eksploracja danych

• Data mining in clinical big data: the frequently used databases, steps, and methodological models.ReviewMilitary Medical Research · 2021Wu WT, Li YJ, Feng AZ et al.DOI: 10.1186/s40779-021-00338-z
• Clinical data mining: challenges, opportunities, and recommendations for translational applications.ReviewJournal of translational medicine · 2024Qiao H, Chen Y, Qian C et al.DOI: 10.1186/s12967-024-05005-0
• Different Data Mining Approaches Based Medical Text Data.ReviewJournal of healthcare engineering · 2021Xiao W, Jing L, Xu Y et al.DOI: 10.1155/2021/1285167
• Editorial--Data mining in bioinformatics.Journal of bioinformatics and computational biology · 2015Zhao XMDOI: 10.1142/S0219720015020047
• Process mining and data mining applications in the domain of chronic diseases: A systematic review.Artificial intelligence in medicine · 2023Chen K, Abtahi F, Carrero JJ et al.DOI: 10.1016/j.artmed.2023.102645
• The role of data science in healthcare advancements: applications, benefits, and future prospects.ReviewIrish journal of medical science · 2022Subrahmanya SVG, Shetty DK, Patil V et al.DOI: 10.1007/s11845-021-02730-z
• Data mining and machine learning in HIV infection risk research: An overview and recommendations.ReviewArtificial intelligence in medicine · 2024Ge Q, Lu X, Jiang R et al.DOI: 10.1016/j.artmed.2024.102887
• Data mining and machine learning in cancer survival research: An overview and future recommendations.ReviewJournal of biomedical informatics · 2022Kaur I, Doja MN, Ahmad TDOI: 10.1016/j.jbi.2022.104026

via PubMed

Wikidata facts

Image

CRISP-DM Process Diagram.png

via Wikidata · CC0