Enhanced Conditional GAN for High-Quality Synthetic Tabular Data Generation in Mobile-Based Cardiovascular Healthcare
Malak Alqulaity, Po Yang · 2024
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Description
Malak Alqulaity and Po Yang built a fake-data maker in 2024 for heart health records. Real patient data are scarce for research since privacy rules bind their use. Their tool is a paired network pair that learns from real tables and then makes new rows that look real. Heart data mix plain numbers with class labels, so the tool gives each type its own path.
Tests set the new tool against two known rivals. Scores showed its fake rows matched real spread and links between fields well. For key fields such as total cholesterol and weight, it matched best of the three. Most class fields matched the real shares exactly. The authors aim the tool at phone-based heart care work.
Catalog record
| CREATOR | Malak Alqulaity, Po Yang |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 62 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |