Research Articie
06 September 2022
Discriminative Machine Learning Analysis for Skin Microbiome: Observing Biomarkers in Patients with Seborrheic Dermatitis
H.E.C. van der Wall
1
,
R.J. Doll
2
,
G.J.P. van Westen
3
,
T. Niemeyer-van der Kolk
4
,
G. Feiss
5
,
H. Pinckaers
6
,
M.B.A. van Doorn
7
,
T. Nijsten
8
,
M.G.H. Sanders
9
,
A.F. Cohen
10
,
J. Burggraaf
11
,
R. Rissmann
12
,
L.M. Pardo
13
show author's information
- 1 : Method Development, Centre for Human Drug Research, The Netherlands
- 2 : Method Development, Centre for Human Drug Research, The Netherlands
- 3 : Drug Discovery and Safety, Leiden Academic Centre for Drug Research, The Netherlands
- 4 : Method Development, Centre for Human Drug Research, The Netherlands
- 5 : GL Feiss Consulting, LLC, Telford, Pennsylvania, United States
- 6 : Department of Pathology, Radboud University Medical Center, The Netherlands
- 7 : Department of Dermatology, Erasmus Medical Center, The Netherlands
- 8 : Department of Dermatology, Erasmus Medical Center, The Netherlands
- 9 : Department of Dermatology, Erasmus Medical Center, The Netherlands
- 10 : Method Development, Centre for Human Drug Research, The Netherlands
- 11 : Method Development, Centre for Human Drug Research, The Netherlands
- 12 : Method Development, Centre for Human Drug Research, The Netherlands
- 13 : Department of Dermatology, Erasmus Medical Center, The Netherlands
DOI:
10.55578/joaims.220819.001
Keywords:
Microbiome, Artificial intelligence, Machine learning, Seborrheic dermatitis, Data science
