Abstract
Machine learning (ML), a subset of artificial intelligence (AI), is
revolutionizing industries by leveraging statistical algorithms that learn from data and
experiences. Unlike traditional programs following predetermined sequences, ML
algorithms discern patterns and predict outcomes through extensive datasets. This
transformative technology has profoundly impacted diverse sectors, including
manufacturing, finance, retail, transportation, entertainment, and healthcare. The
influence of ML is amplified by the accessibility of extensive datasets and the
escalating computational prowess of modern systems. As ML algorithms progress, they
are fundamentally reshaping business operations, streamlining processes, enhancing
decision-making, and fuelling innovation across sectors. The impact of machine
learning algorithms on healthcare applications and the usage of diverse data sources,
such as electronic health records, medical imaging, wearable devices, and genomic
data, is discussed in this chapter.
Keywords: Fundaments of ML, Health science, Machine learning, ML in health science.
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