{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T01:22:04Z","timestamp":1743124924824,"version":"3.40.3"},"publisher-location":"Cham","reference-count":41,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031251900"},{"type":"electronic","value":"9783031251917"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-25191-7_57","type":"book-chapter","created":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T16:42:45Z","timestamp":1675269765000},"page":"577-583","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Study of Variables Influencing LOS with Machine Learning in Patients with Kidney Disease"],"prefix":"10.1007","author":[{"given":"Teresa Angela","family":"Trunfio","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marta Rosaria","family":"Marino","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cristiana","family":"Giglio","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Massimo","family":"Majolo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eliana","family":"Raiola","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Enrico","family":"Festa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giuseppe","family":"Longo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maria","family":"Triassi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arianna","family":"Scala","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,2,2]]},"reference":[{"key":"57_CR1","doi-asserted-by":"publisher","unstructured":"Levey, A.S., Coresh, J.: Chronic kidney disease. Lancet 379(9811), 165\u2013180 (2012). https:\/\/doi.org\/10.1016\/S0140-6736(11)60178-5. ISSN 0140-6736","DOI":"10.1016\/S0140-6736(11)60178-5"},{"key":"57_CR2","doi-asserted-by":"publisher","unstructured":"Webster, A.C., Nagler, E.V., Morton, R.L., Masson, P.: Chronic kidney disease. Lancet 389(10075), 1238\u20131252 (2017). https:\/\/doi.org\/10.1016\/S0140-6736(16)32064-5. ISSN 0140-6736","DOI":"10.1016\/S0140-6736(16)32064-5"},{"key":"57_CR3","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1016\/S0140-6736(11)60178-5","volume":"379","author":"AS Levey","year":"2012","unstructured":"Levey, A.S., Coresh, J.: Chronic kidney disease. Lancet Lond. Engl. 379, 165\u2013180 (2012)","journal-title":"Lancet Lond. Engl."},{"key":"57_CR4","doi-asserted-by":"publisher","first-page":"21","DOI":"10.2147\/POR.S97310","volume":"7","author":"SD Fraser","year":"2016","unstructured":"Fraser, S.D., Blakeman, T.: Chronic kidney disease: identification and management in primary care. Pragmatic Obs. Res. 7, 21\u201332 (2016)","journal-title":"Pragmatic Obs. Res."},{"issue":"5","key":"57_CR5","doi-asserted-by":"publisher","first-page":"525","DOI":"10.2217\/cpr.14.46","volume":"11","author":"M Mallappallil","year":"2014","unstructured":"Mallappallil, M., Friedman, E.A., Delano, B.G., McFarlane, S.I., Salifu, M.O.: Chronic kidney disease in the elderly: evaluation and management. Clin. Pract. (Lond.) 11(5), 525\u2013535 (2014). https:\/\/doi.org\/10.2217\/cpr.14.46","journal-title":"Clin. Pract. (Lond.)"},{"issue":"3","key":"57_CR6","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1007\/s10741-014-9460-9","volume":"20","author":"L Di Lullo","year":"2014","unstructured":"Di Lullo, L., House, A., Gorini, A., Santoboni, A., Russo, D., Ronco, C.: Chronic kidney disease and cardiovascular complications. Heart Fail. Rev. 20(3), 259\u2013272 (2014). https:\/\/doi.org\/10.1007\/s10741-014-9460-9","journal-title":"Heart Fail. Rev."},{"key":"57_CR7","doi-asserted-by":"publisher","first-page":"2093","DOI":"10.1111\/j.1600-6143.2011.03686.x","volume":"11","author":"M Tonelli","year":"2011","unstructured":"Tonelli, M., et al.: Systematic review: kidney transplantation compared with dialysis in clinically relevant outcomes. Am. J. Transplant. 