{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,28]],"date-time":"2025-06-28T04:09:13Z","timestamp":1751083753144,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":36,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811604928"},{"type":"electronic","value":"9789811604935"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[[2021]]},"DOI":"10.1007\/978-981-16-0493-5_9","type":"book-chapter","created":{"date-parts":[[2021,2,19]],"date-time":"2021-02-19T16:27:33Z","timestamp":1613752053000},"page":"95-107","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Machine Learning Algorithms for the Diagnosis of Cardiac Arrhythmia in IoT Environment"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8880-9685","authenticated-orcid":false,"given":"Samir","family":"Yadav","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4798-7984","authenticated-orcid":false,"given":"Vinod","family":"Kadam","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6654-0032","authenticated-orcid":false,"given":"Shivajirao","family":"Jadhav","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,2,19]]},"reference":[{"key":"9_CR1","series-title":"Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1007\/978-3-319-61949-1_2","volume-title":"Smart Objects and Technologies for Social Good","author":"A Abdelgawad","year":"2017","unstructured":"Abdelgawad, A., Yelamarthi, K., Khattab, A.: IoT-based health monitoring system for active and assisted living. In: Gaggi, O., Manzoni, P., Palazzi, C., Bujari, A., Marquez-Barja, J.M. (eds.) GOODTECHS 2016. LNICST, vol. 195, pp. 11\u201320. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-61949-1_2"},{"key":"9_CR2","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"416","DOI":"10.1007\/978-981-13-9187-3_38","volume-title":"Recent Trends in Image Processing and Pattern Recognition","author":"M Ali","year":"2019","unstructured":"Ali, M., Guru, D.S., Suhil, M.: Classifying Arabic farmers\u2019 complaints based on crops and diseases using machine learning approaches. In: Santosh, K.C., Hegadi, R.S. (eds.) RTIP2R 2018. CCIS, vol. 1037, pp. 416\u2013428. Springer, Singapore (2019). https:\/\/doi.org\/10.1007\/978-981-13-9187-3_38"},{"key":"9_CR3","unstructured":"Blake, C., Merz, C.: UCI repository of machine learning databases. Department of Information and Computer Sciences, University of California, Irvine (1998). http:\/\/www.ics.uci.edu\/mlearn\/MLRepository.html"},{"issue":"9","key":"9_CR4","doi-asserted-by":"publisher","first-page":"826","DOI":"10.1109\/10.58593","volume":"37","author":"DA Coast","year":"1990","unstructured":"Coast, D.A., Stern, R.M., Cano, G.G., Briller, S.A.: An approach to cardiac arrhythmia analysis using hidden Markov models. IEEE Trans. Biomed. Eng. 37(9), 826\u2013836 (1990)","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"7","key":"9_CR5","doi-asserted-by":"publisher","first-page":"1196","DOI":"10.1109\/TBME.2004.827359","volume":"51","author":"P De Chazal","year":"2004","unstructured":"De Chazal, P., O\u2019Dwyer, M., Reilly, R.B.: Automatic classification of heartbeats using ECG morphology and heartbeat interval features. IEEE Trans. Biomed. Eng. 51(7), 1196\u20131206 (2004)","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"9_CR6","doi-asserted-by":"publisher","first-page":"S87","DOI":"10.1016\/j.diin.2013.06.010","volume":"10","author":"J Dykstra","year":"2013","unstructured":"Dykstra, J., Sherman, A.T.: Design and implementation of Frost: digital forensic tools for the OpenStack cloud computing platform. Digit. Invest. 10, S87\u2013S95 (2013)","journal-title":"Digit. Invest."},{"key":"9_CR7","doi-asserted-by":"publisher","first-page":"561","DOI":"10.1007\/978-1-4471-4474-8_19","volume-title":"Biomedical Informatics","author":"RM Gardner","year":"2014","unstructured":"Gardner, R.M., Clemmer, T.P., Evans, R.S., Mark, R.G.: Patient monitoring systems. In: Shortliffe, E.H., Cimino, J.J. (eds.) Biomedical Informatics, pp. 561\u2013591. Springer, London (2014). https:\/\/doi.org\/10.1007\/978-1-4471-4474-8_19"},{"key":"9_CR8","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"572","DOI":"10.1007\/978-981-13-9181-1_50","volume-title":"Recent Trends in Image Processing and Pattern Recognition","author":"S Ghosh","year":"2019","unstructured":"Ghosh, S., Mukherjee, H., Obaidullah, S.M., Santosh, K.C., Das, N., Roy, K.: A survey on extreme learning machine and evolution of its variants. In: Santosh, K.C., Hegadi, R.S. (eds.) RTIP2R 2018. CCIS, vol. 1035, pp. 572\u2013583. Springer, Singapore (2019). https:\/\/doi.org\/10.1007\/978-981-13-9181-1_50"},{"issue":"2","key":"9_CR9","doi-asserted-by":"publisher","first-page":"460","DOI":"10.1109\/JBHI.2015.2402199","volume":"20","author":"S Gutta","year":"2015","unstructured":"Gutta, S., Cheng, Q.: Joint feature extraction and classifier design for ECG-based biometric recognition. IEEE J. Biomed. Health Inform. 