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Data mining in clinical big data: the frequently used …

    https://mmrjournal.biomedcentral.com/articles/10.1186/s40779-021-00338-z
    Data-mining algorithms enable realization of these goals. Supervised learning A concept often mentioned in supervised learning is the partitioning of datasets. To prevent overfitting of a model, a dataset can generally be divided into two or three parts: …

The Hazards of Data Mining in Healthcare - PubMed

    https://pubmed.ncbi.nlm.nih.gov/28679892/
    However, it was soon discovered that mining healthcare data had many challenges relating to the veracity of healthcare data and limitations around predictive modelling …

Problems with mining medical data - IEEE Conference …

    https://ieeexplore.ieee.org/document/884767/
    Problems with mining medical data - IEEE Conference Publication Problems with mining medical data Abstract: Since the early 1980's, there has been a …

Current Big Data Challenges in Hospitals …

    https://online.norwich.edu/academic-programs/resources/data-challenges-in-healthcare
    Because vast quantities of data often are generated in healthcare settings, data mining is essential to find needed information and present it in an accessible …



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