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What we have discussed in this chapter is the potential use cases of data science techniques such as analytics, analytics-related tools, data analysis, data-driven model, data acquisition, data collection, data management, data mining, data modeling, data visualization, knowledge discovery, machine learning, modeling, prediction, process mining, problem solving, querying, system analysis, and visual analytics.
Healthcare industry: Healthcare data science can be considered as the study of healthcare and health-related data to obtain insights about the healthcare industry that can typically lead to smart decision-making as well as taking high-quality actions [90]. Data scientists can develop algorithms or data-driven models predicting patient behavior, identifying patterns and trends based on historical healthcare data, which can help companies to avoid adverse medical situations (e.g., infections, adverse drug reactions, etc.), minimize unnecessary healthcare service usage (e.g., unnecessary hospital visits, etc.), establish personalized healthcare services (e.g., consumer-tailored prevention, etc.), and generate recommendations for better decision-making. Eventually, smart medicine, intelligence, and efficiency can be achieved through the data science process discussed earlier, where various advanced analytics methods and machine learning modeling based on the collected data are the keys. Many healthcare organizations, such as Google [86], can improve decision-making regarding healthcare services, patient safety, patients’ well-being, preventive medicine, personalized healthcare, and medical services through predictive modeling based on machine learning techniques [38,94]. In terms of healthcare, data science methodologies can play a key role in the future generation healthcare industry, particularly in terms of smart medicine, intelligence, and efficient and personalized healthcare. As an example, we have shown machine learning based predictive modeling, which can be used in the future to create preventive medicine applications in healthcare [61].
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