps:\/\/doi.org\/10.1097\/00005768-199805000-00021","DOI":"10.1097\/00005768-199805000-00021"},{"key":"3_CR7","doi-asserted-by":"publisher","unstructured":"Lazzarini, N., et al.: A machine learning approach for the identification of new biomarkers for knee osteoarthritis development in overweight and obese women. Osteoarthritis Cartilage 25 (2017). \nhttps:\/\/doi.org\/10.1016\/j.joca.2017.09.001","DOI":"10.1016\/j.joca.2017.09.001"},{"key":"3_CR8","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.clinbiomech.2017.06.001","volume":"47","author":"M Long","year":"2017","unstructured":"Long, M., Papi, E., Duffell, L., McGregor, A.: Predicting knee osteoarthritis risk in injured populations. Clin. Biomech. 47, 87\u201395 (2017). \nhttps:\/\/doi.org\/10.1016\/j.clinbiomech.2017.06.001","journal-title":"Clin. Biomech."},{"key":"3_CR9","doi-asserted-by":"crossref","unstructured":"Moustakidis, S., Christodoulou, E., Papageorgiou, E., Kokkotis, C., Papandrianos, N., Tsaopoulos, D.: Application of machine intelligence for osteoarthritis classification: a classical implementation and a quantum perspective. Quantum Mach. Intell. 1\u201314 (2019)","DOI":"10.1007\/s42484-019-00008-3"},{"issue":"10","key":"3_CR10","doi-asserted-by":"publisher","first-page":"1145","DOI":"10.1016\/j.medengphy.2010.08.006","volume":"32","author":"S Moustakidis","year":"2010","unstructured":"Moustakidis, S., Theocharis, J., Giakas, G.: A fuzzy decision tree-based svm classifier for assessing osteoarthritis severity using ground reaction force measurements. Med. Eng. Phys. 32(10), 1145\u20131160 (2010)","journal-title":"Med. Eng. Phys."},{"key":"3_CR11","doi-asserted-by":"publisher","unstructured":"Phinyomark, A., Osis, S., Hettinga, B., Kobsar, D., Ferber, R.: Gender differences in gait kinematics for patients with knee osteoarthritis. BMC Musculoskeletal Disorders 17 (2016). \nhttps:\/\/doi.org\/10.1186\/s12891-016-1013-z","DOI":"10.1186\/s12891-016-1013-z"},{"issue":"1","key":"3_CR12","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1023\/A:1022643204877","volume":"1","author":"JR Quinlan","year":"1986","unstructured":"Quinlan, J.R.: Induction of decision trees. Mach. Learn. 1(1), 81\u2013106 (1986). \nhttps:\/\/doi.org\/10.1023\/A:1022643204877","journal-title":"Mach. Learn."},{"issue":"1","key":"3_CR13","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1109\/TSMCA.2009.2029559","volume":"40","author":"C Seiffert","year":"2010","unstructured":"Seiffert, C., Khoshgoftaar, T.M., Van Hulse, J., Napolitano, A.: Rusboost: a hybrid approach to alleviating class imbalance. Trans. Sys. Man Cyber. Part A 40(1), 185\u2013197 (2010). \nhttps:\/\/doi.org\/10.1109\/TSMCA.2009.2029559","journal-title":"Trans. Sys. Man Cyber. Part A"},{"key":"3_CR14","doi-asserted-by":"crossref","unstructured":"Swartz, A.M., Strath, S.J., BASSETT, D.R., O\u2019BRIEN, W.L., King, G.A., Ainsworth, B.E.: Estimation of energy expenditure using CSA accelerometers at hip and wrist sites. Med. Sci. Sports Exercise 32(9), S450\u2013S456 (2000)","DOI":"10.1097\/00005768-200009001-00003"},{"issue":"1","key":"3_CR15","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1249\/mss.0b013e31815a51b3","volume":"40","author":"RP Troiano","year":"2008","unstructured":"Troiano, R.P., Berrigan, D., Dodd, K.W., Masse, L.C., Tilert, T., McDowell, M.: Physical activity in the United States measured by accelerometer. Med. Sci. Sports Exercise 40(1), 181\u2013188 (2008)","journal-title":"Med. Sci. Sports Exercise"},{"key":"3_CR16","doi-asserted-by":"publisher","unstructured":"Vendittoli, P.A., Ouakrim, Y., Fuentes, A., Mitiche, A., Hagemeister, N., de Guise, J.: Mechanical biomarkers of medial compartment knee osteoarthritis diagnosis and severity grading: discovery phase. J. Biomech. 52 (2016). \nhttps:\/\/doi.org\/10.1016\/j.jbiomech.2016.12.022","DOI":"10.1016\/j.jbiomech.2016.12.022"},{"key":"3_CR17","doi-asserted-by":"publisher","unstructured":"Yoo, T., Kim, D.W., Choi, S., Oh, E., Park, J.S.: Simple scoring system and artificial neural network for knee osteoarthritis risk prediction: a cross-sectional study. PloS One 11, e0148724 (2016). \nhttps:\/\/doi.org\/10.1371\/journal.pone.0148724","DOI":"10.1371\/journal.pone.0148724"}],"container-title":["Lecture Notes in Computer Science","Learning and Intelligent Optimization"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-53552-0_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,7,17]],"date-time":"2020-07-17T16:54:03Z","timestamp":1595004843000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-53552-0_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030535513","9783030535520"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-53552-0_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"18 July 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"LION","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Learning and Intelligent Optimization","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Athens","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 May 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 May 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"lion2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.caopt.com\/LION14\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}