RESEARCH ON THE APPLICATION OF BIG DATA IN HEALTHCARE

ABSTRACT

According to a report (from 2017 to 2020) conducted by Taiwan's Health Promotion Administration, the proportion of adults suffering from hypertension, hyperlipidemia and hyperglycemia were 23.52%, 22.7% and 9.74% respectively (see Fig. 1). Through the intelligent application of clinical big data, real-time analysis and information technology, doctors can make informed decisions, reduce possible medical errors, enhance the efficiency and quality of medical services, and further improve the overall efficiency of healthcare system (Zeadally, et al., 2019). Due to its ever-growing nature, the required data analysis must take atypical approaches and involve specific requirements for data collection, data preprocessing, and data analysis. [...]many algorithms designed for big data analysis have been developed (Mohamed, et al., 2020). (3) Data Preprocessing The data should be consistent and can be processed in a posterior analysis before proceeding to data analysis. [...]these metadata must be preprocessed in order to fulfill the purposes including but not limited to denoising, filtering data, compiling data, and simplifying data (Alonso-Betanzos & Bolon Canedo 2018).