Applying data mining technique to predict Rheumatoid Arthritis patients’ prognosis
碩士 === 國立中正大學 === 醫療資訊管理研究所 === 101 === Rheumatoid arthritis is a chronic systemic inflammatory disease of unknown etiology that primarily targets synovial tissues. In clinical practice, initial treatments are usually chosen according to the degree of disease activity at baseline, and adapted accord...
Main Authors: | Wu, Jianntugy, 吳建廷 |
---|---|
Other Authors: | Chang, Ichiu |
Format: | Others |
Language: | zh-TW |
Published: |
2013
|
Online Access: | http://ndltd.ncl.edu.tw/handle/bq29pw |
Similar Items
-
Applying Data Mining Techniques for Predicting Prognosis in Patients with Rheumatoid Arthritis
by: Chien-Ting Wu, et al.
Published: (2020-04-01) -
Repurposing haloperidol for the treatment of rheumatoid arthritis: an integrative approach using data mining techniques
by: Chihiro Nakagawa, et al.
Published: (2021-09-01) -
Applying Data Mining Techniques To Exploring The Guideline Adherence, And Predicting The Prognosis Of Chronic Obstructive Pulmonary Disease
by: Hsu, Chia-Mei, et al.
Published: (2012) -
Applying Data Mining Techniques for Predicting the Click-Through Rate of Advertisement
by: Wu, Han-Chun, et al.
Published: (2015) -
From Rheumatoid Factor to Anti-Citrullinated Protein Antibodies and Anti-Carbamylated Protein Antibodies for Diagnosis and Prognosis Prediction in Patients with Rheumatoid Arthritis
by: Chao-Yi Wu, et al.
Published: (2021-01-01)