Prevalence and Diagnosis of Neurological Disorders Using Different Deep Learning Techniques: A Meta-Analysis

This paper dispenses an exhaustive review on deep learning techniques used in the prognosis of eight different neuropsychiatric and neurological disorders such as stroke, alzheimer, parkinson’s, epilepsy, autism, migraine, cerebral palsy, and multiple sclerosis. These diseases are critical, life-thr...

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Veröffentlicht in:	Journal of medical systems 2020-02, Vol.44 (2), p.49, Article 49
Hauptverfasser:	Gautam, Ritu, Sharma, Manik
Format:	Artikel
Sprache:	eng
Schlagworte:	Autism Belief networks Cerebral palsy Deep learning Diagnosis Disease control Disorders Epilepsy Face recognition Headache Health Informatics Health Sciences Intrusion Machine learning Medical diagnosis Medicine Medicine & Public Health Mental disorders Meta-analysis Migraine Morbidity Multiple sclerosis Neurological diseases Neurological disorders Paralysis Pattern recognition Performance measurement Sensitivity analysis Soft computing Speech recognition Statistics for Life Sciences Stroke Systems-Level Quality Improvement Traffic management
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