Application of data science and bioinformatics in healthcare technologies
Keywords:
bioinformatics, machine learning, random forest, K-nearest neighbour, support vector machineAbstract
Data science is an interdisciplinary discipline that uses scientific approaches, data mining techniques, machine-learning algorithms, and big data to extract information and insights from a wide range of structured and unstructured data. The healthcare business creates massive quantities of important information on patient demographics, treatment plans, medical examination findings, insurance, and so on. Data scientists are interested in the data collected by Internet of Things (IoT) devices. Data science assists in the processing, management, analysis, and assimilation of massive amounts of fragmented, structured, and unstructured data generated by healthcare systems. To obtain true findings, this data must be managed and analyzed effectively. The article reviews and discusses the data cleansing, data mining, data preparation, and data analysis processes used in healthcare applications.
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