{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T12:05:37Z","timestamp":1764245137350,"version":"3.46.0"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031689048"},{"type":"electronic","value":"9783031689055"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-68905-5_21","type":"book-chapter","created":{"date-parts":[[2024,9,28]],"date-time":"2024-09-28T07:01:49Z","timestamp":1727506909000},"page":"228-239","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Effective Parkinson Disease Detection and Prediction Using Voting Classifier in Machine Learning"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9085-9470","authenticated-orcid":false,"given":"T. R.","family":"Saravanan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sasi","family":"Rekha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4265-1605","authenticated-orcid":false,"given":"A. Jackulin","family":"Mahariba","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4000-8405","authenticated-orcid":false,"given":"K. S. Kavitha","family":"Kumari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2540-0065","authenticated-orcid":false,"given":"N.","family":"Kanimozhi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sridhar","family":"Udhayakumar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,9,29]]},"reference":[{"issue":"5","key":"21_CR1","doi-asserted-by":"publisher","first-page":"1573","DOI":"10.1109\/TBME.2021.3116935","volume":"69","author":"C Laganas","year":"2022","unstructured":"Laganas, C., et al.: Parkinson\u2019s disease detection based on running speech data from phone calls. IEEE Trans. Biomed. Eng. 69(5), 1573\u20131584 (2022). https:\/\/doi.org\/10.1109\/TBME.2021.3116935","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"21_CR2","doi-asserted-by":"publisher","first-page":"147635","DOI":"10.1109\/ACCESS.2020.3016062","volume":"8","author":"W Wang","year":"2020","unstructured":"Wang, W., Lee, J., Harrou, F., Sun, Y.: Early detection of Parkinson\u2019s disease using deep learning and machine learning. IEEE Access 8, 147635\u2013147646 (2020)","journal-title":"IEEE Access"},{"key":"21_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/JTEHM.2019.2940900","volume":"7","author":"L Ali","year":"2019","unstructured":"Ali, L., Zhu, C., Zhang, Z., Liu, Y.: Automated detection of parkinson\u2019s disease based on multiple types of sustained phonations using linear discriminant analysis and genetically optimized neural network. IEEE J. Transl. Eng. Health Med. 7, 1\u201310 (2019)","journal-title":"IEEE J. Transl. Eng. Health Med."},{"key":"21_CR4","doi-asserted-by":"crossref","unstructured":"Grover, S., Bhartia, S., Akshama, Yadav, A., Seeja, K.R.: Predicting severity of Parkinson\u2019s disease using deep learning. Procedia Comput. Sci. 132, 1788\u20131794 (2018)","DOI":"10.1016\/j.procs.2018.05.154"},{"key":"21_CR5","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1007\/978-3-642-13923-9_33","volume-title":"Medical Biometrics","author":"P-F Guo","year":"2010","unstructured":"Guo, P.-F., Bhattacharya, P., Kharma, N.: Advances in detecting Parkinson\u2019s disease. In: Zhang, D., Sonka, M. (eds.) Medical Biometrics, pp. 306\u2013314. Springer Berlin Heidelberg, Berlin, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-13923-9_33"},{"key":"21_CR6","doi-asserted-by":"crossref","unstructured":"Sivakumar, M., Hepzibah Christinal, A., Jebasingh, S.: Parkinson\u2019s disease diagnosis using a combined deep learning approach. In: International Conference on Signal Processing and Communication, ICSPC (2021)","DOI":"10.1109\/ICSPC51351.2021.9451719"},{"issue":"2","key":"21_CR7","doi-asserted-by":"publisher","first-page":"549","DOI":"10.1109\/TMI.2020.3031478","volume":"40","author":"Y Zhou","year":"2021","unstructured":"Zhou, Y., Tinaz, S., Tagare, H.D.: Robust bayesian analysis of early-stage parkinson\u2019s disease progression using DaTscan images. IEEE Trans. Med. Imaging 40(2), 549\u2013561 (2021)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"21_CR8","doi-asserted-by":"crossref","unstructured":"Haq, A.U., Ping Li, J., Memon, M.H.: Feature selection based on l1-norm support vector machine and effective recognition system for parkinson\u2019s disease using voice recordings. In: IEEE Access (2019)","DOI":"10.1109\/ACCESS.2019.2906350"},{"issue":"1","key":"21_CR9","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1038\/s41531-018-0046-4","volume":"4","author":"P Farzanehfar","year":"2018","unstructured":"Farzanehfar, P., et al.: Objective measurement in routine care of people with Parkinson\u2019s disease improves outcomes. npj Parkinson\u2019s Disease 4(1), 4 (2018)","journal-title":"npj Parkinson's Disease"},{"issue":"28","key":"21_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3389\/fict.2018.00028","volume":"5","author":"D Iakovakis","year":"2018","unstructured":"Iakovakis, D., et al.: Motor impairment estimates via touchscreen typing dynamics toward Parkinson\u2019s disease detection from data harvested in-the-wild. Front. ICT 5(28), 1\u201313 (2018). https:\/\/doi.org\/10.3389\/fict.2018.00028","journal-title":"Front. ICT"},{"issue":"9","key":"21_CR11","doi-asserted-by":"publisher","first-page":"2559","DOI":"10.1109\/JBHI.2019.2961748","volume":"24","author":"A Papadopoulos","year":"2019","unstructured":"Papadopoulos, A., Kyritsis, K., Klingelhoefer, L., Bostanjopoulou, S., Chaudhuri, K.R., Delopoulos, A.: Detecting Parkinsonian tremor from IMU data collected in-the-wild using deep multiple-instance learning. IEEE J. Biomed. Health Informat. 24(9), 2559\u20132569 (2019)","journal-title":"IEEE J. Biomed. Health Informat."},{"issue":"8","key":"21_CR12","doi-asserted-by":"publisher","first-page":"475","DOI":"10.1007\/s11910-022-01212-8","volume":"22","author":"J Adrissi","year":"2022","unstructured":"Adrissi, J., Fleisher, J.: Moving the dial toward equity in Parkinson\u2019s disease clinical research: a review of current literature and future directions in diversifying PD clinical trial participation. Curr. Neurol. Neurosci. Rep. 22(8), 475\u2013483 (2022)","journal-title":"Curr. Neurol. Neurosci. Rep."},{"issue":"6","key":"21_CR13","doi-asserted-by":"publisher","first-page":"1201","DOI":"10.1007\/s40520-021-02030-7","volume":"34","author":"L Wang","year":"2022","unstructured":"Wang, L., et al.: Effects of dance therapy on non-motor symptoms in patients with Parkinson\u2019s disease: a systematic review and meta-analysis. Aging Clin. Exp. Res. 34(6), 1201\u20131208 (2022). https:\/\/doi.org\/10.1007\/s40520-021-02030-7","journal-title":"Aging Clin. Exp. Res."},{"issue":"8","key":"21_CR14","doi-asserted-by":"publisher","first-page":"5603","DOI":"10.1007\/s00521-022-07256-8","volume":"35","author":"M Martinez-Eguiluz","year":"2023","unstructured":"Martinez-Eguiluz, M., et al.: Diagnostic classification of Parkinson\u2019s disease based on non-motor manifestations and machine learning strategies. Neural Comput. Appl. 35(8), 5603\u20135617 (2023)","journal-title":"Neural Comput. Appl."},{"key":"21_CR15","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1007\/s42979-021-00587-8","volume":"2","author":"P Mekha","year":"2021","unstructured":"Mekha, P., Teeyasuksaet, N.: Hybrid machine learning classifier and ensemble techniques to detect Parkinson\u2019s disease patients. SN Comput. Sci. 2, 189 (2021)","journal-title":"SN Comput. Sci."}],"container-title":["Communications in Computer and Information Science","Deep Sciences for Computing and Communications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-68905-5_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T12:01:06Z","timestamp":1764244866000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-68905-5_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031689048","9783031689055"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-68905-5_21","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"29 September 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IconDeepCom","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Deep Sciences for Computing and Communications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chennai","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":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 April 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 April 2023","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":"icondeepcom2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.srmist.edu.in\/events\/icondeepcom\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}