• Role of Machine Learning in Disease Identification and Diagnosis

    Author(s):
    Mohammed Yousef Shaheen (see profile)
    Date:
    2021
    Subject(s):
    Artificial intelligence, Machine learning
    Item Type:
    Article
    Tag(s):
    health
    Permanent URL:
    http://dx.doi.org/10.17613/3ywq-m680
    Abstract:
    Machine learning is a subdiscipline in artificial intelligence (AI) that concentrates on algorithms that can learn data or adapt their structure according to a group of observed data, whose adaptation is conducted through optimization over cost-function or an objective. It provides a moral strategy for developing automatic, purpose, and sophisticated algorithms to analyze multi-modal and high-dimensional biomedical data. Statistical pattern identification and machine learning has been continuously a crucial subject of focus within the biomedical community since they promise to promote the sensitivity or specificity of disease detection and diagnosis and improve the objectivity of decision-making methods. Machine learning is capable of offering new systems for interpreting complex and high-dimensional datasets confronted by the clinician.
    Metadata:
    xml
    Status:
    Published
    Last Updated:
    2 years ago
    License:
    All Rights Reserved
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