International Journal Of Engineering Technology And Management Sciences

AUTHOR(S)

Prasenjit Maity, Arup Kumar Dey, Krishna Prasad Singha, Dr. Avijit Kumar Chaudhuri,Mrs. Sulekha Das

DOI: https://doi.org/10.46647/ijetms.2023.v07i02.023

ABSTRACT
Viral hepatitis is the inflammation and damage of liver cells due to infection. There are different causes of hepatitis, but the symptoms can be similar. As of 30 June 2022, 473 cases of acute hepatitis of unknown aetiology among children aged 16 years and under have been reported from the World Health Organization European Region. Simply more than (56.7%) of these cases have been reported from the UK. The majority (76.1%) of reported cases are five years old or younger. In this review, some machine learning order procedures are applied to Hepatitis informational index procured from UCI AI Storehouse. Naïve Bayes Classifier, Logistic Regression, and J48 Decision Tree are utilized as grouping algorithms and they have been contrasted agreeing with the filter-based selection method. For channel-based feature determination, Cfs Subset Eval, Data Gain Attribute Eval, and Principal Components have been utilized and their presentation of them is assessed as far as accuracy, review, F-Measure, and ROC Region. Among the pre-owned classification algorithms, Naïve Bayes Classifier has higher classification accuracy on the data set than the others with applied and nonapplied filter-based feature choices. Additionally, we proclaim that the best filter-based feature choice is Principal Components because of the highest classification precision for hepatitis patients.

Page No: 181 - 194

References:

