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Deep learning algorithms for detection of diabetic retinopathy in retinal fundus photographs: A systematic review and meta-analysis., , , , and . Comput. Methods Programs Biomed., (2020)Prediction of sepsis patients using machine learning approach: A meta-analysis., , , , , and . Comput. Methods Programs Biomed., (2019)Deep Learning Approach for the Development of a Novel Predictive Model for Prostate Cancer., , , , , and . MIE, volume 270 of Studies in Health Technology and Informatics, page 1241-1242. IOS Press, (2020)Risk of Acute Myocardial Infarction in Patients with Rheumatic Arthritis: A National-Wide Population-Based Cohort Study., , , and . MedInfo, volume 264 of Studies in Health Technology and Informatics, page 1494-1495. IOS Press, (2019)Artificial Intelligence in Diabetic Retinopathy: Insights from a Meta-Analysis of Deep Learning., , , , , and . MedInfo, volume 264 of Studies in Health Technology and Informatics, page 1556-1557. IOS Press, (2019)Deep Learning for Accurate Diagnosis of Glaucomatous Optic Neuropathy Using Digital Fundus Image: A Meta-Analysis., , , , and . MIE, volume 270 of Studies in Health Technology and Informatics, page 153-157. IOS Press, (2020)Early Diabetes Prediction: A Comparative Study Using Machine Learning Techniques., , and . ICIMTH, volume 295 of Studies in Health Technology and Informatics, page 409-413. IOS Press, (2022)Artificial intelligence in diabetic retinopathy: Bibliometric analysis., , , , and . Comput. Methods Programs Biomed., (April 2023)Deep into Patient care: An automated deep learning approach for reshaping patient care in clinical setting., , and . Comput. Methods Programs Biomed., (2019)An artificial intelligence approach to early predict non-ST-elevation myocardial infarction patients with chest pain., , , , , , , and . Comput. Methods Programs Biomed., (2019)