ADVANTAGES AND APPLICATIONS OF NEURAL NETWORKS

Admin bo'lib kirish (www.admin.slib.uz)

Tizim sinov (TEST) rejimida ishlamoqda! Murojat uchun @slib_support

Eski talqinga o'tish link

14 январ 2022

Asosiy til:Ingliz

ADVANTAGES AND APPLICATIONS OF NEURAL NETWORKS

Fan yo'nalishi:

61e07d3581dac.pdf

PDF

ARES

Maqola chop etish see more

MAQOLA ANNOTATSIYASI

Prediction is an important task in clinical fields. There has been increased interest in using neural networks (NNs) as a potential alternative to multivariate regression models for predicting clinical outcomes. We applied logistic regression and NNs to a real medical data set to estimate the probabilities of nosocomial infection in patients admitted to intensive care units. Their predictive performances were assessed by data-splitting. We described how to deal with medical data to improve the predictive performance of NNs and discussed the advantages and disadvantages of NNs versus logistic regression for predicting clinical outcomes. If we take appropriate measures against the disadvantages of NNs, NNs will probably outperform multivariate regression models.

MUALIFLAR

Teglar

# healthcare# medicine# neural networks# artificial neural networks# medical diagnostics

Maqolani baholang

0

0 ta

Maqola idintifikatorlari

ROI:

https://eroi.uz/11.0096/A0122-0094

DOI:

Mavjud emas

Foydalanilgan adabiyotlar

1. Colak M.C., Colak C., H., Sagiroglu S., Barutgu I. Predicting Coronary Artery Disease Using Different Artificial Neural Network Models // Anadolu Kardiyol. Derg. 2008. Vol. 8, № 4. P. 249-254.

2. Atkov O.Yu., Gorokhova S.G., Sboev A.G., Generozov E.V., Muraseyeva E.V, Moroshkina S.Y., Cherniy N.N. Coronary Heart Disease Diagnosis by Artificial Neural Networks Including Genetic Polymorphisms and Clinical Parameters // J.

3. Niranjana Murthy H.S., Meenakshi M. ANN Model to Predict Coronary Heart Disease Based on Risk Factors // Bonfring. Int. J. Man Mach. Interface. 2013. Vol. 3, № 2. Р. 13-18

4. Moghaddasi H., Mahmoudi I., Sajadi S. Comparing the Efficiency of Artificial Neural Network and Gene Expression Programming in Predicting Coronary Artery Disease // J. Health Med. Inform. 2017. Vol. 8, № 2

5. Arabasadi Z., Alizadehsani R., Roshanzamir M., Moosaei H., Yarifard A.A. Computer Aided Decision Making for Heart Disease Detection Using Hybrid Neural Network-Genetic Algorithm // Comput. Methods Programs Biomed. 2017. Vol. 141. P. 19-26

6. Caliskan A., Yuksel M.E. Classification of Coronary Artery Disease Data Sets by Using a Deep Neural Network // EuroBiotech J. 2017. Vol. 1, № 4. P. 271-277

7. Ясницкий Л.Н., Думлер А.А., Полещук А.Н., Богданов К.В., Черепанов Ф.М. Нейросетевая система экспресс-диагностики сердечно-сосудистых заболеваний // Перм. мед. журн. 2011. Т. XXVIII, № 4. C. 77-86.