1. Daniels, D. (2009). Centers for Disease Control and Prevention (CDC). Surveillance for acute viral hepatitis-United States, 2007. MMWR Surveil Summ, 58, 1-27.
2. Klevens, R. M., Miller, J. T., Iqbal, K., Thomas, A., Rizzo, E. M., Hanson, H., ... & Spradling, P. (2010). The evolving epidemiology of hepatitis a in the United States: incidence and molecular epidemiology from population-based surveillance, 2005-2007. Archives of internal medicine, 170(20), 1811-1818.
3. Bohm, S. R., Berger, K. W., Hackert, P. B., Renas, R., Brunette, S., Parker, N., ... & Teshale, E. H. (2015). Hepatitis A outbreak among adults with developmental disabilities in group homes—Michigan, 2013. Morbidity and mortality weekly report, 64(6), 148.
4. Koenig, K. L., Shastry, S., & Burns, M. J. (2017). Hepatitis A virus: essential knowledge and a novel identify-isolate-inform tool for frontline healthcare providers. Western Journal of Emergency Medicine, 18(6), 1000.
5. Peak, C. M., Stous, S. S., Healy, J. M., Hofmeister, M. G., Lin, Y., Ramachandran, S., ... & McDonald, E. C. (2020). Homelessness and hepatitis A—san diego county, 2016–2018. Clinical infectious diseases, 71(1), 14-21.
6. Update, E. (2017). hepatitis A outbreak in the EU/EEA mostly affecting men who have sex with men.
7. Gozlan, Y., Bar-Or, I., Rakovsky, A., Savion, M., Amitai, Z., Sheffer, R., ... & Mor, O. (2017). Ongoing hepatitis A among men who have sex with men (MSM) linked to outbreaks in Europe in Tel Aviv area, Israel, December 2016–June 2017. Eurosurveillance, 22(29), 30575.
8. Latash, J., Dorsinville, M., Del Rosso, P., Antwi, M., Reddy, V., Waechter, H., ... & Balter, S. (2017). Notes from the field: increase in reported hepatitis A infections among men who have sex with men—New York City, January–August 2017. Morbidity and Mortality Weekly Report, 66(37), 999.
9. Connelly, L. (2020). Logistic regression. Medsurg Nursing, 29(5), 353-354.
10. Tzeng, E., Devin, C., Hoffman, J., Finn, C., Abbeel, P., Levine, S., ... & Darrell, T. (2020). Adapting deep visuomotor representations with weak pairwise constraints. In Algorithmic Foundations of Robotics XII: Proceedings of the Twelfth Workshop on the Algorithmic Foundations of Robotics (pp. 688-703). Springer International Publishing.
11. Jabbar, M. A., & Samreen, S. (2016, October). Heart disease prediction system based on hidden naïve bayes classifier. In 2016 International Conference on Circuits, Controls, Communications and Computing (I4C) (pp. 1-5). IEEE.
12. Zhang, L., Zhou, W., & Jiao, L. (2004). Wavelet support vector machine. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 34(1), 34-39..
13. Ayat, N. E., Cheriet, M., & Suen, C. Y. (2005). Automatic model selection for the optimization of SVM kernels. Pattern Recognition, 38(10), 1733-1745.
14. Chaudhuri, A. K., Ray, A., Banerjee, D. K., & Das, A. (2021). A multi-stage approach combining feature selection with machine learning techniques for higher prediction reliability and accuracy in cervical cancer diagnosis. Int J Intell Syst Appl, 13(5), 46-63.
15. Loh, W. Y. (2011). Classification and regression trees. Wiley interdisciplinary reviews: data mining and knowledge discovery, 1(1), 14-23. [16] L. Breiman, “Random forests,” Mach. Learn., vol. 45, pp. 5-32, 2001.
16. Liaw, A., & Wiener, M. (2002). Classification and regression by randomForest. R news, 2(3), 18-22.
17. Ray, A., & Chaudhuri, A. K. (2021). Smart healthcare disease diagnosis and patient management: Innovation, improvement and skill development. Machine Learning with Applications, 3, 100011.
18. Chalak, L. F., Pavageau, L., Huet, B., & Hynan, L. (2020). Statistical rigor and kappa considerations: which, when and clinical context matters. Pediatric research, 88(1), 5-5.
19. Chalak, L. F., Pavageau, L., Huet, B., & Hynan, L. (2020). Statistical rigor and kappa considerations: which, when and clinical context matters. Pediatric research, 88(1), 5-5.
