Fundamentals of Machine Learning in Healthcare

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.