Sparse statistical health monitoring: A novel variable selection approach to diagnosis and follow-up of individual patients

J. Engel; L. Blanchet; U. F. H. Engelke; R. A. Wevers; L. M. C. Buydens

doi:10.1016/j.chemolab.2017.03.003

Sparse statistical health monitoring: A novel variable selection approach to diagnosis and follow-up of individual patients

J. Engel^*, L. Blanchet, U. F. H. Engelke, R. A. Wevers, L. M. C. Buydens

^*Corresponding author for this work

NUTRIM - Respiratory & Age-related Health

Research output: Contribution to journal › Article › Academic › peer-review

Original language	English
Pages (from-to)	83-93
Number of pages	11
Journal	Chemometrics and Intelligent Laboratory Systems
Volume	164
DOIs	https://doi.org/10.1016/j.chemolab.2017.03.003
Publication status	Published - 15 May 2017
Event	16th Chemometrics in Analytical Chemistry Conference - World Trade Center, Barcelona, Spain Duration: 6 Jun 2016 → 10 Jun 2016

Keywords

Sparse Mahalanobis distance
Multivariate statistical process monitoring
Variable smearing
Metabolomics
Precision medicine
Human disease diagnosis
CLASS-MODELING TECHNIQUES
FAULT ISOLATION
METABOLOMICS
DISCRIMINANT
DISEASE
ROAD

Access to Document

10.1016/j.chemolab.2017.03.003

Cite this

@article{020ceffa640c4016b598883fc253fadd,

title = "Sparse statistical health monitoring: A novel variable selection approach to diagnosis and follow-up of individual patients",

keywords = "Sparse Mahalanobis distance, Multivariate statistical process monitoring, Variable smearing, Metabolomics, Precision medicine, Human disease diagnosis, CLASS-MODELING TECHNIQUES, FAULT ISOLATION, METABOLOMICS, DISCRIMINANT, DISEASE, ROAD",

author = "J. Engel and L. Blanchet and Engelke, {U. F. H.} and Wevers, {R. A.} and Buydens, {L. M. C.}",

year = "2017",

month = may,

day = "15",

doi = "10.1016/j.chemolab.2017.03.003",

language = "English",

volume = "164",

pages = "83--93",

journal = "Chemometrics and Intelligent Laboratory Systems",

issn = "0169-7439",

publisher = "Elsevier Science",

note = "16th Chemometrics in Analytical Chemistry Conference ; Conference date: 06-06-2016 Through 10-06-2016",

}

Sparse statistical health monitoring : A novel variable selection approach to diagnosis and follow-up of individual patients. / Engel, J.; Blanchet, L.; Engelke, U. F. H.; Wevers, R. A.; Buydens, L. M. C.

In: Chemometrics and Intelligent Laboratory Systems, Vol. 164, 15.05.2017, p. 83-93.

Research output: Contribution to journal › Article › Academic › peer-review

TY - JOUR

T1 - Sparse statistical health monitoring

T2 - 16th Chemometrics in Analytical Chemistry Conference

AU - Engel, J.

AU - Blanchet, L.

AU - Engelke, U. F. H.

AU - Wevers, R. A.

AU - Buydens, L. M. C.

PY - 2017/5/15

Y1 - 2017/5/15

KW - Sparse Mahalanobis distance

KW - Multivariate statistical process monitoring

KW - Variable smearing

KW - Metabolomics

KW - Precision medicine

KW - Human disease diagnosis

KW - CLASS-MODELING TECHNIQUES

KW - FAULT ISOLATION

KW - METABOLOMICS

KW - DISCRIMINANT

KW - DISEASE

KW - ROAD

U2 - 10.1016/j.chemolab.2017.03.003

DO - 10.1016/j.chemolab.2017.03.003

M3 - Article

VL - 164

SP - 83

EP - 93

JO - Chemometrics and Intelligent Laboratory Systems

JF - Chemometrics and Intelligent Laboratory Systems

SN - 0169-7439

Y2 - 6 June 2016 through 10 June 2016

ER -