11, 2093\u20132109 (2011)","journal-title":"Am. J. Transplant."},{"issue":"6","key":"57_CR8","doi-asserted-by":"publisher","first-page":"1084","DOI":"10.1097\/SLA.0000000000002025","volume":"266","author":"MA McAdams-DeMarco","year":"2017","unstructured":"McAdams-DeMarco, M.A., et al.: Frailty, length of stay, and mortality in kidney transplant recipients: a national registry and prospective cohort study. Ann. Surg. 266(6), 1084\u20131090 (2017). https:\/\/doi.org\/10.1097\/SLA.0000000000002025. PMID: 27655240; PMCID: PMC5360544","journal-title":"Ann. Surg."},{"issue":"1","key":"57_CR9","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1186\/s12891-018-2283-4","volume":"19","author":"G Balato","year":"2018","unstructured":"Balato, G., Rizzo, M., Ascione, T., Smeraglia, F., Mariconda, M.: Re-infection rates and clinical outcomes following arthrodesis with intramedullary nail and external fixator for infected knee prosthesis: a systematic review and meta-analysis. BMC Musculoskelet. Disord. 19(1), 361 (2018)","journal-title":"BMC Musculoskelet. Disord."},{"issue":"4","key":"57_CR10","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1007\/s00586-017-5036-4","volume":"26","author":"T Ascione","year":"2017","unstructured":"Ascione, T., et al.: Clinical and microbiological outcomes in haematogenous spondylodiscitis treated conservatively. Eur. Spine J. 26(4), 489\u2013495 (2017). https:\/\/doi.org\/10.1007\/s00586-017-5036-4","journal-title":"Eur. Spine J."},{"key":"57_CR11","doi-asserted-by":"crossref","unstructured":"Balato, G., et al.: Hip and knee section, prevention, surgical technique: proceedings of international consensus on orthopedic infections. J. Arthroplasty 34(2S), S301\u2013S307 (2019)","DOI":"10.1016\/j.arth.2018.09.015"},{"issue":"1","key":"57_CR12","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1093\/bmb\/ldy012","volume":"126","author":"F Smeraglia","year":"2018","unstructured":"Smeraglia, F., Mariconda, M., Balato, G., Di Donato, S.L., Criscuolo, G., Maffulli, N.: Dubious space for Artelon joint resurfacing for basal thumb (trapeziometacarpal joint) osteoarthritis. A systematic review. Br. Med. Bull. 126(1), 79\u201384 (2018)","journal-title":"Br. Med. Bull."},{"key":"57_CR13","first-page":"1808","volume":"19","author":"WH Kazmi","year":"2004","unstructured":"Kazmi, W.H., Obrador, G.T., Khan, S.S., Pereira, B.J.G., Kausz, A.T.: Late nephrology referral and mortality among patients with end-stage renal disease: a propensity score analysis. Nephrol. Dial. Transplant. Off. Publ. Eur. Dial Transpl. Assoc. Eur. Ren. Assoc. 19, 1808\u20131814 (2004)","journal-title":"Nephrol. Dial. Transplant. Off. Publ. Eur. Dial Transpl. Assoc. Eur. Ren. Assoc."},{"issue":"1","key":"57_CR14","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1177\/095148480001300106","volume":"13","author":"RC Bradbury","year":"2000","unstructured":"Bradbury, R.C., Golec, J.H., Steen, P.M.: Linking health outcomes and resource efficiency for hospitalized patients: do physicians with low mortality and morbidity rates also have low resource expenditures? Health Serv. Manag. Res. 13(1), 57\u201368 (2000)","journal-title":"Health Serv. Manag. Res."},{"issue":"5","key":"57_CR15","first-page":"675","volume":"152","author":"MD Brownell","year":"1995","unstructured":"Brownell, M.D., Roos, N.P.: Variation in length of stay as a measure of efficiency in Manitoba hospitals. Can. Med. Assoc. J. 152(5), 675\u2013682 (1995)","journal-title":"Can. Med. Assoc. J."