1 Medical Patient Records

Note: Dataset was not found. Graph features in papers: clusters (pre-existing),multivariate,spatial Appeared in years: 2011 Type of Collection: Lost/Unavailable is it stored properly?: No must be analyzed: No In repo?: No Related to Literature - Algorithm (1) (Dataset tag relations): DICON: Interactive Visual Analysis of Multidimensional Clusters (https://www.notion.so/DICON-Interactive-Visual-Analysis-of-Multidimensional-Clusters-641ae65985524ca5abb9c9a90eb361a2?pvs=21) cleaned format?: No duplicate?: No link works?: No Added in paper: No Page id: 9bb4f4fc1e8242b2905eb286a0e00143 unavailable/skip: Yes Cleaned ALL data: No first look: No Related to Literature - Algorithm (Dataset tag relations) 1: DICON: Interactive Visual Analysis of Multidimensional Clusters (../Benchmark%20sets%200cc6b5e454304aec98f3b59b1a720476/Literature%20ad87f14e7097454fb2f784e2c8a2797a/Literature%20-%20Algorithm%2012e01bfc60a84007aa7d2d34293e123d/DICON%20Interactive%20Visual%20Analysis%20of%20Multidimensio%20c9dc02a2f0ed4cdf938e610c3945e465.md)

2 Body

Description from Literature

From “DICON: Interactive Visual Analysis of Multidimensional Clusters”:

We also applied DICON within the healthcare domain to visualize a dataset containing more than 10,000 patient records. The data includes claims, labs, pharmacy, and patient profile information. To augment this data, we applied a patient similarity algorithm to compute patient similarity scores across multiple dimensions (e.g., diagnoses, lab results, etc.). We also indexed the patient records to make the data searchable.

Example Figures

From “DICON: Interactive Visual Analysis of Multidimensional Clusters”:

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Reached out to authors? ← saw this note but not Connor nor I