Choice of refractive surgery types for myopia assisted by machine learning based on doctors' surgical selection data

• Published in: BMC medical informatics and decision making Vol. 24; no. 1; p. 41
• Main Authors: Li, Jiajing, Dai, Yuanyuan, Mu, Zhicheng, Wang, Zhonghai, Meng, Juan, Meng, Tao, Wang, Jimin
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 08.02.2024; BioMed Central; BMC
• Subjects: Artificial intelligence; Back propagation networks; Care and treatment; Clinical decision making; Cornea; Data loss; Data mining; Datasets; Decision making; Decision support systems; Eye; Humans; Intraocular lenses; Learning algorithms; Machine Learning; Mathematical models; Medical science; Methods; Myopia; Myopia - surgery; Neural networks; Ophthalmologists; Ophthalmology; Patients; Practice; Quality of Life; Random forest; Refractive surgery; Refractive Surgical Procedures; SMOTE; Statistical analysis; Surgery; Technology application; Visual Acuity; China; Random forest; SMOTE; Data mining; Machine learning; Refractive surgery

In recent years, corneal refractive surgery has been widely used in clinics as an effective means to restore vision and improve the quality of life. When choosing myopia-refractive surgery, it is necessary to comprehensively consider the differences in equipment and technology as well as the specifi...