Výsledky vyhledávání - "Chih Wei Chung"

Akademický článek

Machine learning approaches to identify systemic lupus erythematosus in anti-nuclear antibody-positive patients using genomic data and electronic health records

Autor: Chih-Wei Chung, Seng-Cho Chou, Tzu-Hung Hsiao, Grace Joyce Zhang, Yu-Fang Chung, Yi-Ming Chen

Publikováno v: BioData Mining, Vol 17, Iss 1, Pp 1-15 (2024)

Abstract Background Although the 2019 EULAR/ACR classification criteria for systemic lupus erythematosus (SLE) has required at least a positive anti-nuclear antibody (ANA) titer (≥ 1:80), it remains challenging for clinicians to identify patients w

Externí odkaz: https://doaj.org/article/36a865be72a34774b2c2c4a6258181fe

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Akademický článek

Machine learning approaches for the genomic prediction of rheumatoid arthritis and systemic lupus erythematosus

Autor: Chih-Wei Chung, Tzu-Hung Hsiao, Chih-Jen Huang, Yen-Ju Chen, Hsin-Hua Chen, Ching-Heng Lin, Seng-Cho Chou, Tzer-Shyong Chen, Yu-Fang Chung, Hwai-I Yang, Yi-Ming Chen

Publikováno v: BioData Mining, Vol 14, Iss 1, Pp 1-13 (2021)

Abstract Background Rheumatoid arthritis (RA) and systemic lupus erythematous (SLE) are autoimmune rheumatic diseases that share a complex genetic background and common clinical features. This study’s purpose was to construct machine learning (ML)

Externí odkaz: https://doaj.org/article/45d3b0afe0b44779a84e645e9732f102

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Akademický článek

Risk prediction for 30-day mortality among patients with Clostridium difficile infections: a retrospective cohort study

Autor: Hsiu-Yin Chiang, Han-Chun Huang, Chih-Wei Chung, Yi-Chun Yeh, Yi-Chin Chen, Ni Tien, Hsiu-Shan Lin, Mao-Wang Ho, Chin-Chi Kuo

Publikováno v: Antimicrobial Resistance and Infection Control, Vol 8, Iss 1, Pp 1-11 (2019)

Abstract Background Current guidelines have unsatisfied performance in predicting severe outcomes after Clostridium difficile infection (CDI). Our objectives were to develop a risk prediction model for 30-day mortality and to examine its performance

Externí odkaz: https://doaj.org/article/2c47d81509084a37bdbc6a8d60275d01

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Akademický článek

Longitudinal lipid trends and adverse outcomes in patients with CKD: a 13-year observational cohort study[S]

Autor: Ching-Wei Tsai, Han-Chun Huang, Hsiu-Yin Chiang, Chih-Wei Chung, Shih-Ni Chang, Pei-Lun Chu, Chin-Chi Kuo

Publikováno v: Journal of Lipid Research, Vol 60, Iss 3, Pp 648-660 (2019)

Studies on the effects of longitudinal lipid trajectories on end-stage renal disease (ESRD) development and deaths among patients with chronic kidney disease (CKD) are limited. We conducted a registry-based prospective study using data from a 13-year

Externí odkaz: https://doaj.org/article/34286f451e4847c59cc26973a609115d

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Akademický článek

First-4-week erythrocyte sedimentation rate variability predicts erythrocyte sedimentation rate trajectories and clinical course among patients with pyogenic vertebral osteomyelitis.

Autor: Hsiu-Yin Chiang, Chih-Wei Chung, Chin-Chi Kuo, Yen-Chun Lo, Wei-Shuo Chang, Chih-Yu Chi

Publikováno v: PLoS ONE, Vol 14, Iss 12, p e0225969 (2019)

BackgroundThe trajectory pattern of erythrocyte sedimentation rate (ESR) in patients with pyogenic vertebral osteomyelitis (PVO) and its clinical significance is unclear. We further evaluated whether the first-4-week ESR variability can predict the t

Externí odkaz: https://doaj.org/article/f18c7b3e11ec49628c736416768ca3e8

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Akademický článek

Application of Supervised Machine Learning to Recognize Competent Level and Mixed Antinuclear Antibody Patterns Based on ICAP International Consensus

Autor: Yi-Da Wu, Ruey-Kai Sheu, Chih-Wei Chung, Yen-Ching Wu, Chiao-Chi Ou, Chien-Wen Hsiao, Huang-Chen Chang, Ying-Chieh Huang, Yi-Ming Chen, Win-Tsung Lo, Lun-Chi Chen, Chien-Chung Huang, Tsu-Yi Hsieh, Wen-Nan Huang, Tsai-Hung Yen, Yun-Wen Chen, Chia-Yu Chen, Yi-Hsing Chen

Publikováno v: Diagnostics, Vol 11, Iss 4, p 642 (2021)

Background: Antinuclear antibody pattern recognition is vital for autoimmune disease diagnosis but labor-intensive for manual interpretation. To develop an automated pattern recognition system, we established machine learning models based on the Inte

Externí odkaz: https://doaj.org/article/7ffbf93dd37b4c9690001059a08b2ba8

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