Machine learning for the detection and diagnosis of cognitive impairment in Parkinson’s Disease: A systematic review
Callum Altham,
Huaizhong Zhang,
Ella Pereira
Abstract:Background
Parkinson’s Disease is the second most common neurological disease in over 60s. Cognitive impairment is a major clinical symptom, with risk of severe dysfunction up to 20 years post-diagnosis. Processes for detection and diagnosis of cognitive impairments are not sufficient to predict decline at an early stage for significant impact. Ageing populations, neurologist shortages and subjective interpretations reduce the effectiveness of decisions and diagnoses. Researchers are now utilising machine lear… Show more
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