PATIENT DIAGNOSIS RECOMMENDER SYSTEM BASED ON IMPORTANT FEATURES SELECTION
Currently, research on the use of machine learning in the health sector, especially in medicine, is growing, plus existing regulatory support. The need for accurate and timely data analysis related to health problems is essential for disease prevention and treatment. However, most research specif...
Saved in:
Main Author: | Berkat |
---|---|
Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/84264 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
Advanced feature extraction and selection for fault diagnosis and prognosis
by: Zhou, Junhong
Published: (2012) -
Important considerations for recommending hydration studies
by: Lee J.K.W., et al.
Published: (2020) -
Discrete Factorization Machines for Fast Feature-based Recommendation
by: Han Liu, et al.
Published: (2020) -
Are features equally representative? A feature-centric recommendation
by: ZHANG, Chenyi, et al.
Published: (2015) -
Letter to the Editor: Important considerations for recommending hydration studies
by: Lee J.K.W., et al.
Published: (2020)