A multi-classifier method based on deep learning approach for diseases classification
Accurate prediction of diseases classification is vital in the medical-related field. Misclassification of diseases would be detrimental as it may lead to the misdiagnosis and wrong treatment of patients. In medical fields, the most important performance measurement indicators for diseases classific...
Saved in:
Main Author: | Rosaida binti Rosly (Author) |
---|---|
Format: | Thesis Book |
Language: | English |
Subjects: | |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Validation study of Hand, Foot and Mouth Disease (HFMD) questionnaire for caretakers of kindergartens in Kuala Nerus, Terengganu
by: Nurul Asyikin Ahmad -
Nutritional composition of rice field eel, Monopterus albus (Zuiew, 1793) as a potential food source
by: Muslimatun binti Arizal -
Characterization of Plant Growth-Promoting Rhizobacteria (PGPR) Isolated from beach ridges interspersed with swales (BRIS) soil as potential biofertilizer
by: Zakiah Mustapha -
Prevalence of oral disease and its associated factors among primary school children aged 10 to 14 years old in Sirt City, Libya : from parents, perspective
by: Rasha Ibraheim Mohamed Makhyoun -
Prevalence of latent tuberculosis infection and its associated factors among diabetic patients at primary care clinics in Terengganu
by: Nur Fatini Husain