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

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 International Consensus on Antinuclear Antibody Patter...

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Detalles Bibliográficos
Autores principales: Wu, Yi-Da, Sheu, Ruey-Kai, Chung, Chih-Wei, Wu, Yen-Ching, Ou, Chiao-Chi, Hsiao, Chien-Wen, Chang, Huang-Chen, Huang, Ying-Chieh, Chen, Yi-Ming, Lo, Win-Tsung, Chen, Lun-Chi, Huang, Chien-Chung, Hsieh, Tsu-Yi, Huang, Wen-Nan, Yen, Tsai-Hung, Chen, Yun-Wen, Chen, Chia-Yu, Chen, Yi-Hsing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8066559/
https://www.ncbi.nlm.nih.gov/pubmed/33916234
http://dx.doi.org/10.3390/diagnostics11040642

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8066559/
https://www.ncbi.nlm.nih.gov/pubmed/33916234
http://dx.doi.org/10.3390/diagnostics11040642

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