Machine learning of fatigue-related clinical features in primary Sjogren's Syndrome

E. Bellou, K. James, W-F. Ng, J. Hallinan

Research output: Contribution to journal › Meeting abstract

Original language	English
Pages (from-to)	363-364
Number of pages	2
Journal	Scandinavian Journal of Immunology
Volume	81
Issue number	5
DOIs	https://doi.org/10.1111/sji.12291
Publication status	Published - May 2015
Externally published	Yes
Event	International Symposium on Sjogren's Syndrome (13th : 2015) - Bergen, Norway Duration: 19 May 2015 → 22 May 2015

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title = "Machine learning of fatigue-related clinical features in primary Sjogren's Syndrome",

author = "E. Bellou and K. James and W-F. Ng and J. Hallinan",

year = "2015",

month = may,

doi = "10.1111/sji.12291",

language = "English",

volume = "81",

pages = "363--364",

journal = "Scandinavian Journal of Immunology",

issn = "0300-9475",

publisher = "Wiley-Blackwell, Wiley",

number = "5",

note = "International Symposium on Sjogren's Syndrome (13th : 2015) ; Conference date: 19-05-2015 Through 22-05-2015",

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TY - JOUR

T1 - Machine learning of fatigue-related clinical features in primary Sjogren's Syndrome

AU - Bellou, E.

AU - James, K.

AU - Ng, W-F.

AU - Hallinan, J.

PY - 2015/5

Y1 - 2015/5

U2 - 10.1111/sji.12291

DO - 10.1111/sji.12291

M3 - Meeting abstract

SN - 0300-9475

VL - 81

SP - 363

EP - 364

JO - Scandinavian Journal of Immunology

JF - Scandinavian Journal of Immunology

IS - 5

T2 - International Symposium on Sjogren's Syndrome (13th : 2015)

Y2 - 19 May 2015 through 22 May 2015

ER -