Advances in Automated Machine Learning for Precision Healthcare and Biomedical Discoveries

Abstract

In the ever-evolving landscape of healthcare, the integration of artificial intelligence (AI) stands as a transformative force offering unprecedented prospects for real-time, personalized, and cost-effective medical interventions. This research critically examines a diverse array of AI and machine learning solutions contributing substantively to the evolution of a data-centric era in healthcare discovery. Advancements in the healthcare sector are imperative for enhancing patient outcomes and addressing critical challenges such as misdiagnosis, over-treatment, and the complex management of clinical data. At the forefront of contemporary solutions lies the strategic deployment of machine learning (ML) techniques serving as a powerful catalyst to augment various facets of healthcare operations. This chapter provides an insight on how Automated Machine Learning (AutoML) provides solutions for precision healthcare and biomedical discoveries.

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