{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,9]],"date-time":"2025-06-09T22:26:54Z","timestamp":1749508014940,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":36,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783662611128"},{"type":"electronic","value":"9783662611142"}],"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"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-662-61114-2_4","type":"book-chapter","created":{"date-parts":[[2020,3,23]],"date-time":"2020-03-23T13:04:49Z","timestamp":1584968689000},"page":"45-64","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Interactive Process Indicators for\u00a0Obesity Modelling Using Process\u00a0Mining"],"prefix":"10.1007","author":[{"given":"Zoe","family":"Valero-Ramon","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carlos","family":"Fernandez-Llatas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antonio","family":"Martinez-Millana","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vicente","family":"Traver","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,3,24]]},"reference":[{"key":"4_CR1","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1016\/j.metabol.2018.09.005","volume":"92","author":"YC Chooi","year":"2019","unstructured":"Chooi, Y.C., Ding, C., Magkos, F., Yu Chung Chooi: The epidemiology of obesity. Metabolism 92, 6\u201310 (2019)","journal-title":"Metabolism"},{"key":"4_CR2","unstructured":"GBD 2015 Obesity Collaborators.: Health effects of overweight and obesity in 195 countries over 25 years. New Engl. J. Med. 377(1), 13\u201327 (2017)"},{"key":"4_CR3","unstructured":"World\u00a0Health Organization. Data and statistics: \nhttp:\/\/www.euro.who.int\/en\/health-topics\/noncommunicable-diseases\/obesity\/data-and-statistics\n\n (2019)"},{"key":"4_CR4","doi-asserted-by":"crossref","unstructured":"Ng, M., Fleming, T., Robinson, M., Thomson, B., Graetz, N., Margono, C., Mullany, E.C., Biryukov, S., Abbafati, C., Ferede Abera, S., et\u00a0al.: Global, regional, and national prevalence of overweight and obesity in children and adults during 1980\u20132013: a systematic analysis for the global burden of disease study 2013. Lancet 384(9945), 766\u2013781 (2014)","DOI":"10.1016\/S0140-6736(14)60460-8"},{"key":"4_CR5","doi-asserted-by":"crossref","unstructured":"Pineda, E., Sanchez-Romero, L.M., Brown, M., Jaccard, A., Jewell, J., Galea, G., Webber, L., Breda, J.: Forecasting future trends in obesity across Europe: the value of improving surveillance. Obesity Facts 11(5), 360\u2013371 (2018)","DOI":"10.1159\/000492115"},{"key":"4_CR6","unstructured":"Finkelstein, E.A., Khavjou, O.A., Thompson, H., Trogdon, J.G., Pan, L., Sherry, B., Dietz, W.: Obesity and severe obesity forecasts through 2030. Am. J. Prev. Med. 42(6), 563\u2013570 (2012)"},{"key":"4_CR7","unstructured":"Ministerio de\u00a0Sanidad Servicios Sociales\u00a0e Igualdad. La salud de la poblaci\u00f3n en espa\u00f1a. Resultados de la Encuesta Europea de Salud en Espa\u00f1a EESE 2014 (2017)"},{"key":"4_CR8","doi-asserted-by":"crossref","unstructured":"Ravussin, E., Ryan, D.H.: Three new perspectives on the perfect storm: what\u2019s behind the obesity epidemic? Obesity 26(1), 9\u201310 (2018)","DOI":"10.1002\/oby.22085"},{"key":"4_CR9","unstructured":"World\u00a0Health Organization. Obesity and overweight"},{"key":"4_CR10","doi-asserted-by":"crossref","unstructured":"Pozza, C., Isidori, A.M.: What\u2019s behind the obesity epidemic. In: Imaging in Bariatric Surgery, pp. 1\u20138. Springer (2018)","DOI":"10.1007\/978-3-319-49299-5_1"},{"key":"4_CR11","unstructured":"World\u00a0Health organization (WHO et\u00a0al. Global health risks-mortality and burden of disease attributable to selected major risks. Cancer (2017)"},{"key":"4_CR12","doi-asserted-by":"crossref","unstructured":"Guh, D.P., Zhang, W., Bansback, N., Amarsi, Z., Laird Birmingham, C., Anis, A.H.: The incidence of co-morbidities related to obesity and overweight: a systematic review and meta-analysis. BMC Public Health 9(1), 88 (2009)","DOI":"10.1186\/1471-2458-9-88"},{"key":"4_CR13","doi-asserted-by":"crossref","unstructured":"Audureau, E., Pouchot, J., Coste, J.: Gender-related differential effects of obesity on health-related quality of life via obesity-related comorbidities: a mediation