{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T22:49:48Z","timestamp":1743029388975,"version":"3.40.3"},"publisher-location":"Cham","reference-count":47,"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_48","type":"book-chapter","created":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T16:42:45Z","timestamp":1675269765000},"page":"504-510","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Use of Statistical Analysis to Evaluate How Covid-19 Has Changed the Management of the Neurosurgery Department of the AORN \u201cA. Cardarelli\u201d in Naples"],"prefix":"10.1007","author":[{"given":"Arianna","family":"Scala","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":"Eliana","family":"Raiola","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giuseppe","family":"Russo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Morena Anna","family":"Basso","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giovanni","family":"Rossi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anna","family":"Borrelli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maria","family":"Triassi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,2,2]]},"reference":[{"issue":"11","key":"48_CR1","doi-asserted-by":"publisher","first-page":"1061","DOI":"10.1001\/jama.2020.1585","volume":"323","author":"D Wang","year":"2020","unstructured":"Wang, D., Hu, B., Hu, C., et al.: Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. JAMA 323(11), 1061 (2020)","journal-title":"JAMA"},{"key":"48_CR2","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. (2022)","DOI":"10.1186\/s12911-022-01884-9"},{"issue":"5","key":"48_CR3","doi-asserted-by":"publisher","first-page":"374","DOI":"10.1016\/j.fas.2017.06.004","volume":"24","author":"A Bernasconi","year":"2018","unstructured":"Bernasconi, A., Sadile, F., Smeraglia, F., Mehdi, N., Laborde, J., Lintz, F.: Tendoscopy of Achilles, peroneal and tibialis posterior tendons: an evidence-based update. Foot Ankle Surg. 24(5), 374\u2013382 (2018). https:\/\/doi.org\/10.1016\/j.fas.2017.06.004","journal-title":"Foot Ankle Surg."},{"key":"48_CR4","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1093\/bmb\/ldv049","volume":"116","author":"F Smeraglia","year":"2015","unstructured":"Smeraglia, F., Del Buono, A., Maffulli, N.: Endoscopic cubital tunnel release: a systematic review. Br. Med. Bull. 116, 155\u2013163 (2015). https:\/\/doi.org\/10.1093\/bmb\/ldv049. Epub 2015 Nov. 24 PMID: 26608457","journal-title":"Br. Med. Bull."},{"key":"48_CR5","doi-asserted-by":"crossref","unstructured":"Improta, G., Borrelli, A., Triassi, M.: Machine learning and lean six sigma to assess how COVID-19 has changed the patient management of the complex operative unit of neurology and stroke unit: a single center study. Int. J. Environ. Res. Public Health (2022)","DOI":"10.3390\/ijerph19095215"},{"key":"48_CR6","volume":"368","author":"M Paterlini","year":"2020","unstructured":"Paterlini, M.: On the front lines of coronavirus: the Italian response to covid-19. BMJ (Clin. Res. Ed.) 368, m1065 (2020)","journal-title":"BMJ (Clin. Res. Ed.)"},{"key":"48_CR7","unstructured":"https:\/\/www.who.int\/emergencies\/diseases\/novel-coronavirus-2019"},{"key":"48_CR8","unstructured":"https:\/\/hbr.org\/2020\/03\/lessons-from-italysresponse-to-coronavirus"},{"key":"48_CR9","unstructured":"Sheldon, T.: Promoting health care quality: what role performance indicators? Qual. Health Care 7, 45\u201350 (1998). ISSN 0963-8172"},{"issue":"5","key":"48_CR10","doi-asserted-by":"publisher","first-page":"1429","DOI":"10.1007\/s00167-016-4370-0","volume":"26","author":"A Lamberti","year":"2016","unstructured":"Lamberti, A., Balato, G., Summa, P.P., Rajgopal, A., Vasdev, A., Baldini, A.: Surgical options for chronic patellar tendon rupture in total knee arthroplasty. Knee Surg. Sports Traumatol. Arthrosc. 26(5), 1429\u20131435 (2016). https:\/\/doi.org\/10.1007\/s00167-016-4370-0","journal-title":"Knee Surg. Sports Traumatol. Arthrosc."},{"key":"48_CR11","doi-asserted-by":"crossref","unstructured":"Kenarkoohi, A., et al.: Hospital indoor air quality monitoring for the detection of SARS-CoV-2 (COVID-19) virus. Sci. Total Environ. 