Comparison of feature selection techniques in classifying stroke documents

The amount of digital biomedical literature grows that make most of the researchers facing the difficulties to manage and retrieve the required information from the Internet because this task is very challenging. The application of text classification on biomedical literature is one of the solutions...

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Bibliographic Details
Main Authors: Nur Syaza Izzati, Mohd Rafei, Rohayanti, Hassan, Saedudin, R. D. Rohmat, Anis Farihan, Mat Raffei, Zalmiyah, Zakaria, Shahreen, Kasim
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2019
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/25304/
http://umpir.ump.edu.my/id/eprint/25304/
http://umpir.ump.edu.my/id/eprint/25304/
http://umpir.ump.edu.my/id/eprint/25304/1/18512-34084-1-PB_2.pdf

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