The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Prevalence and Diagnosis of Neurological Disorders Using Different Deep Learning Techniques: A Meta-Analysis
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“Figures 6 and 7 shows the rate of the world population affected by neurological disorders [56].”
BackgroundFeigin, V. L., Abajobir, A. A., Abate, K. H., Abd-Allah, F., Abdulle, A. M., Abera, S. F., Abyu, G. Y., Ahmed, M. B., Aichour, A. N., Aichour, I., et al. (2017) · The Lancet Neurology · doi:10.1016/s1474-4422(17)30299-5 · Cited by 2,275
An update on the prevalence of cerebral palsy: a systematic review and meta‐analysis
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Hierarchical Feature Representation and Multimodal Fusion with Deep Learning for AD/MCI Diagnosis
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Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images
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Cited by
The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century
Maleki Varnosfaderani, S., & Forouzanfar, M. (2024) · Bioengineering · doi:10.3390/bioengineering11040337 · Cited by 931
Evaluation of artificial intelligence techniques in disease diagnosis and prediction
Ghaffar Nia, N., Kaplanoglu, E., & Nasab, A. (2023) · Discover Artificial Intelligence · doi:10.1007/s44163-023-00049-5 · Cited by 426
Deep learning for Alzheimer's disease diagnosis: A survey
Khojaste-Sarakhsi, M., Haghighi, S. S., Ghomi, S. M. T. F., & Marchiori, E. (2022) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2022.102332 · Cited by 194
Advancements in AI based healthcare techniques with FOCUS ON diagnostic techniques
Kalra, N., Verma, P., & Verma, S. (2024) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2024.108917 · Cited by 95
Sch-net: a deep learning architecture for automatic detection of schizophrenia
Fu, J., Yang, S., He, F., He, L., Li, Y., Zhang, J., & Xiong, X. (2021) · BioMedical Engineering OnLine · doi:10.1186/s12938-021-00915-2 · Cited by 31
Metadata
- Authors
- Gautam, R., & Sharma, M.
- Venue
- Journal of Medical Systems
- Published
- 2020-01-04
- Volume
- 44
- Issue
- 2
- Pages
- 49-49
- ISSN
- 0148-5598 (ISSN-L)
- 1573-689X
- OpenAlex
- W2998205609
- Cited by
- 175
- References
- 15
- FWCI
- 5.69
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Prevalence and Diagnosis of Neurological Disorders Using Different Deep Learning Techniques: A Meta-Analysis. https://app.cochat.ai/papers/10.1007/s10916-019-1519-7
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- Gautam, R., & Sharma, M. (2020). Prevalence and Diagnosis of Neurological Disorders Using Different Deep Learning Techniques: A Meta-Analysis. Journal of Medical Systems. https://doi.org/10.1007/s10916-019-1519-7
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
