KASALLIKNI BIRLAMCHI DIAGNOSTIKASINING NEYRON TARMOQLARGA ASOSLANGAN USULLARI
Keywords:
Kalit so'zlar: EKG,RNN,NLP,LSTM,sun'iy neyron,diagnostika,tashxis,sun'iy intellect,akson,sigmoid funksiya.Abstract
Annotatsiya: Sun'iy neyron tarmoqlari yuqori aniqlik bilan tashxis qo'yishi mumkin va eng muhimi, bunday texnologiya asosiy tashxis yoki kuzatuvni aniqlash uchun ishlatilishi mumkin. Ushbu maqolada bemorlar birlamchi o'z-o'zini tashxislash uchun sun'iy neyron tarmoqlarga asoslangan usul yordamida algoritm va dastur yaratish masalasi qaraladi.
References
Blumenthal, D., & Tavenner, M. (2010). The "meaningful use" regulation for electronic health records. New England Journal of Medicine, 363(6), 501-504.
Esteva, A., et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature, 2017. 542(7639), 115-118.
Coudray, N., et al. Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning. Nature Medicine, 2018. 24(10), 1559-1567.
Attia, Z. I., et al. An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction. The Lancet, 2019. 394(10201), 861-867.
Haenssle, H. A., et al. Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists. Annals of Oncology, 2018. 29(8), 1836-1842.