},{"key":"57_CR16","doi-asserted-by":"crossref","unstructured":"Trunfio, T.A., et al.: Multiple regression model to analyze the total LOS for patients undergoing laparoscopic appendectomy. BMC Med. Inform. Decis. Mak. 22(1), 1\u20138 (2022)","DOI":"10.1186\/s12911-022-01884-9"},{"key":"57_CR17","doi-asserted-by":"crossref","unstructured":"Trunfio, T.A., Borrelli, A., Improta, G.: Is it possible to predict the length of stay of patients undergoing hip-replacement surgery? Int. J. Env. Res. Public Health 19(10), 6219 (2022)","DOI":"10.3390\/ijerph19106219"},{"key":"57_CR18","doi-asserted-by":"publisher","unstructured":"Improta, G., Converso, G., Murino, T., Gallo, M., Perrone, A., Romano, M: Analytic hierarchy process (AHP) in dynamic configuration as a tool for health technology assessment (HTA): the case of biosensing optoelectronics in oncology. Int. J. Inf. Technol. Decis. Mak. 18(05), 1533\u20131550 (2019). https:\/\/doi.org\/10.1142\/S0219622019500263","DOI":"10.1142\/S0219622019500263"},{"key":"57_CR19","doi-asserted-by":"publisher","unstructured":"Improta, G., Simone, T., Bracale, M.: HTA (Health Technology Assessment): a means to reach governance goals and to guide health politics on the topic of clinical risk management. In: D\u00f6ssel, O., Schlegel, W.C. (eds.) World Congress on Medical Physics and Biomedical Engineering, vol. 25\/12. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-642-03893-8_47","DOI":"10.1007\/978-3-642-03893-8_47"},{"key":"57_CR20","doi-asserted-by":"publisher","unstructured":"Improta, G., et al.: An innovative contribution to health technology assessment. In: Ding, W., Jiang, H., Ali, M., Li, M. (eds.) Modern Advances in Intelligent Systems and Tools, pp. 127\u2013131. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-30732-4_16","DOI":"10.1007\/978-3-642-30732-4_16"},{"key":"57_CR21","series-title":"IFMBE Proceedings","doi-asserted-by":"publisher","first-page":"414","DOI":"10.1007\/978-3-030-64610-3_48","volume-title":"8th European Medical and Biological Engineering Conference","author":"G Cesarelli","year":"2021","unstructured":"Cesarelli, G., Montella, E., Scala, A., Raiola, E., Triassi, M., Improta, G.: DMAIC approach for the reduction of healthcare-associated infections in the neonatal intensive care unit of the University Hospital of Naples \u2018Federico II.\u2019 In: Jarm, T., Cvetkoska, A., Mahni\u010d-Kalamiza, S., Miklavcic, D. (eds.) EMBEC 2020. IP, vol. 80, pp. 414\u2013423. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-64610-3_48"},{"key":"57_CR22","unstructured":"Improta, G., Scala, A., Trunfio, T.A., Guizzi, G.: Application of supply chain management at drugs flow in an Italian Hospital District. J. Phys. Conf. Ser. 1828 (2020). International Symposium on Automation, Information and Computing (ISAIC 2020), 2\u20134 December 2020, Beijing, China. IOP Publishing Ltd. (2020)"},{"key":"57_CR23","series-title":"IFMBE Proceedings","doi-asserted-by":"publisher","first-page":"784","DOI":"10.1007\/978-3-030-64610-3_88","volume-title":"8th European Medical and Biological Engineering Conference","author":"Giovanni Improta","year":"2021","unstructured":"Improta, Giovanni, et al.: Management of the diabetic patient in the diagnostic care pathway. In: Jarm, T., Cvetkoska, A., Mahni\u010d-Kalamiza, S., Miklavcic, D. (eds.) EMBEC 2020. IP, vol. 80, pp. 784\u2013792. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-64610-3_88"},{"key":"57_CR24","doi-asserted-by":"publisher","unstructured":"Bonavolont\u00e0, P., et al.: Postoperative complications after removal of pleomorphic adenoma from the parotid gland: a long-term follow up of 297 patients from 2002 to 2016 and a review of publications. Br. J. Oral Maxillofacial Surg. 57(10), 998\u20131002 (2019).https:\/\/doi.org\/10.1016\/j.bjoms.2019.08.008. ISSN 0266-4356","DOI":"10.1016\/j.bjoms.2019.08.008"},{"key":"57_CR25","doi-asserted-by":"publisher","unstructured":"Solari, D., et al.: Skull base reconstruction after endoscopic endonasal surgery: new strategies for raising the dam. In: 2019 II Workshop on Metrology for Industry 4.0 and IoT (MetroInd4.0&IoT), pp. 28\u201332 (2019). https:\/\/doi.org\/10.1109\/METROI4.2019.8792878","DOI":"10.1109\/METROI4.2019.8792878"},{"key":"57_CR26","doi-asserted-by":"crossref","unstructured":"Maniscalco, G.T., et al.: Remission of early persistent cladribine-induced neutropenia after filgrastim therapy in a patient with relapsing-remitting multiple sclerosis. Multiple Sclerosis Relat. Disord. 