Machine learning approaches for neurological disease prediction: A systematic review
Ana Fatima,
Sarfaraz Masood
Abstract:In this article, we present a systematic and exhaustive review regarding the trends, datasets employed, as well as findings achieved in the last 11 years in neurological disorder prediction using machine learning models. In this work we present a comparison between the biomarkers used in ML field with the biomarkers that are obtained through other non‐ml‐based research fields. This will help in identifying the potential research gaps for ML domain. As the study of neurological disorders is a far‐reaching task … Show more
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