main webpage W Topic Data Mining BMJ • Vol 380 Transparent reporting of multivariable prediction models developed or validated using clustered data: TRIPOD-Cluster checklist 2023 The increasing availability of large combined datasets (or big data), such as those from electronic health records and from individual participant data meta-analyses, provides new opportunities and challenges for researchers developing and validating (includi… Article Open Data Mining Open Article Page

Data Mining

Process of extracting and discovering patterns in large data sets Data mining is the process of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information (with intelligent methods) from a data set and transforming the information into a comprehensible structure for further use. Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD. Critical Symbolic Virtual Narrative Open Data Mining Open Article Page

Exploring foci of: BMJ • Vol 380 Transparent reporting of multivariable prediction models developed or validated using clustered data: TRIPOD-Cluster checklist 2023 The increasing availability of large combined datasets (or big data), such as those from electronic health records and from individual participant data meta-analyses, provides new opportunities and challenges for researchers developing and validating (including updating) prediction models. These datasets typically include individuals from multiple clusters (such as multiple centres, geographical locations, or different studies). Accounting for clustering is important to avoid misleading conclusions and enables res… Open Article Page

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Explore Data Mining W Topic Data Mining BMJ • Vol 380 Transparent reporting of multivariable prediction models developed or validated using clustered data: TRIPOD-Cluster checklist 2023 The increasing availability of large combined datasets (or big data), such as those from electronic health records and from individual participant data meta-analyses, provides new opportunities and challenges for researchers developing and validating (includi… Article Critical Symbolic Virtual Narrative Open Data Mining Open Article Page