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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
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Bratislava Medical Journal Vol.120, No.7, p.536–540, 2019 |
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| 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). |
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| 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 |
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