The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Artificial Neural Network Model in Stroke Diagnosis
Open accessAbstract
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.
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“Mirtskhulava et al used neural network in stroke diagnosis.33”
From Artificial intelligence in healthcare: past, present and future (2017) · cites this paper as [33]
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An introduction to neural computing
Kohonen, T. (1988) · Neural Networks · doi:10.1016/0893-6080(88)90020-2 · Cited by 1,212
Artificial neural networks in medical diagnosis
Amato, F., López, A., Peña-Méndez, E. M., Vaňhara, P., Hampl, A., & Havel, J. (2013) · Journal of Applied Biomedicine · doi:10.2478/v10136-012-0031-x · Cited by 898
Artificial neural networks for diagnosis and survival prediction in colon cancer
Ahmed, F. (2005) · Molecular Cancer · doi:10.1186/1476-4598-4-29 · Cited by 223
Segmentation of multiple sclerosis lesions in MR images: a review
Mortazavi, D., Kouzani, A. Z., & Hamid Soltanian-zadeh, A. (2011) · Neuroradiology · doi:10.1007/s00234-011-0886-7 · Cited by 146
Spelt, L., Andersson, B., Nilsson, J., & Andersson, R. (2011) · European Journal of Surgical Oncology · doi:10.1016/j.ejso.2011.10.013 · Cited by 134
Tuberculosis Disease Diagnosis Using Artificial Neural Networks
Er, O., Temurtaş, F., & Tanrıkulu, A. Ç. (2008) · Journal of Medical Systems · doi:10.1007/s10916-008-9241-x · Cited by 127
Tuberculosis Disease Diagnosis Using Artificial Neural Network Trained with Genetic Algorithm
Elveren, E., & Yumuşak, N. (2009) · Journal of Medical Systems · doi:10.1007/s10916-009-9369-3 · Cited by 98
Computational Intelligence in Early Diabetes Diagnosis: A Review
Shankaracharya, N. A., Odedra, D., Samanta, S., & Vidyarthi, A. S. (2010) · The Review of Diabetic Studies · doi:10.1900/rds.2010.7.252 · Cited by 93
Artificial neural networks in pancreatic disease
Bartosch-Härlid, A., Andersson, B., Aho, U., Nilsson, J., & Andersson, R. E. (2008) · British journal of surgery · doi:10.1002/bjs.6239 · Cited by 78
Artificial neural network in diagnosis of metastatic carcinoma in effusion cytology
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Research works printed but not linked: 3
- 0, What is a feedforward ne html
- 10.2478/v10136-012-0031-x · DOI · Paper page
- hacke, 2008, M D for the ECASS Investigators Thrombolysis with Alteplase 3 to 4 5 Hours after Acute Ischemic Stroke N Engl J Med 2008, 359, 1317
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Artificial intelligence in healthcare: past, present and future
Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., Wang, Y., Dong, Q., Shen, H., & Wang, Y. (2017) · Stroke and Vascular Neurology · doi:10.1136/svn-2017-000101 · Cited by 4,837
Metadata
- Authors
- Mirtskhulava, L., Wong, J., Al-Majeed, S., & Pearce, G.
- Affiliations
- Tbilisi State University (GE)
- Military Technological College (OM)
- National University Heart Centre Singapore (SG)
- Aston University (GB)
- Venue
- 2015 17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim)
- Publisher
- IEEE
- Published
- 2015-03
- Pages
- 50-53
- OpenAlex
- W2490950022
- Cited by
- 19
- References
- 17
- Citations by year
- 2023: 1 · 2022: 2 · 2021: 2 · 2020: 5 · 2019: 5 · 2018: 1 · 2017: 3
- FWCI
- 2.29
- Type
- conference paper
- Language
- en
- Open access
- green
- eprints.glos.ac.uk
- Locations
- UKSim International Conference on Computer Modelling and Simulation (UKSim) (publishedVersion)
- Research Repository (University of Gloucestershire) (submittedVersion)
- Lincoln Repository (University of Lincoln) (submittedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Health Sciences › Medicine › Clinical Neurology › Acute Ischemic Stroke Management
- Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
- Keywords
- stroke diagnosis, artificial neural networks, clinical symptoms, stroke risk factors, adaptive learning, medical data classification
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- Mirtskhulava, L., Wong, J., Al-Majeed, S., & Pearce, G. (2015). Artificial Neural Network Model in Stroke Diagnosis. 2015 17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim). https://doi.org/10.1109/uksim.2015.33
