Machine Learning in Healthcare

Machine learning (ML) in healthcare is a field that uses artificial intelligence (AI) to analyze large datasets of medical data and identify patterns to develop and improve healthcare systems. ML algorithms have the potential to revolutionize healthcare by learning from data to improve the accuracy of diagnoses, ensure personalized care and treatments, and support healthcare decisions. ML can also be used to improve efficiency in healthcare administrative tasks, such as coding and billing. ML has many applications in healthcare ranging from diagnostics, predictive modelling and analytics to drug discovery, virtual medical assistants and imaging analysis. By applying ML techniques, healthcare providers and organizations can gain valuable insights into patient health and improve the quality of care.

← Journal of Medical Informatics and Decision Making

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