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    . International Journal of Innovative Research in Information Security, 09 (2): 50-54 (May 2023)1. Muhlenbach, F. and Rakotomalala, R. (2015), “Discretization of Continuous Attributes,” In: Wang, J., Ed., Encyclopedia of Data Warehousing and Mining, Idea Group Reference, 397-402. https://doi.org/10.4018/978-1-59140-557-3.ch076 2. M. Liu, D. Zhang, and D. Shen, “Relationship induced multi- 52 template learning for diagnosis of alzheimer’s disease and mild cognitive impairment,” IEEE transactions on medical imaging, vol. 35, no. 6, p. 1463—1474, (2016). https://doi.org/10.1109/tmi.2016.2515021 3. Abdullah Caliskan, Hasan Badem, A. Baştürk, M.E. Yüksel, “Diagnosis Of The Parkinson Disease By Using Deep Neural Network Classifier”, Journal Of Electrical And Electronics Engineering, (2017):3311-3318 4. M. Abdar and M. Zomorodi-Moghadam, “Impact of Patients’ Gender on Parkinson’s disease using Classification Algorithms” Journal of AI and Data Mining, vol. 6, (2018). 5. Sleigh, J.W.; Olofsen, E.; Dahan, A.; de Goede, J.; Steyn-Ross, A. Entropies of the EEG: The effects of general anaesthesia. In Proceedings of the 5th International Conference on Memory, Awareness and Consciousness, New York, NY, USA, 1–3 June (2019) 6. Tsuda, M., Asano, S., Kato, Y., Murai, K., and Miyazaki, M. (2020). Differential diagnosis of multiple system atrophy with predominant parkinsonism and Parkinson's disease using neural networks. J. Neurol. Sci. 401, 19–26. https://doi.org/10.1016/j.jns.2019.04.014 7. Tysnes, O.-B., and Storstein, A. (2021). Epidemiology of Parkinson's disease. J. Neural Trans. 124, 901–905. https://doi:10.1007/s00702-017-1686-y 8. Parkinson J. An Essay on the Shaking Palsy. London: Sherwood, Neely, and Jones; 1817. pp. 1–16. Google Scholar 9. Twelves D, Perkins KS, Counsell C. Systematic review of incidence studies of Parkinson’s disease. Mov Disord. 2003;18:19–31. PubMed Google Scholar 10. National Institute for Health and Care Excellence (NICE) Parkinson’s disease: diagnosis and management in primary and secondary care. NICE clinical guidelines 35. Jun, 2006. Available https://doi.org/10.1136/heartjnl-2022-321095 http://www.nice.org.uk/guidance/cg35/resources/guidance-parkinsons-disease-pdf. Accessed April 28, 2015. 11. Schrag A, Horsfall L, Walters K, et al. Prediagnostic presentations of Parkinson’s disease in primary care: a case-control study. Lancet Neurol. 2015; PubMed Google Scholar https://doi.org/10.1016/s1474-4422(14)70287-x 12. Parkinson’s Disease Foundation Statistics on Parkinson’s. Available at: www.pdf.org.en/parkinson_statistics Accessed June 19, 2014. 13. Driver JA, Logroscino G, Gaziano JM, et al. Incidence and remaining lifetime risk of Parkinson disease in advanced age. Neurology. 2009;72:32–38. PMC free article PubMed Google Scholar https://doi.org/10.1212/01.wnl.0000341769.50075.bb 14. De Lau LM, Breteler MM. Epidemiology of Parkinson’s disease. 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The role of early-life environmental risk factors in Parkinson disease: what is the evidence? Environ Health Perspect. 2005; PMC free article PubMed Google Scholar https://doi.org/10.1289/ehp.7573 25. Spatola M, Wider C. Genetics of Parkinson’s disease: the yield. Parkinsonism Relat Disord. 2014;20(suppl 1):S35–S38. PubMed Google Scholar https://doi.org/10.1016/s1353-8020(13)70011-7 26. Singleton AB, Farer MJ, Bonifati V. The genetics of Parkinson’s disease: progress and therapeutic implications. Mov Disord. 2013;28:14–23. PMC free article Pu bMed Google Scholar https://doi.org/10.1002/mds.25249 27. Santiago JA, Scherzer CR, Potashkin JA. Network analysis identifies SOD2 mRNA as a potential biomarker for Parkinson’s disease. PLoS One. 2014; PMC free article PubMed Google Scholar https://doi.org/10.1371/journal.pone.0109042 28. Liu R, Guo X, Park Y, et al. Caffeine intake, smoking, and risk of Parkinson disease in men and women. Am J Epidemiol. 2012; PMC free article PubMed Google Scholar https://doi.org/10.1093/aje/kwr451 29. Benmoyal-Segal L, Soreq H. Gene–environment interactions in sporadic Parkinson’s disease. J Neurochem. 2006;97:1740–1755. PubMed Google Scholar https://doi.org/10.1111/j.1471-4159.2006.03937.x 30. Van der Merwe C, Haylett W, Harvey J, et al. Factors influencing the development of early- or late-onset Parkinson’s disease in a cohort of South African patients. S Afr Med J. 2012;102:848–851. PubMed Google Scholar https://doi.org/10.7196/samj.5879 31. Wang G, Pan J, Chen SD. Kinases and kinase signaling pathways: potential therapeutic targets in Parkinson’s disease. Prog Neurobiol. 