{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T10:55:32Z","timestamp":1742986532618,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":18,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819922635"},{"type":"electronic","value":"9789819922642"}],"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\/978-981-99-2264-2_13","type":"book-chapter","created":{"date-parts":[[2023,5,11]],"date-time":"2023-05-11T10:56:15Z","timestamp":1683802575000},"page":"155-163","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Analysis of\u00a0Classification Algorithms for\u00a0Predicting Parkinson\u2019s Disease and\u00a0Applications in\u00a0the\u00a0Field of\u00a0Cybersecurity"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5914-7053","authenticated-orcid":false,"given":"U.","family":"Sumalatha","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7797-1399","authenticated-orcid":false,"given":"K.","family":"Krishna Prakasha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3826-1084","authenticated-orcid":false,"given":"Srikanth","family":"Prabhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4614-235X","authenticated-orcid":false,"given":"Vinod C.","family":"Nayak","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,5,12]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Harvey, J., et al.: Machine learning-based prediction of cognitive outcomes in Parkinson\u2019s disease. MedRxiv (2022)","key":"13_CR1","DOI":"10.1101\/2022.02.02.22270300"},{"issue":"4","key":"13_CR2","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1038\/nrneurol.2017.27","volume":"13","author":"D Aarsland","year":"2017","unstructured":"Aarsland, D., Creese, B., Politis, M., Chaudhuri, K., Weintraub, D., Ballard, C.: Cognitive decline in Parkinson disease. Nat. Rev. Neurol. 13(4), 217\u2013231 (2017)","journal-title":"Nat. Rev. Neurol."},{"issue":"8","key":"13_CR3","doi-asserted-by":"publisher","first-page":"620","DOI":"10.1016\/S1474-4422(17)30122-9","volume":"16","author":"G Liu","year":"2017","unstructured":"Liu, G., et al.: Prediction of cognition in Parkinson\u2019s disease with a clinical-genetic score: a longitudinal analysis of nine cohorts. Lancet Neurol. 16(8), 620\u2013629 (2017)","journal-title":"Lancet Neurol."},{"issue":"1","key":"13_CR4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41531-019-0104-6","volume":"6","author":"T Phongpreecha","year":"2020","unstructured":"Phongpreecha, T., et al.: Multivariate prediction of dementia in Parkinson\u2019s disease. NPJ Parkinson\u2019s Dis. 6(1), 1\u201310 (2020)","journal-title":"NPJ Parkinson\u2019s Dis."},{"issue":"12","key":"13_CR5","doi-asserted-by":"publisher","first-page":"e2136553","DOI":"10.1001\/jamanetworkopen.2021.36553","volume":"4","author":"C James","year":"2021","unstructured":"James, C., Ranson, J.M., Everson, R., Llewellyn, D.J.: Performance of machine learning algorithms for predicting progression to dementia in memory clinic patients. JAMA Netw. Open 4(12), e2136553 (2021)","journal-title":"JAMA Netw. Open"},{"issue":"8","key":"13_CR6","first-page":"2022","volume":"12","author":"A Rana","year":"2003","unstructured":"Rana, A., Dumka, A., Singh, R., Panda, M.K., Priyadarshi, N., Twala, B.: Imperative role of machine learning algorithm for detection of Parkinson\u2019s disease: review, challenges, and recommendations. Diagnostics 12(8), 2022 (2003)","journal-title":"Diagnostics"},{"doi-asserted-by":"publisher","unstructured":"Khraisat, A., Gondal, I., Vamplew, P., Kamruzzaman, J.: Survey of intrusion detection systems: techniques, datasets and challenges. Cybersecurity 2(1) (2019). Article number: 20. https:\/\/doi.org\/10.1186\/s42400-019-0038-7","key":"13_CR7","DOI":"10.1186\/s42400-019-0038-7"},{"doi-asserted-by":"crossref","unstructured":"Asmae, O., Abdelhadi, R., Bouchaib, C., Sara, S., Tajeddine, K.: Parkinson\u2019s disease identification using KNN and ANN Algorithms based on Voice Disorder. In: 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) (2020)","key":"13_CR8","DOI":"10.1109\/IRASET48871.2020.9092228"},{"doi-asserted-by":"crossref","unstructured":"Agarwal, A., Chandrayan, S., Sahu, S.S.: Prediction of Parkinson\u2019s disease using speech signal with Extreme Learning Machine. In: International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT) (2016)","key":"13_CR9","DOI":"10.1109\/ICEEOT.2016.7755419"},{"key":"13_CR10","series-title":"Lecture Notes in Networks and Systems","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1007\/978-981-19-4193-1_23","volume-title":"Emerging Technologies in Data Mining and Information Security","author":"M Bansal","year":"2023","unstructured":"Bansal, M., Upali, S.J.R., Sharma, S.: Early Parkinson disease detection using audio signal processing. In: Dutta, P., Chakrabarti, S., Bhattacharya, A., Dutta, S., Piuri, V. (eds.) Emerging Technologies in Data Mining and Information Security. LNNS, vol. 491, pp. 243\u2013250. Springer, Singapore (2023). https:\/\/doi.org\/10.1007\/978-981-19-4193-1_23"},{"key":"13_CR11","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1007\/s40860-021-00141-6","volume":"7","author":"V Mittal","year":"2021","unstructured":"Mittal, V., Sharma, R.K.: Machine learning approach for classification of Parkinson disease using acoustic features. J. Reliable Intell. Environ. 