Home 
Bratislava Medical Journal 2019 Bratislava Medical Journal Vol.120, No.7, p.536–540, 2019
Bratislava Medical Journal 2019 Bratislava Medical Journal Vol.120, No.7, p.536–540, 2019
Journal info
|
||||
Select Journal
Journals
Acta Virologica Bratislava Medical Journal Ahead of print 2020 2019 2018 2017 2016 2015 2014 2013 2012 Endocrine Regulations General Physiology and Biophysics Neoplasma Studia Psychologica Cardiology Letters Psychológia a patopsych. dieťaťa Metallic Materials - Kovové materiály Slovenská hudbaWebshop Cart
Your Cart is currently empty.
Info: Your browser does not accept cookies. To put products into your cart and purchase them you need to enable cookies.
Bratislava Medical Journal Vol.120, No.7, p.536–540, 2019 |
||
| Title: Overview of artificial neural network models in the biomedical domain | ||
| Author: V. Renganathan | ||
| Abstract: AIM: The aim of this paper is to provide an overview of artificial neural network (ANN) in biomedical domain and compare it with the logistic regression model. METHODS: Artificial neural network models and logistic regression models were created and compared using a sample of a modified dataset adapted to the dataset from Framingham Heart Study. R statistical software package is used to create and compare the models. RESULTS: The results indicated that the ANN model is more accurate in classifying the dependent variable than the logistic regression model (84.4 % vs 82.9 %). CONCLUSION: This paper has shown the effect of artificial neural network models in classifying the survival status (event or non-event) (Tab. 2, Fig. 4, Ref. 29). |
||
| Keywords: artificial neural network, prediction, classification, logistics, biomedical | ||
| Published online: 12-Jul-2019 | ||
| Year: 2019, Volume: 120, Issue: 7 | Page From: 536, Page To: 540 | |
| doi:10.4149/BLL_2019_087 |
||
|
|
 download file |
|