20. Nusrath Unnisa A; Manjula Yerva; Kurian M Z. "Review on Intrusion Detection System (IDS) for Network Security using Machine Learning Algorithms". International Research Journal on Advanced Science Hub, 4, 03, 2022, 67-74. doi: 10.47392/irjash.2022.014
21. Mohammadibrahim Korti; Basavaraj S. Malapur; Smita Gour; Rajesh M. Biradar. "Shuchi 1.0: Robotic System For Automatic Segregation of Waste & Floor Cleaning". International Research Journal on Advanced Science Hub, 4, 02, 2022, 31-37. doi: 10.47392/irjash.2022.007
22. Bhuneshwari Nayak; Rachana Choudhary; Roymon M. G.. "Isolation, Screening and Morpho-logical characterization of Laccase producing fungi". International Research Journal on Advanced Science Hub, 4, 02, 2022, 38-43. doi: 10.47392/irjash.2022.008
23. Khaled Salem Ahmad Amayreh; Ahmad Taufik Hidayah Bin Abdullah. "Conjunction in Ex-pository Essay Writing by Jordanian Undergraduate Students Studying English as a Foreign Lan-guage (EFL)". International Research Journal on Advanced Science Hub, 4, 02, 2022, 24-30. doi: 10.47392/irjash.2022.006
24. Pravin T, M. Subramanian, R. Ranjith,Clarifying the phenomenon of Ultrasonic Assisted Elec-tric discharge machining, “Journal of the Indian Chemical Society”, Volume 99, Issue 10, 2022, 100705, ISSN 0019-4522, Doi: 10.1016/j.jics.2022.100705
25. R. Sudhakaran, P.S. Sivasakthivel, M. Subramanian, Investigations on the effect of surface coatings on the weldment properties on chromium manganese stainless steel gas tungsten arc welded plates, Materials Today: Proceedings,Volume 46, Part 17,2021, Pages 8554-8560, ISSN 2214-7853, Doi: 10.1016/j.matpr.2021.03.541
26. Sivalakshmi B; Mahisha sri K.B; Swetha P. "Survey on Mammogram, Ultrasound, MRI, Spec-troscopy, Biopsy for Detecting Tumor in Breast". International Research Journal on Advanced Sci-ence Hub, 3, 2, 2021, 30-37. doi: 10.47392/irjash.2021.027
27. Hari Prasada Raju Kunadharaju; Sandhya N.; Raghav Mehra. "Detection of Brain Tumor Us-ing Unsupervised Enhanced K-Means, PCA and Supervised SVM Machine Learning Algo-rithms". International Research Journal on Advanced Science Hub, 2, Special Issue ICSTM 12S, 2020, 62-67. doi: 10.47392/irjash.2020.262
28. Suresh P; Justin Jayaraj K; Aravintha Prasad VC; Abishek Velavan; Mr Gokulnath. "Deep Learning for Covid-19 Identification: A Comparative Analysis". International Research Journal on Advanced Science Hub, 4, 11, 2022, 272-280. doi: 10.47392/irjash.2022.068
29. Rajesh P.; Vetrivel Govindarasu. "Analyzing and Predicting Covid-19 Dataset in India using Data Mining with Regression Analysis". International Research Journal on Advanced Science Hub, 3, Special Issue 7S, 2021, 91-95. doi: 10.47392/irjash.2021.216
30. Menonjyoti Kalita; Golam Imran Hussain. "Determining the Influencing Factors of COVID 19 on Mental Health Using Neural Network". International Research Journal on Advanced Science Hub, 3, Special Issue 6S, 2021, 126-129. doi: 10.47392/irjash.2021.177
31. Ajitha K; Samuel Joseph C; Mahila Vasanthi Thangam D. "Online marketing of agricultural products during COVID pandemic: Farmers and customers perspectives". International Research Journal on Advanced Science Hub, 3, Special Issue 6S, 2021, 94-101. doi: 10.47392/irjash.2021.173
32. Yeshi Ngima; Dorjee Tsering. "Impact of COVID-19 on Education". International Research Journal on Advanced Science Hub, 2, Special Issue ICAMET 10S, 2020, 34-39. doi: 10.47392/irjash.2020.196
33. Siddavatam rammohan reddy; Balaji krushna potnuru. "3D Printing Innovation during Covid-19 Pandemic". International Research Journal on Advanced Science Hub, 2, 8, 2020, 62-67. doi: 10.47392/irjash.2020.95
34. Pooja Dahiya; Roopsi Kaushik; Anil Sindhu. "Corona virus: an Overview Along with Its Al-ternative Diagnostic Measures". International Research Journal on Advanced Science Hub, 2, Spe-cial Issue ICARD 2020, 2020, 163-169. doi: 10.47392/irjash.2020.113
35. Remya S. "Covid19 and Environment-A Theoretical Review from Higher Education Students Perspective". International Research Journal on Advanced Science Hub, 2, Special Issue ICARD 2020, 2020, 227-230. doi: 10.47392/irjash.2020.124
