Artificial Neural Network Model in Stroke Diagnosis

Mirtskhulava, Lela, Wong, Julian, Al-Majeed, Salah and Pearce, Gillian (2016) Artificial Neural Network Model in Stroke Diagnosis. In: 2015 17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim), 25-27 March 2015, Cambridge, UK.

Full content URL: https://doi.org/10.1109/UKSim.2015.33

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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive

Abstract

We present a model of Artificial Neural Network (ANN) applied to stroke diagnosis. We use input data related to stroke that serves as inputs for the ANN. These data include clinical symptoms together with stroke risk factors. Each type of data provides input that is evaluated and used during the ANN processing. The adaptive learning algorithm can be used with a plethora of types of medical data and integrated into categorized outputs.

Keywords:stroke, neural network, diagnosis
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
ID Code:46623
Deposited On:23 Sep 2021 15:33

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