7, 233\u2013239 (2021). https:\/\/doi.org\/10.1007\/s40860-021-00141-6","journal-title":"J. Reliable Intell. Environ."},{"key":"13_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.116113","volume":"189","author":"H Zhao","year":"2022","unstructured":"Zhao, H., Wang, R., Lei, Y., Liao, W.-H., Cao, H., Cao, J.: Severity level diagnosis of Parkinson\u2019s disease by ensemble K-nearest neighbor under imbalanced data. Expert Syst. Appl. 189, 116113 (2022)","journal-title":"Expert Syst. Appl."},{"key":"13_CR13","doi-asserted-by":"publisher","first-page":"366","DOI":"10.1016\/j.future.2018.02.009","volume":"83","author":"E Abdulhay","year":"2018","unstructured":"Abdulhay, E., Arunkumar, N., Narasimhan, K., Vellaiappan, E., Venkatraman, V.: Gait and tremor investigation using machine learning techniques for the diagnosis of Parkinson disease. Future Gener. Comput. Syst. 83, 366\u2013373 (2018)","journal-title":"Future Gener. Comput. Syst."},{"key":"13_CR14","series-title":"Lecture Notes in Networks and Systems","doi-asserted-by":"publisher","first-page":"453","DOI":"10.1007\/978-981-16-2164-2_35","volume-title":"Advanced Computing and Intelligent Technologies","author":"AT Rohit Surya","year":"2022","unstructured":"Rohit Surya, A.T., Yaswanthram, P., Nair, P.R., Rajendra Prasath, S.S., Akella, S.V.V.S.: Prediction of Parkinson\u2019s disease using machine learning models\u2014a classifier analysis. In: Bianchini, M., Piuri, V., Das, S., Shaw, R.N. (eds.) Advanced Computing and Intelligent Technologies. LNNS, vol. 218, pp. 453\u2013460. Springer, Singapore (2022). https:\/\/doi.org\/10.1007\/978-981-16-2164-2_35"},{"issue":"2","key":"13_CR15","doi-asserted-by":"publisher","first-page":"705","DOI":"10.32604\/iasc.2022.022037","volume":"32","author":"I Ahmed","year":"2022","unstructured":"Ahmed, I., Aljahdali, S., Khan, M.S., Kaddoura, S.: Classification of Parkinson disease based on patient\u2019s voice signal using machine learning. Intell. Autom. Soft Comput. 32(2), 705\u2013722 (2022)","journal-title":"Intell. Autom. Soft Comput."},{"doi-asserted-by":"publisher","unstructured":"Sarker, I.H., Kayes, A.S.M., Badsha, S., Alqahtani, H., Watters, P., Ng, A.: Cybersecurity data science: an overview from machine learning perspective. J. Big Data 7(1) (2020). Article number: 41. https:\/\/doi.org\/10.1186\/s40537-020-00318-5","key":"13_CR16","DOI":"10.1186\/s40537-020-00318-5"},{"key":"13_CR17","series-title":"Lecture Notes in Electrical Engineering","doi-asserted-by":"publisher","first-page":"885","DOI":"10.1007\/978-981-10-7901-6_95","volume-title":"Advances in Communication, Devices and Networking","author":"I Dutt","year":"2018","unstructured":"Dutt, I., Borah, S., Maitra, I.K., Bhowmik, K., Maity, A., Das, S.: Real-time hybrid intrusion detection system using machine learning techniques. In: Bera, R., Sarkar, S.K., Chakraborty, S. (eds.) Advances in Communication, Devices and Networking. LNEE, vol. 462, pp. 885\u2013894. Springer, Singapore (2018). https:\/\/doi.org\/10.1007\/978-981-10-7901-6_95"},{"issue":"9","key":"13_CR18","doi-asserted-by":"publisher","first-page":"2067","DOI":"10.3390\/s17092067","volume":"17","author":"H Jeon","year":"2017","unstructured":"Jeon, H., et al.: Automatic classification of tremor severity in Parkinson\u2019s disease using a wearable device. Sensors 17(9), 2067 (2017)","journal-title":"Sensors"}],"container-title":["Communications in Computer and Information Science","Applications and Techniques in Information Security"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-2264-2_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,11]],"date-time":"2023-05-11T10:59:07Z","timestamp":1683802747000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-2264-2_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9789819922635","9789819922642"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-2264-2_13","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"12 May 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ATIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Applications and Techniques in Information Security","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Manipal","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":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 December 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 December 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"atis2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.atis2022.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}