43, 102151 (2020)","DOI":"10.1016\/j.msard.2020.102151"},{"issue":"1","key":"57_CR27","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1109\/TSMC.2020.3049082","volume":"52","author":"C Esposito","year":"2022","unstructured":"Esposito, C., Moscato, V., Sperl\u00ed, G.: Trustworthiness assessment of users in social reviewing systems. IEEE Trans. Syst. Man Cybern. Syst. 52(1), 151\u2013165 (2022). https:\/\/doi.org\/10.1109\/TSMC.2020.3049082","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"key":"57_CR28","doi-asserted-by":"publisher","unstructured":"Sperl\u00ed, G.: A deep learning based chatbot for cultural heritage. In: Proceedings of the 35th Annual ACM Symposium on Applied Computing, pp. 935\u2013937, March 2020. https:\/\/doi.org\/10.1145\/3341105.3374129","DOI":"10.1145\/3341105.3374129"},{"issue":"1","key":"57_CR29","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1007\/s10844-020-00629-2","volume":"57","author":"M Ianni","year":"2020","unstructured":"Ianni, M., Masciari, E., Sperl\u00ed, G.: A survey of big data dimensions vs social networks analysis. J. Intell. Inf. Syst. 57(1), 73\u2013100 (2020). https:\/\/doi.org\/10.1007\/s10844-020-00629-2","journal-title":"J. Intell. Inf. Syst."},{"key":"57_CR30","doi-asserted-by":"publisher","first-page":"115277","DOI":"10.1016\/j.eswa.2021.115277","volume":"183","author":"G Sperl\u00ed","year":"2021","unstructured":"Sperl\u00ed, G.: A cultural heritage framework using a Deep Learning based Chatbot for supporting tourist journey. Expert Syst. Appl. 183, 115277 (2021). https:\/\/doi.org\/10.1016\/j.eswa.2021.115277","journal-title":"Expert Syst. Appl."},{"key":"57_CR31","doi-asserted-by":"publisher","first-page":"103177","DOI":"10.1016\/j.compind.2019.103177","volume":"115","author":"A Petrillo","year":"2020","unstructured":"Petrillo, A., Picariello, A., Santini, S., Scarciello, B., Sperli, G.: Model-based vehicular prognostics framework using big data architecture. Comput. Ind. 115, 103177 (2020). https:\/\/doi.org\/10.1016\/j.compind.2019.103177","journal-title":"Comput. Ind."},{"key":"57_CR32","doi-asserted-by":"publisher","unstructured":"Sperl\u00ed, G.: A deep learning based community detection approach. In: Proceedings of the 34th ACM\/SIGAPP Symposium on Applied Computing, pp. 1107\u20131110, April 2019. https:\/\/doi.org\/10.1145\/3297280.3297574","DOI":"10.1145\/3297280.3297574"},{"issue":"4","key":"57_CR33","doi-asserted-by":"publisher","first-page":"1987","DOI":"10.1109\/TETC.2019.2952765","volume":"9","author":"F Mercorio","year":"2021","unstructured":"Mercorio, F., Mezzanzanica, M., Moscato, V., Picariello, A., Sperl\u00ed, G.: DICO: a graph-DB framework for community detection on big scholarly data. IEEE Trans. Emerg. Top. Comput. 9(4), 1987\u20132003 (2021). https:\/\/doi.org\/10.1109\/TETC.2019.2952765","journal-title":"IEEE Trans. Emerg. Top. Comput."},{"key":"57_CR34","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3146968","author":"V La Gatta","year":"2022","unstructured":"La Gatta, V., Moscato, V., Pennone, M., Postiglione, M., Sperl\u00ed, G.: Music recommendation via hypergraph embedding. IEEE Trans. Neural Netw. Learn. Syst. (2022). https:\/\/doi.org\/10.1109\/TNNLS.2022.3146968","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"1","key":"57_CR35","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1109\/TC.2020.3042053","volume":"71","author":"A De Santo","year":"2020","unstructured":"De Santo, A., Galli, A., Gravina, M., Moscato, V., Sperl\u00ec, G.: Deep learning for HDD health assessment: an application based on LSTM. IEEE Trans. Comput. 71(1), 69\u201380 (2020). https:\/\/doi.org\/10.1109\/TC.2020.3042053","journal-title":"IEEE Trans. Comput."},{"key":"57_CR36","doi-asserted-by":"publisher","unstructured":"Guarino, F., Improta, G., Triassi, M., Castiglione, S., Cicatelli, A.: Air quality biomonitoring through Olea europaea L.: the study case of \u201cLand of pyres\u201d. Chemosphere 282, 131052. https:\/\/doi.org\/10.1016\/j.chemosphere.2021.131052","DOI":"10.1016\/j.chemosphere.2021.131052"},{"key":"57_CR37","doi-asserted-by":"publisher","first-page":"1677","DOI":"10.3389\/fmicb.2020.01677","volume":"11","author":"F Guarino","year":"2020","unstructured":"Guarino, F., Improta, G., Triassi, M., Cicatelli, A., Castiglione, S.: Effects of zinc pollution and compost amendment on the root microbiome of a metal tolerant poplar clone. Front. Microbiol. 11, 1677 (2020). https:\/\/doi.org\/10.3389\/fmicb.2020.01677","journal-title":"Front. Microbiol."},{"key":"57_CR38","doi-asserted-by":"publisher","unstructured":"Guarino, F., et al.: Genetic characterization, micropropagation, and potential use for arsenic phytoremediation of Dittrichia viscosa (L.) Greuter. Ecotoxicol. Environ. Saf. 148, 675\u2013683 (2018). https:\/\/doi.org\/10.1016\/j.ecoenv.2017.11.010","DOI":"10.1016\/j.ecoenv.2017.11.010"},{"key":"57_CR39","doi-asserted-by":"publisher","unstructured":"Guarino, F., Cicatelli, A., Brundu, G., Improta, G., Triassi, M., Castiglione, S.: The use of MSAP reveals epigenetic diversity of the invasive clonal populations of Arundo donax L. PLoS One 14 (2019). https:\/\/doi.org\/10.1371\/journal.pone.0215096","DOI":"10.1371\/journal.pone.0215096"},{"key":"57_CR40","doi-asserted-by":"publisher","first-page":"110018","DOI":"10.1016\/j.ecoenv.2019.110018","volume":"189","author":"A De Agostini","year":"2020","unstructured":"De Agostini, A., et al.: Heavy metal tolerance of orchid populations growing on abandoned mine tailings: a case study in Sardinia Island (Italy). Ecotoxicol. Environ. Saf. 189, 110018 (2020). https:\/\/doi.org\/10.1016\/j.ecoenv.2019.110018","journal-title":"Ecotoxicol. Environ. Saf."},{"key":"57_CR41","doi-asserted-by":"publisher","unstructured":"Moccia, E., et al.: Use of Zea mays L. in phytoremediation of trichloroethylene. Environ. Sci. Pollut. Res. 24, 11053\u201311060 (2017). https:\/\/doi.org\/10.1007\/s11356-016-7570-8","DOI":"10.1007\/s11356-016-7570-8"}],"container-title":["Lecture Notes in Computer Science","Biomedical and Computational Biology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-25191-7_57","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,12]],"date-time":"2023-04-12T10:18:07Z","timestamp":1681294687000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-25191-7_57"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031251900","9783031251917"],"references-count":41,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-25191-7_57","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"2 February 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BECB","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Biomedical and Computational Biology","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 August 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 August 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"becb2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.becbinfo.com\/#\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}