748, 141324 (2020)","DOI":"10.1016\/j.scitotenv.2020.141324"},{"key":"48_CR12","doi-asserted-by":"crossref","unstructured":"Jiang, Y., et al.: Clinical data on hospital environmental hygiene monitoring and medical staff protection during the coronavirus disease 2019 outbreak. MedRxiv (2020)","DOI":"10.1101\/2020.02.25.20028043"},{"issue":"6","key":"48_CR13","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1016\/j.hansur.2020.05.010","volume":"39","author":"F Smeraglia","year":"2020","unstructured":"Smeraglia, F., Basso, M.A., Famiglietti, G., Eckersley, R., Bernasconi, A., Balato, G.: Partial wrist denervation versus total wrist denervation: a systematic review of the literature. Hand Surg. Rehabil. 39(6), 487\u2013491 (2020). https:\/\/doi.org\/10.1016\/j.hansur.2020.05.010","journal-title":"Hand Surg. Rehabil."},{"issue":"1","key":"48_CR14","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":"48_CR15","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 (2020). https:\/\/doi.org\/10.1145\/3341105.3374129","DOI":"10.1145\/3341105.3374129"},{"issue":"1","key":"48_CR16","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":"48_CR17","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":"48_CR18","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 (2019). https:\/\/doi.org\/10.1145\/3297280.3297574","DOI":"10.1145\/3297280.3297574"},{"key":"48_CR19","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."},{"issue":"4","key":"48_CR20","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":"48_CR21","doi-asserted-by":"publisher","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","DOI":"10.1109\/TNNLS.2022.3146968"},{"key":"48_CR22","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 (2020): 102151","DOI":"10.1016\/j.msard.2020.102151"},{"key":"48_CR23","doi-asserted-by":"crossref","unstructured":"Romano, M., et al.: Symbolic dynamics in cardiotocographic monitoring. In: 2013 E-Health and Bioengineering Conference (EHB). IEEE (2013)","DOI":"10.1109\/EHB.2013.6707374"},{"key":"48_CR24","doi-asserted-by":"crossref","unstructured":"Iuppariello, L., et al.: A novel approach to estimate the upper limb reaching movement in three-dimensional space. Inform. Med. Unlocked 15, 100155 (2019)","DOI":"10.1016\/j.imu.2019.01.005"},{"issue":"3","key":"48_CR25","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1007\/s00402-019-03232-5","volume":"140","author":"G Balato","year":"2019","unstructured":"Balato, G., et al.: Laboratory-based versus qualitative assessment of \u03b1-defensin in periprosthetic hip and knee infections: a systematic review and meta-analysis. Arch. Orthop. Trauma Surg. 140(3), 293\u2013301 (2019). https:\/\/doi.org\/10.1007\/s00402-019-03232-5","journal-title":"Arch. Orthop. Trauma Surg."},{"key":"48_CR26","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":"4","key":"48_CR27","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":"48_CR28","doi-asserted-by":"crossref","unstructured":"Ylenia, C., et al.: A clinical decision support system based on fuzzy rules and classification algorithms for monitoring the physiological parameters of type-2 diabetic patients. Math. Biosci. Eng. 18(3), 2654\u20132674 (2021)","DOI":"10.3934\/mbe.2021135"},{"key":"48_CR29","doi-asserted-by":"crossref","unstructured":"Improta, G., et al.: Fuzzy logic\u2013based clinical decision support system for the evaluation of renal function in post\u2010transplant patients. J. Eval. Clin. Pract. 26(4), 1224\u20131234 (2020)","DOI":"10.1111\/jep.13302"},{"key":"48_CR30","doi-asserted-by":"crossref","unstructured":"Santini, S., et al.: Using fuzzy logic for improving clinical daily-care of \u03b2-thalassemia patients. In: 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE (2017)","DOI":"10.1109\/FUZZ-IEEE.2017.8015545"},{"key":"48_CR31","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":"G Improta","year":"2021","unstructured":"Improta, G., 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":"48_CR32","series-title":"IFMBE Proceedings","doi-asserted-by":"publisher","first-page":"518","DOI":"10.1007\/978-3-030-64610-3_59","volume-title":"8th European Medical and Biological Engineering Conference","author":"G Improta","year":"2021","unstructured":"Improta, G., et al.: Evaluation of medical training courses satisfaction: Qualitative analysis and analytic hierarchy process. In: Jarm, T., Cvetkoska, A., Mahni\u010d-Kalamiza, S., Miklavcic, D. (eds.) EMBEC 2020. IP, vol. 80, pp. 518\u2013526. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-64610-3_59"},{"issue":"9","key":"48_CR33","doi-asserted-by":"publisher","first-page":"1426","DOI":"10.3390\/math10091426","volume":"10","author":"AM Ponsiglione","year":"2022","unstructured":"Ponsiglione, A.M., et al.: A hybrid analytic hierarchy process and Likert scale approach for the quality assessment of medical education programs. Mathematics 10(9), 1426 (2022). https:\/\/doi.org\/10.3390\/math10091426","journal-title":"Mathematics"},{"key":"48_CR34","doi-asserted-by":"crossref","unstructured":"Scala, A., et al.: Regression models to study the total LOS related to valvuloplasty. Int. J. Environ. Res. Public Health 19(5), 3117 (2022)","DOI":"10.3390\/ijerph19053117"},{"key":"48_CR35","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. Environ. Res. Public Health 19(10), 6219 (2022)","DOI":"10.3390\/ijerph19106219"},{"key":"48_CR36","doi-asserted-by":"crossref","unstructured":"Cortesi, P.A., et al.: Cost-effectiveness and budget impact of emicizumab prophylaxis in haemophilia a patients with inhibitors. Thromb. Haemost. 120(02), 216\u2013228 (2020)","DOI":"10.1055\/s-0039-3401822"},{"key":"48_CR37","doi-asserted-by":"publisher","first-page":"166","DOI":"10.1007\/978-3-642-03893-8_47","volume-title":"World Congress on Medical Physics and Biomedical Engineering","author":"G Improta","year":"2009","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, pp. 166\u2013169. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-642-03893-8_47"},{"key":"48_CR38","doi-asserted-by":"crossref","unstructured":"Improta, G., et al.: 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)","DOI":"10.1142\/S0219622019500263"},{"key":"48_CR39","unstructured":"Orabona, G.T., Calvanese, C., Ferri, A., Committeri, U., Improta, G.: A comparison of a SARS-CoV-2 rapid-test and serological-test in a Public Health Hospital GDA. J. Infect. Dev. Countries (2022)"},{"key":"48_CR40","doi-asserted-by":"crossref","unstructured":"Montella, E., Ferraro, A., Sperl\u00ec, G., Triassi, M., Santini, S., Improta, G.: Predictive analysis of healthcare-associated blood stream infections in the neonatal intensive care unit using artificial intelligence: a single center study. Int. J. Environ. Res. Public Health 19(5), 2498 (2022)","DOI":"10.3390\/ijerph19052498"},{"key":"48_CR41","doi-asserted-by":"crossref","unstructured":"Scala, A., Alfano, R., Borrelli, A., Rossi, G., Triassi, M.: Logistic regression to study the change in length of stay in a department of ophthalmology in CoViD-19 era. In: 2021 International Symposium on Biomedical Engineering and Computational Biology, BECB 2021 (2021)","DOI":"10.1145\/3502060.3503660"},{"key":"48_CR42","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 (2021). https:\/\/doi.org\/10.1016\/j.chemosphere.2021.131052","DOI":"10.1016\/j.chemosphere.2021.131052"},{"key":"48_CR43","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":"48_CR44","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":"48_CR45","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":"48_CR46","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":"48_CR47","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_48","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,12]],"date-time":"2023-04-12T10:16:08Z","timestamp":1681294568000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-25191-7_48"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031251900","9783031251917"],"references-count":47,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-25191-7_48","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"}}]}}