analysis of a French nationwide survey. Circ. Cardiovasc. Qual. Outcomes 9(3), 246\u2013256 (2016)","DOI":"10.1161\/CIRCOUTCOMES.115.002127"},{"key":"4_CR14","doi-asserted-by":"crossref","unstructured":"Must, A., Spadano, J., Coakley, E.H., Field, A.E., Colditz, G., Dietz, W.H.: The disease burden associated with overweight and obesity. JAMA 282(16), 1523\u20131529 (1999)","DOI":"10.1001\/jama.282.16.1523"},{"key":"4_CR15","doi-asserted-by":"crossref","unstructured":"Schienkiewitz, A., Mensink, G.B.M., Scheidt-Nave, C.: Comorbidity of overweight and obesity in a nationally representative sample of German adults aged 18\u201379 years. BMC Public Health 12(1), 658 (2012)","DOI":"10.1186\/1471-2458-12-658"},{"key":"4_CR16","doi-asserted-by":"crossref","unstructured":"Burkhauser, R.V., Cawley, J.: Beyond BMI: the value of more accurate measures of fatness and obesity in social science research. J. Health Econ. 27(2), 519\u2013529 (2008)","DOI":"10.1016\/j.jhealeco.2007.05.005"},{"issue":"2","key":"4_CR17","doi-asserted-by":"publisher","first-page":"681","DOI":"10.3748\/wjg.v22.i2.681","volume":"22","author":"A Lorenzo De","year":"2016","unstructured":"De Lorenzo, A., Soldati, L., Sarlo, F., Calvani, M., Di Lorenzo, N., Di Renzo, L.: New obesity classification criteria as a tool for bariatric surgery indication. World J. Gastroenterol. 22(2), 681 (2016)","journal-title":"World J. Gastroenterol."},{"key":"4_CR18","doi-asserted-by":"crossref","unstructured":"Freedman, D.S., Perry, G: Body composition and health status among children and adolescents. Prev. Med. 31(2), S34\u2013S53 (2000)","DOI":"10.1006\/pmed.1998.0480"},{"issue":"3","key":"4_CR19","doi-asserted-by":"publisher","first-page":"944","DOI":"10.1109\/JBHI.2015.2420534","volume":"20","author":"K Orphanou","year":"2016","unstructured":"Orphanou, K., Stassopoulou, A., Keravnou, E.: Dbn-extended: a dynamic Bayesian network model extended with temporal abstractions for coronary heart disease prognosis. IEEE J. Biomed. Health Inform. 20(3), 944\u2013952 (2016)","journal-title":"IEEE J. Biomed. Health Inform."},{"issue":"1","key":"4_CR20","first-page":"56","volume":"1","author":"M Balaban","year":"2003","unstructured":"Balaban, M., Boaz, D., Shahar, Y.: Applying temporal abstraction in medical information systems. Ann. Math. Comput. Teleinform 1(1), 56\u201364 (2003)","journal-title":"Ann. Math. Comput. Teleinform"},{"key":"4_CR21","unstructured":"Concaro, S., Sacchi, L., Cerra, C., Stefanelli, M., Fratino, P., Bellazzi, R.: Temporal data mining for the assessment of the costs related to diabetes mellitus pharmacological treatment. In: AMIA Annual Symposium Proceedings, vol. 2009, p. 119. American Medical Informatics Association (2009)"},{"key":"4_CR22","doi-asserted-by":"crossref","unstructured":"Fern\u00e1ndez-Llatas, C., Sacchi, L., Bened\u00ed, J.M., Dagliati, A., Traver, V., Bellazzi, R.: Temporal abstractions to enrich activity-based process mining corpus with clinical time series. In: IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), pp. 785\u2013788 (2014)","DOI":"10.1109\/BHI.2014.6864481"},{"key":"4_CR23","doi-asserted-by":"crossref","unstructured":"Vidal, E., Rodr\u00edguez, L., Casacuberta, F., Garc\u00eda-Varea, I.: Interactive pattern recognition. In: International Workshop on Machine Learning for Multimodal Interaction, pp. 60\u201371. Springer (2007)","DOI":"10.1007\/978-3-540-78155-4_6"},{"issue":"11","key":"4_CR24","doi-asserted-by":"publisher","first-page":"5671","DOI":"10.3390\/ijerph10115671","volume":"10","author":"C Fern\u00e1ndez-Llatas","year":"2013","unstructured":"Fern\u00e1ndez-Llatas, C., Meneu, T., Traver, V., Benedi, J.