Linear data mining the Wichita clinical matrix suggests sleep and allostatic load involvement in chronic fatigue syndrome

Pharmacogenomics

Volumn 7, Issue 3, 2006, Pages 455-465

  Gurbaxani, Brian M ^a   Jones, James F ^a   Goertzel, Benjamin N ^b   Maloney, Elizabeth M ^a  

^a CENTERS FOR DISEASE CONTROL AND PREVENTION   (United States)

^b Biomind LLC   (United States)

Author keywords

Allostatic load; Chronic fatigue syndrome; Data mining; Feature selection

Indexed keywords

ARTICLE; CHRONIC FATIGUE SYNDROME; COMORBIDITY; CONTROLLED STUDY; DEPRESSION; DISCRIMINANT ANALYSIS; DISEASE CLASSIFICATION; HEART RATE VARIABILITY; HUMAN; MAJOR CLINICAL STUDY; MATHEMATICAL ANALYSIS; MEDICAL ASSESSMENT; MELANCHOLIA; PRINCIPAL COMPONENT ANALYSIS; SELF REPORT;

ADULT; DATA INTERPRETATION, STATISTICAL; DATABASES, FACTUAL; DISCRIMINANT ANALYSIS; FATIGUE SYNDROME, CHRONIC; FEMALE; HEART RATE; HUMANS; KANSAS; LINEAR MODELS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; POLYMORPHISM, SINGLE NUCLEOTIDE; PRINCIPAL COMPONENT ANALYSIS; SLEEP;

EID: 33646027306     PISSN: 14622416     EISSN: 17448042     Source Type: Journal    
DOI: 10.2217/14622416.7.3.455     Document Type: Article

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