Linear discriminant analysis.
- Jan-Philipp Bach (428276)
- Maike Gold (668992)
- David Mengel (769142)
- Akira Hattesohl (340110)
- Dirk Lubbe (769143)
- Severin Schmid (340111)
- Björn Tackenberg (385048)
- Jürgen Rieke (769144)
- Sasidhar Maddula (671901)
- Jörg Ingo Baumbach (671902)
- Christoph Nell (769145)
- Tobias Boeselt (769146)
- Joan Michelis (769147)
- Judith Alferink (425209)
- Michael Heneka (31082)
- Wolfgang Oertel (8929)
- Frank Jessen (237369)
- Sabina Janciauskiene (264288)
- Claus Vogelmeier (340117)
- Richard Dodel (93833)
- Andreas Rembert Koczulla (340119)
Publication date
July 2015
DOIAbstract
<p>In Fig 1, we tested whether differentiating among patients with two neurodegenerative disorders and healthy controls is possible using the eNose. Linear discriminant analysis (LDA) was used to distinguish among groups. Repeated measurements were evaluated using median values and normalised to a range of 0 to 1. LD = linear discriminant, ad = Alzheimer's disease, pd = Parkinson's disease, hc = healthy control.</p
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