-M.: Applying evidence-based medicine in telehealth: an interactive pattern recognition approximation. Int. J. Environ. Res. Public Health 10(11), 5671\u20135682 (2013)","journal-title":"Int. J. Environ. Res. Public Health"},{"key":"4_CR25","doi-asserted-by":"crossref","unstructured":"Fernandez-Llatas, C., Valdivieso, B., Traver, V., Miguel Benedi, J.: Using process mining for automatic support of clinical pathways design. In: Fern\u00e1ndez-Llatas, C., Garc\u00eda-G\u00f3mez, J.M. (eds) Data Mining in Clinical Medicine, number 1246 in Methods in Molecular Biology, pp. 79\u201388. Springer New York (2015)","DOI":"10.1007\/978-1-4939-1985-7_5"},{"key":"4_CR26","unstructured":"Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn. Wiley-Interscience, New York (2000)"},{"key":"4_CR27","doi-asserted-by":"crossref","unstructured":"van\u00a0der Aalst, W.M.P.: Process Mining: Data Science in Action, 2nd edn. Springer, Heidelberg (2016)","DOI":"10.1007\/978-3-662-49851-4"},{"key":"4_CR28","doi-asserted-by":"crossref","unstructured":"Fernandez-Llatas, C., Bayo, J.L., Martinez-Romero, A., Miguel Benedi, J., Traver, V.: Interactive pattern recognition in cardiovascular diseases management. A process mining approach. In: Proceedings of the IEEE International Conference on Biomedical and Health Informatics 2016, Las Vegas, EEUU (2016)","DOI":"10.1109\/BHI.2016.7455906"},{"issue":"10","key":"4_CR29","doi-asserted-by":"publisher","first-page":"1783","DOI":"10.3390\/ijerph16101783","volume":"16","author":"G Ibanez-Sanchez","year":"2019","unstructured":"Ibanez-Sanchez, G., Fernandez-Llatas, C., Martinez-Millana, A., Celda, A., Mandingorra, J., Aparici-Tortajada, L., Valero-Ramon, Z., Munoz-Gama, J., Sep\u00falveda, M., Rojas, E., et al.: Toward value-based healthcare through interactive process mining in emergency rooms: The stroke case. Int. J. Environ. Res. Public Health 16(10), 1783 (2019)","journal-title":"Int. J. Environ. Res. Public Health"},{"key":"4_CR30","doi-asserted-by":"crossref","unstructured":"Martinez-Millana, A., Bayo-Monton, J.-L., Argente-Pla, M., Fernandez-Llatas, C., Francisco Torres, J., Traver-Salcedo, V.: Integration of distributed services and hybrid models based on process choreography to predict and detect type 2 diabetes. Sensors 18(1), 79 (2018)","DOI":"10.3390\/s18010079"},{"key":"4_CR31","doi-asserted-by":"crossref","unstructured":"Martinez-Millana, A., Lizondo, A., Gatta, R., Vera, S., Traver Salcedo, V., Fernandez-Llatas, C.: Process mining dashboard in operating rooms: analysis of staff expectations with analytic hierarchy process. Int. J. Environ. Res. Public Health 16(2), 199 (2019)","DOI":"10.3390\/ijerph16020199"},{"issue":"4","key":"4_CR32","doi-asserted-by":"publisher","first-page":"e127","DOI":"10.2196\/jmir.8884","volume":"20","author":"T Conca","year":"2018","unstructured":"Conca, T., Saint-Pierre, C., Herskovic, V., Sep\u00falveda, M., Capurro, D., Prieto, F., Fernandez-Llatas, C.: Multidisciplinary collaboration in the treatment of patients with type 2 diabetes in primary care: analysis using process mining. J. Med. Internet Res. 20(4), e127 (2018)","journal-title":"J. Med. Internet Res."},{"issue":"11","key":"4_CR33","doi-asserted-by":"publisher","first-page":"15434","DOI":"10.3390\/s131115434","volume":"13","author":"C Fern\u00e1ndez-Llatas","year":"2013","unstructured":"Fern\u00e1ndez-Llatas, C., Benedi, J.-M., Garc\u00eda-G\u00f3mez, J., Traver, V.: Process mining for individualized behavior modeling using wireless tracking in nursing homes. Sensors 13(11), 15434\u201315451 (2013)","journal-title":"Sensors"},{"key":"4_CR34","doi-asserted-by":"crossref","unstructured":"Jin, X., Han, J.: Quality threshold clustering. In: Encyclopedia of Machine Learning, pp. 820\u2013820. Springer, Boston (2011)","DOI":"10.1007\/978-0-387-30164-8_686"},{"key":"4_CR35","unstructured":"Valero-Ramon, Z., Fernandez-Llatas, C., Traver, V., Montandon, L., Kyriazis, D.: Crowdhealth: Collective wisdom driving public health policies. In: Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, vol. 2019 (2019)"},{"key":"4_CR36","unstructured":"Viedma, P., Torner, M.J., Irles, M.A., L\u00f3pez, R.: Encuesta de salud de la comunidad valenciana 2010. Generalitat. Conselleria de Sanitat, Valencia (2012)"}],"container-title":["Studies in Computational Intelligence","Advanced Computational Intelligence in Healthcare-7"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-662-61114-2_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,3,24]],"date-time":"2020-03-24T01:08:22Z","timestamp":1585012102000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-662-61114-2_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783662611128","9783662611142"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-3-662-61114-2_4","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"24 March 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}