36. Mohd. Akbar; Prasadu Peddi; Balachandrudu K E. "Inauguration in Development for Data Deduplication Under Neural Network Circumstances". International Research Journal on Advanced Science Hub, 2, 6, 2020, 154-156. doi: 10.47392/irjash.2020.55
37. Salini Suresh; Suneetha V; Niharika Sinha; Sabyasachi Prusty; Sriranga H.A. "Machine Learn-ing: An Intuitive Approach In Healthcare". International Research Journal on Advanced Science Hub, 2, 7, 2020, 67-74. doi: 10.47392/irjash.2020.67
38. Trupti S. Gaikwad; Snehal A. Jadhav; Ruta R. Vaidya; Snehal H. Kulkarni. "Machine learning amalgamation of Mathematics, Statistics and Electronics". International Research Journal on Ad-vanced Science Hub, 2, 7, 2020, 100-108. doi: 10.47392/irjash.2020.72
39. Salini Suresh; Suneetha V; Niharika Sinha; Sabyasachi Prusty. "Latent Approach in Enter-tainment Industry Using Machine Learning". International Research Journal on Advanced Science Hub, 2, Special Issue ICARD 2020, 2020, 304-307. doi: 10.47392/irjash.2020.106
40. Suneetha V; Salini Suresh; Niharika Sinha; Sabyasachi Prusty; Syed Jamal J. "Enhancement in the World of Artificial Intelligence". International Research Journal on Advanced Science Hub, 2, Special Issue ICARD 2020, 2020, 276-280. doi: 10.47392/irjash.2020.132
41. Logeswari T.. "Performance Analysis of Ml Techniques for Spam Filtering". International Re-search Journal on Advanced Science Hub, 2, Special Issue ICIES 9S, 2020, 64-69. doi: 10.47392/irjash.2020.161
42. Hari Prasada Raju Kunadharaju; Sandhya N.; Raghav Mehra. "Detection of Brain Tumor Us-ing Unsupervised Enhanced K-Means, PCA and Supervised SVM Machine Learning Algo-rithms". International Research Journal on Advanced Science Hub, 2, Special Issue ICSTM 12S, 2020, 62-67. doi: 10.47392/irjash.2020.262Export Citation
43. Maneesha M; Savitha V; Jeevika S; Nithiskumar G; Sangeetha K. "Deep Learning Approach For Intelligent Intrusion Detection System". International Research Journal on Advanced Science Hub, 3, Special Issue ICARD-2021 3S, 2021, 45-48. doi: 10.47392/irjash.2021.061
44. Kalki N; Karthick M; Mr Kavin; Keerthana S; Sangeetha K. "Advanced Face Mask Detection System". International Research Journal on Advanced Science Hub, 3, Special Issue ICARD-2021 3S, 2021, 112-115. doi: 10.47392/irjash.2021.076
45. Naveenkumar S; Kirubhakaran R; Jeeva G; Shobana M; Sangeetha K. "Smart Health Predic-tion Using Machine Learning". International Research Journal on Advanced Science Hub, 3, Special Issue ICARD-2021 3S, 2021, 124-128. doi: 10.47392/irjash.2021.079
46. Kavya Shakthi R.P; Kavin Raja A.S; Janani S.R; Sangeetha K. "Industrial Machine Identifica-tion Using Augmented Reality". International Research Journal on Advanced Science Hub, 3, Spe-cial Issue ICARD-2021 3S, 2021, 68-71. doi: 10.47392/irjash.2021.066
47. Salma Begum; Sampurna P.. "A Study on growth in Technology and Innovation across the globe in the Field of Education and Business". International Research Journal on Advanced Science Hub, 3, Special Issue 6S, 2021, 148-156. doi: 10.47392/irjash.2021.181
48. Dhanya S Karanth; Kumaraswamy H.V; Rajesh Kumar. "Workaround prediction of cloud alarms using machine learning". International Research Journal on Advanced Science Hub, 3, 8, 2021, 164-168. doi: 10.47392/irjash.2021.231
49. Gyanendra Kumar Pal; Sanjeev Gangwar. "Discovery of Approaches by Various Machine learning Ensemble Model and Features Selection Method in Critical Heart Disease Diagno-sis". International Research Journal on Advanced Science Hub, 5, 01, 2022, 15-21. doi: 10.47392/irjash.2023.003

How to Cite This Article:
Prasenjit Maity, Arup Kumar Dey, Krishna Prasad Singha, Dr. Avijit Kumar Chaudhuri,Mrs. Sulekha Das . An Approach Combining Feature Selection with Machine Learning Techniques for Prediction Reliability and Accuracy in Hepatitis Diagnosis . ijetms;7(2):181-194. DOI: 10.46647/ijetms.2023.v07i02.023