| Original language | English |
|---|---|
| Pages (from-to) | 217-228 |
| Journal | Computer Methods and Programs in Biomedicine |
| Volume | 55 |
| Publication status | Published - 1998 |
| Publication type | A1 Journal article-refereed |
A genetics-based machine learning system to discover the diagnostic rules for female urinary incontinence
Research output: Contribution to journal › Article › Scientific › peer-review
24
Citations
(Scopus)