20(2), 460\u2013468 (2015)","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"9_CR10","unstructured":"Guvenir, H.A., Acar, B., Demiroz, G., Cekin, A.: A supervised machine learning algorithm for arrhythmia analysis. In: Computers in Cardiology 1997, pp. 433\u2013436. IEEE (1997)"},{"issue":"3","key":"9_CR11","doi-asserted-by":"publisher","first-page":"579","DOI":"10.1007\/s00500-013-1079-6","volume":"18","author":"S Jadhav","year":"2014","unstructured":"Jadhav, S., Nalbalwar, S., Ghatol, A.: Feature elimination based random subspace ensembles learning for ECG arrhythmia diagnosis. Soft. Comput. 18(3), 579\u2013587 (2014). https:\/\/doi.org\/10.1007\/s00500-013-1079-6","journal-title":"Soft. Comput."},{"issue":"2","key":"9_CR12","doi-asserted-by":"publisher","first-page":"314","DOI":"10.1109\/TBCAS.2016.2592382","volume":"11","author":"SK Jain","year":"2016","unstructured":"Jain, S.K., Bhaumik, B.: An energy efficient ECG signal processor detecting cardiovascular diseases on smartphone. IEEE Trans. Biomed. Circ. Syst. 11(2), 314\u2013323 (2016)","journal-title":"IEEE Trans. Biomed. Circ. Syst."},{"issue":"1","key":"9_CR13","doi-asserted-by":"publisher","first-page":"25","DOI":"10.3233\/HIS-190276","volume":"16","author":"V Kadam","year":"2020","unstructured":"Kadam, V., Jadhav, S., Yadav, S.: Bagging based ensemble of support vector machines with improved elitist GA-SVM features selection for cardiac arrhythmia classification. Int. J. Hybrid Intell. Syst. 16(1), 25\u201333 (2020)","journal-title":"Int. J. Hybrid Intell. Syst."},{"key":"9_CR14","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"965","DOI":"10.1007\/978-3-030-16660-1_94","volume-title":"Intelligent Systems Design and Applications","author":"VJ Kadam","year":"2020","unstructured":"Kadam, V.J., Yadav, S.S., Jadhav, S.M.: Soft-margin SVM incorporating feature selection using improved elitist GA for arrhythmia classification. In: Abraham, A., Cherukuri, A.K., Melin, P., Gandhi, N. (eds.) ISDA 2018. AISC, vol. 941, pp. 965\u2013976. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-16660-1_94"},{"issue":"14","key":"9_CR15","doi-asserted-by":"publisher","first-page":"19905","DOI":"10.1007\/s11042-019-7327-8","volume":"78","author":"P Kaur","year":"2019","unstructured":"Kaur, P., Kumar, R., Kumar, M.: A healthcare monitoring system using random forest and Internet of Things (IoT). Multimed. Tools Appl. 78(14), 19905\u201319916 (2019). https:\/\/doi.org\/10.1007\/s11042-019-7327-8","journal-title":"Multimed. Tools Appl."},{"key":"9_CR16","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/j.cmpb.2015.12.008","volume":"127","author":"EJS Luz","year":"2016","unstructured":"Luz, E.J.S., Schwartz, W.R., C\u00e1mara-Ch\u00e1vez, G., Menotti, D.: ECG-based heartbeat classification for arrhythmia detection: a survey. Comput. Methods Prog. Biomed. 127, 144\u2013164 (2016)","journal-title":"Comput. Methods Prog. Biomed."},{"issue":"6","key":"9_CR17","first-page":"183","volume":"4","author":"E Madhyan","year":"2014","unstructured":"Madhyan, E., Kadam, M.: A unique health care monitoring system using sensors and ZigBee technology. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 4(6), 183\u2013189 (2014)","journal-title":"Int. J. Adv. Res. Comput. Sci. Softw. Eng."},{"key":"9_CR18","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1007\/978-981-13-9184-2_3","volume-title":"Recent Trends in Image Processing and Pattern Recognition","author":"A Makandar","year":"2019","unstructured":"Makandar, A., Somshekhar, R.: Image enhancement using filters on Alzheimer\u2019s disease. In: Santosh, K.C., Hegadi, R.S. (eds.) RTIP2R 2018. CCIS, vol. 1036, pp. 33\u201341. Springer, Singapore (2019). https:\/\/doi.org\/10.1007\/978-981-13-9184-2_3"},{"issue":"3","key":"9_CR19","doi-asserted-by":"publisher","first-page":"230","DOI":"10.1109\/TBME.1985.325532","volume":"32","author":"J Pan","year":"1985","unstructured":"Pan, J., Tompkins, W.J.: A real-time QRS detection algorithm. IEEE Trans. Biomed. Eng. 32(3), 230\u2013236 (1985)","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"10","key":"9_CR20","doi-asserted-by":"publisher","first-page":"2411","DOI":"10.1109\/TBME.2017.2688380","volume":"64","author":"AB Rad","year":"2017","unstructured":"Rad, A.B., et al.: ECG-based classification of resuscitation cardiac rhythms for retrospective data analysis. IEEE Trans. Biomed. Eng. 64(10), 2411\u20132418 (2017)","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"9_CR21","doi-asserted-by":"publisher","first-page":"641","DOI":"10.1016\/j.future.2017.02.014","volume":"78","author":"AM Rahmani","year":"2018","unstructured":"Rahmani, A.M., et al.: Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: a fog computing approach. Future Gener. Comput. Syst. 78, 641\u2013658 (2018)","journal-title":"Future Gener. Comput. Syst."},{"issue":"3","key":"9_CR22","doi-asserted-by":"publisher","first-page":"470","DOI":"10.1109\/TIM.2016.2642758","volume":"66","author":"S Raj","year":"2017","unstructured":"Raj, S., Ray, K.C.: ECG signal analysis using DCT-based dost and PSO optimized SVM. IEEE Trans. Instrum. Measur. 66(3), 470\u2013478 (2017)","journal-title":"IEEE Trans. Instrum. Measur."},{"issue":"3","key":"9_CR23","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1109\/TSP.2015.2489598","volume":"64","author":"EK Roonizi","year":"2015","unstructured":"Roonizi, E.K., Sassi, R.: A signal decomposition model-based Bayesian framework for ECG components separation. IEEE Trans. Sig. Process. 64(3), 665\u2013674 (2015)","journal-title":"IEEE Trans. Sig. Process."},{"key":"9_CR24","doi-asserted-by":"publisher","unstructured":"Ruikar, D.D., Hegadi, R.S., Santosh, K.: A systematic review on orthopedic simulators for psycho-motor skill and surgical procedure training. J. Med. Syst. 42(9) (2018). Article number: 168. https:\/\/doi.org\/10.1007\/s10916-018-1019-1","DOI":"10.1007\/s10916-018-1019-1"},{"issue":"3","key":"9_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10916-019-1176-x","volume":"43","author":"DD Ruikar","year":"2019","unstructured":"Ruikar, D.D., Santosh, K., Hegadi, R.S.: Automated fractured bone segmentation and labeling from CT images. J. Med. Syst. 43(3), 1\u201313 (2019). https:\/\/doi.org\/10.1007\/s10916-019-1176-x","journal-title":"J. Med. Syst."},{"key":"9_CR26","doi-asserted-by":"crossref","unstructured":"Ruikar, D.D., Santosh, K., Hegadi, R.S.: Segmentation and analysis of CT images for bone fracture detection and labeling. In: Medical Imaging: Artificial Intelligence, Image Recognition, and Machine Learning Techniques, p. 131 (2019)","DOI":"10.1201\/9780429029417-7"},{"key":"9_CR27","doi-asserted-by":"publisher","DOI":"10.1201\/9780429029417","volume-title":"Medical Imaging: Artificial Intelligence, Image Recognition, and Machine Learning Techniques","author":"K Santosh","year":"2019","unstructured":"Santosh, K., Antani, S., Guru, D.S., Dey, N.: Medical Imaging: Artificial Intelligence, Image Recognition, and Machine Learning Techniques. CRC Press, Boca Raton (2019)"},{"key":"9_CR28","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1007\/978-981-10-4859-3_30","volume-title":"Recent Trends in Image Processing and Pattern Recognition","author":"KC Santosh","year":"2017","unstructured":"Santosh, K.C., Wendling, L.: Automated chest X-ray image view classification using force histogram. In: Santosh, K.C., Hangarge, M., Bevilacqua, V., Negi, A. (eds.) RTIP2R 2016. CCIS, vol. 709, pp. 333\u2013342. Springer, Singapore (2017). https:\/\/doi.org\/10.1007\/978-981-10-4859-3_30"},{"key":"9_CR29","doi-asserted-by":"crossref","unstructured":"Thota, C., Manogaran, G., Lopez, D., Vijayakumar, V.: Big data security framework for distributed cloud data centers. In: Cybersecurity Breaches and Issues Surrounding Online Threat Protection, pp. 288\u2013310. IGI Global (2017)","DOI":"10.4018\/978-1-5225-1941-6.ch012"},{"key":"9_CR30","unstructured":"Dua, D., Graff, C.: UCI machine learning repository (2017). http:\/\/archive.ics.uci.edu\/ml"},{"issue":"1","key":"9_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40537-019-0276-2","volume":"6","author":"SS Yadav","year":"2019","unstructured":"Yadav, S.S., Jadhav, S.M.: Deep convolutional neural network based medical image classification for disease diagnosis. J. Big Data 6(1), 1\u201318 (2019). https:\/\/doi.org\/10.1186\/s40537-019-0276-2","journal-title":"J. Big Data"},{"issue":"6","key":"9_CR32","doi-asserted-by":"publisher","first-page":"4303","DOI":"10.35940\/ijeat.F8914.088619","volume":"8","author":"SS Yadav","year":"2019","unstructured":"Yadav, S.S., Jadhav, S.M.: Machine learning algorithms for disease prediction using IoT environment. Int. J. Eng. Adv. Technol. 8(6), 4303\u20134307 (2019)","journal-title":"Int. J. Eng. Adv. Technol."},{"key":"9_CR33","doi-asserted-by":"crossref","unstructured":"Yadav, S.S., Jadhav, S.M., Bonde, R.G., Chaudhari, S.T.: Automated cardiac disease diagnosis using support vector machine. In: 2020 3rd International Conference on Communication System, Computing and IT Applications (CSCITA), pp. 56\u201361. IEEE (2020)","DOI":"10.1109\/CSCITA47329.2020.9137817"},{"key":"9_CR34","doi-asserted-by":"crossref","unstructured":"Yadav, S.S., Jadhav, S.M., Nagrale, S., Patil, N.: Application of machine learning for the detection of heart disease. In: 2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), pp. 165\u2013172. IEEE (2020)","DOI":"10.1109\/ICIMIA48430.2020.9074954"},{"key":"9_CR35","series-title":"Lecture Notes in Networks and Systems","doi-asserted-by":"publisher","first-page":"475","DOI":"10.1007\/978-981-15-3325-9_37","volume-title":"Communication and Intelligent Systems","author":"SS Yadav","year":"2020","unstructured":"Yadav, S.S., Kadam, V.J., Jadhav, S.M.: Comparative analysis of ensemble classifier and single base classifier in medical disease diagnosis. In: Bansal, J.C., Gupta, M.K., Sharma, H., Agarwal, B. (eds.) ICCIS 2019. LNNS, vol. 120, pp. 475\u2013489. Springer, Singapore (2020). https:\/\/doi.org\/10.1007\/978-981-15-3325-9_37"},{"key":"9_CR36","first-page":"3","volume":"1","author":"Y Yuehong","year":"2016","unstructured":"Yuehong, Y., Zeng, Y., Chen, X., Fan, Y.: The Internet of Things in healthcare: an overview. J. Ind. Inf. Integr. 1, 3\u201313 (2016)","journal-title":"J. Ind. Inf. Integr."}],"container-title":["Communications in Computer and Information Science","Recent Trends in Image Processing and Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-16-0493-5_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,2,19]],"date-time":"2021-02-19T16:32:23Z","timestamp":1613752343000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-16-0493-5_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9789811604928","9789811604935"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-981-16-0493-5_9","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"19 February 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with Ethical Standards"}},{"value":"The authors declare that there is no conflict of interest regarding the publication of this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of Interest"}},{"value":"All the subjects provided written informed consent prior to participation. The experimental protocol was approved by the ethics committees of Seth G.S. Medical College and KEM Hospital, Mumbai and was conducted in accordance with the ethical standards outlined in the Declaration of Institutional Ethics Committee (IEC).","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical Statement"}},{"value":"RTIP2R","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Recent Trends in Image Processing and Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Aurangabad","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","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":"3 January 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 January 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"rtip2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.rtip2r-conference.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"329","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"78","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"24% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5-7","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}