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Volumn 12, Issue 4, 2017, Pages

Evaluation of machine learning algorithms and structural features for optimal MRI-based diagnostic prediction in psychosis

(17)  Salvador, Raymond a,b   Radua, Joaquim a,b,c,d   Canales Rodrõâguez, Erick J a,b   Solanes, Aleix a,e   Sarroa, Salvador a,b   Goikolea, Jose M b,e   Valiente, Alicia f   Montea, Gemma C a,b,e   Natividad, MarõÂa Del Carmen g   Guerrero Pedraza, Amalia f   Moro, Noemõa f   Fernaândez Corcuera, Paloma f   Amann, Benedikt L b,h,i,j   Maristany, Teresa k   Vieta, Eduard b,e   Mckenna, Peter J a,b   Pomarol Clote, Edith a,b  


Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; BIPOLAR DISORDER; BRAIN SIZE; CONTROLLED STUDY; CORTICAL THICKNESS (BRAIN); DIAGNOSTIC ACCURACY; FEMALE; GRAY MATTER; HUMAN; IMAGING AND DISPLAY; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; MORPHOMETRY; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PREDICTION; PSYCHOSIS; SCHIZOPHRENIA; SUPPORT VECTOR MACHINE; VOXEL BASED MORPHOMETRY; WAVE BASED MORPHOMETRY; ADOLESCENT; ALGORITHM; DIAGNOSTIC IMAGING; MIDDLE AGED; PROCEDURES; VALIDATION STUDY; YOUNG ADULT;

EID: 85018497429     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0175683     Document Type: Article
Times cited : (81)

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