A non-linear statistical classification methodology known as hierarchically optimal classification tree analysis (CTA) offers promise of outperforming linear alternatives. We present the first example of CTA in medicine, for an application that uses four attributes (age, body mass index, alveolar-ar
β¦ LIBER β¦
Pneumocystis carinii pneumonia in patients with connective tissue diseases: The role of hospital experience in diagnosis and mortality
β Scribed by Michael M. Ward; Fiona Donald
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 147 KB
- Volume
- 42
- Category
- Article
- ISSN
- 0004-3591
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