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Volumn 8, Issue APR, 2017, Pages
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Cluster analysis to identify possible subgroups in tinnitus patients
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Author keywords
Cluster analysis; Heterogeneity of tinnitus; Principle component analysis; Subgroup identification; Tinnitus
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Indexed keywords
ADULT;
AGE DISTRIBUTION;
ALGORITHM;
ARTICLE;
AUDITORY SYSTEM FUNCTION;
CLUSTER ANALYSIS;
DATA BASE;
DISEASE DURATION;
DISEASE SEVERITY;
EXPLORATORY RESEARCH;
FEMALE;
HUMAN;
MAJOR CLINICAL STUDY;
MALE;
OUTCOME ASSESSMENT;
POPULATION RESEARCH;
SEX DIFFERENCE;
TINNITUS;
UNIVERSITY HOSPITAL;
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EID: 85018762338
PISSN: None
EISSN: 16642295
Source Type: Journal
DOI: 10.3389/fneur.2017.00115 Document Type: Article |
Times cited : (47)
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References (10)
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