Real-time Classification and Hepatitis B Detection with Evolutionary Data Mining Approach
Hepatitis is a disease that occurs in all ages and levels of the life of people. Hepatitis disease does not only have a deadly effect, but its identification, diagnosis, and early detection can help to treat the disease in the body and care and maintenance. Hepatitis has a variety of types that this...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Bilijipub publisher
2023-03-01
|
| Series: | Advances in Engineering and Intelligence Systems |
| Subjects: | |
| Online Access: | https://aeis.bilijipub.com/article_169081_8115c362bcfee4c4f2c95956aa883dfa.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1823856447048384512 |
|---|---|
| author | Asadi Srinivasulu Goddindla Sreenivasulu Olutayo Oyeyemi Oyerinde |
| author_facet | Asadi Srinivasulu Goddindla Sreenivasulu Olutayo Oyeyemi Oyerinde |
| author_sort | Asadi Srinivasulu |
| collection | DOAJ |
| description | Hepatitis is a disease that occurs in all ages and levels of the life of people. Hepatitis disease does not only have a deadly effect, but its identification, diagnosis, and early detection can help to treat the disease in the body and care and maintenance. Hepatitis has a variety of types that this type of study deals with hepatitis B. In this research, a new classification approach is developed for the diagnosis of hepatitis B disease using an optimized deep-learning method. This method, which involves the automatic extraction of features with minimum redundancy and minimum possible dimensions, and then modeling data from a low to a high level, can be used as a data mining method in the discovery and extraction of knowledge in computer-aided medical systems to be employed. Also, a series of evaluation criteria, including accuracy, to compare with the previous methods and to ensure the proposed approach is presented. |
| format | Article |
| id | doaj-art-ab7facd695234e79973bd04b8e25d188 |
| institution | Kabale University |
| issn | 2821-0263 |
| language | English |
| publishDate | 2023-03-01 |
| publisher | Bilijipub publisher |
| record_format | Article |
| series | Advances in Engineering and Intelligence Systems |
| spelling | doaj-art-ab7facd695234e79973bd04b8e25d1882025-02-12T08:47:02ZengBilijipub publisherAdvances in Engineering and Intelligence Systems2821-02632023-03-0100201627010.22034/aeis.2023.384167.1074169081Real-time Classification and Hepatitis B Detection with Evolutionary Data Mining ApproachAsadi Srinivasulu0Goddindla Sreenivasulu1Olutayo Oyeyemi Oyerinde2Data Science Research Laboratory, Blue Crest University, Monrovia, 1000, LiberiaSri Venkateswara University, Tirupati, Andhra Pradesh, 517501, IndiaSchool of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, 2050, South AfricaHepatitis is a disease that occurs in all ages and levels of the life of people. Hepatitis disease does not only have a deadly effect, but its identification, diagnosis, and early detection can help to treat the disease in the body and care and maintenance. Hepatitis has a variety of types that this type of study deals with hepatitis B. In this research, a new classification approach is developed for the diagnosis of hepatitis B disease using an optimized deep-learning method. This method, which involves the automatic extraction of features with minimum redundancy and minimum possible dimensions, and then modeling data from a low to a high level, can be used as a data mining method in the discovery and extraction of knowledge in computer-aided medical systems to be employed. Also, a series of evaluation criteria, including accuracy, to compare with the previous methods and to ensure the proposed approach is presented.https://aeis.bilijipub.com/article_169081_8115c362bcfee4c4f2c95956aa883dfa.pdfhepatitis bclassificationdata miningdeep learning |
| spellingShingle | Asadi Srinivasulu Goddindla Sreenivasulu Olutayo Oyeyemi Oyerinde Real-time Classification and Hepatitis B Detection with Evolutionary Data Mining Approach Advances in Engineering and Intelligence Systems hepatitis b classification data mining deep learning |
| title | Real-time Classification and Hepatitis B Detection with Evolutionary Data Mining Approach |
| title_full | Real-time Classification and Hepatitis B Detection with Evolutionary Data Mining Approach |
| title_fullStr | Real-time Classification and Hepatitis B Detection with Evolutionary Data Mining Approach |
| title_full_unstemmed | Real-time Classification and Hepatitis B Detection with Evolutionary Data Mining Approach |
| title_short | Real-time Classification and Hepatitis B Detection with Evolutionary Data Mining Approach |
| title_sort | real time classification and hepatitis b detection with evolutionary data mining approach |
| topic | hepatitis b classification data mining deep learning |
| url | https://aeis.bilijipub.com/article_169081_8115c362bcfee4c4f2c95956aa883dfa.pdf |
| work_keys_str_mv | AT asadisrinivasulu realtimeclassificationandhepatitisbdetectionwithevolutionarydataminingapproach AT goddindlasreenivasulu realtimeclassificationandhepatitisbdetectionwithevolutionarydataminingapproach AT olutayooyeyemioyerinde realtimeclassificationandhepatitisbdetectionwithevolutionarydataminingapproach |