Application of supervised machine learning to recognize competent level and mixed antinuclear antibody patterns based on icap international consensus

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*

*此作品的通信作者

研究成果: Article同行評審

2 引文 斯高帕斯(Scopus)

摘要

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 Patterns (ICAP) at a competent level, mixed patterns recognition, and evaluated their consistency with human reading. Methods: 51,694 human epithelial cells (HEp-2) cell images with patterns assigned by experienced medical technologists collected in a medical center were used to train six machine learning algorithms and were compared by their performance. Next, we choose the best performing model to test the consistency with five experienced readers and two beginners. Results: The mean F1 score in each classification of the best performing model was 0.86 evaluated by Testing Data 1. For the inter-observer agreement test on Testing Data 2, the average agreement was 0.849 (k) among five experienced readers, 0.844 between the best performing model and experienced readers, 0.528 between experienced readers and beginners. The results indicate that the proposed model outperformed beginners and achieved an excellent agreement with experienced readers. Conclusions: This study demonstrated that the developed model could reach an excellent agreement with experienced human readers using machine learning methods.

原文English
文章編號642
期刊Diagnostics
11
發行號4
DOIs
出版狀態Published - 1 4月 2021

指紋

深入研究「Application of supervised machine learning to recognize competent level and mixed antinuclear antibody patterns based on icap international consensus」主題。共同形成了獨特的指紋。

引用此