# 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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=== STOP RENDERING ===

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