2012; PubMed Google Scholar https://doi.org/10.1016/j.pneurobio.2012.06.003 32. Gilgun-Sherki Y, Djaldetti R, Melamed E, Offen D. Polymorphism in candidate genes: implications for the risk and treatment of idiopathic Parkinson’s disease. Pharmacogenomics J. 2004;4:291–306. PubMed Google Scholar https://doi.org/10.1038/sj.tpj.6500260 33. Agúndez JA, García-Martín E, Alonso-Navarro H, et al. Anti-Parkinson’s disease drugs and pharmacogenetic considerations. Expert Opin Drug Metab Toxicol. 2013;9:859–874. PubMed Google Scholar https://doi.org/10.1517/17425255.2013.789018 34. Marras C, Goldman SM. Genetics meets environment: evaluating gene–environment interactions in neurologic diseases. Semin Neurol. 2011;31:553–561. PubMed Google Scholar https://doi.org/10.1055/s-0031-1299793 35. Soreq L, Ben-Shaul Y, Israel Z, et al. Meta-analysis of genetic and environmental Parkinson’s disease models reveals a common role of mitochondrial protection pathways. Neurobiol Dis. 2012;45:1018–1030. PubMed Google Scholar https://doi.org/10.1016/j.nbd.2011.12.021 36. Curtin K, Fleckenstein AE, Robison RJ, et al. Methamphetamine/amphetamine abuse and risk of Parkinson’s disease in Utah: a population-based assessment. Drug Alcohol Depend. 2015;146:30–38. PMC free article PubMed Google Scholar https://doi.org/10.1016/j.drugalcdep.2014.10.027 37. Chen JJ, Swope DM. Parkinson’s disease. In: DiPiro JT, Talbert RL, Yee GC, et al., editors. Pharmacotherapy: A Pathophysiologic Approach. 9th ed. New York, New York: McGraw-Hill; 2014. Google Scholar 38. Chade AR, Kasten M, Tanner CM. Nongenetic causes of Parkinson’s disease. J Neural Transm Suppl. 2006;70:147–151. PubMed Google Scholar https://doi.org/10.1007/978-3-211-45295-0_23.
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    , , , , and . IJIRIS:: International Journal of Innovative Research Journal in Information Security, Volume IV (Issue XII): 01-07 (December 2017)1 Hugh A. Chipman, Edward I. George, and Robert E. McCulloch. “Bayesian CART Model Search.” Journal of the American Statistical Association, Vol. 93(443), pp 935–948, September 1998. 2 Sujata Garera, Niels Provos, Monica Chew, and Aviel D. Rubin. “A framework for detection and measurement of phishing attacks.” In Proceedings of the 2007 ACM workshop on Recurring malicious code - WORM ’07, page 1, 2007. 3 Abhishek Gattani, AnHai Doan, Digvijay S. Lamba, NikeshGarera, Mitul Tiwari, Xiaoyong Chai, Sanjib Das, Sri Subramaniam, AnandRajaraman, and VenkyHarinarayan. “Entity extraction, linking, classifica- tion, and tagging for social media.” Proceedings of the VLDB Endowment, Vol. 6(11), pp 1126–1137, August 2013. 4 David D. Lewis. Naive (Bayes) at forty: The independence assumption in information retrieval. pages 4–15. 1998. 5 Justin Ma, Lawrence K. Saul, Stefan Savage, and Geoffrey M. Voelker. “Learning to detect malicious URLs.” ACM Transactions on Intelligent Systems and Technology, Vol. 2(3), pp 1–24, April 2011. 6 FadiThabtah Maher Aburrous, M.A.Hossain, KeshavDahal. “Intelligent phishing detection system for e-banking using fuzzy data mining.” Expert Systems with Applications, Vol. 37(12), pp 7913–7921, Dec 2010. 7 AnkushMeshram and Christian Haas. “Anomaly Detection in Industrial. Networks using Machine Learning: A Roadmap.” In Machine Learning for Cyber Physical Systems, pages 65–72. Springer Berlin Heidelberg, Berlin, Heidelberg, 2017. 8 Xuequn Wang Nik Thompson,Tanya Jane McGill. “Security begins at home: Determinants of home computer and mobile device security behavior.” Computers & Security, Vol. 70, pp 376–391, Sep 2017. 9 Dan Steinberg and Phillip Colla. “CART: Classification and Regression Trees.” The Top Ten Algorithms in Data Mining, pp 179–201, 2009. 10 D. Teal. “Information security techniques including detection, interdiction and/or mitigation of memory injection attacks,” Google patents. Oct 2013. 11 Kurt Thomas, Chris Grier, Justin Ma, Vern Paxson, and Dawn Song. “Design and Evaluation of a Real-Time URL Spam Filtering Service.” In 2011 IEEE Symposium on Security and Privacy, pp 447–462. May 2011. 12 Sean Whalen, Nathaniel Boggs, and Salvatore J. Stolfo. “Model Aggregation for Distributed Content Anomaly Detection.” In Proceedings of the 2014 Workshop on Artificial Intelligent and Security Workshop - AISec ’14, pp 61–71, New York, USA, 2014. ACM Press. 13 Ying Yang and Geoffrey I. Webb. “Discretization for Naive-Bayes learning: managing a discretization bias and variance.” Machine Learning, Vol. 74(1), pp 39–74, Jan 2009..
    6 years ago by @ijiris
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