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Partial correlation network estimated for each patient cluster.
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posted on 2021-09-01, 17:28 authored by Jun Kashihara, Yoshitake Takebayashi, Yoshihiko Kunisato, Masaya ItoNodes represent symptoms, and edges represent partial correlations between them. The thickness of an edge reflects the absolute value of the regularized partial correlation. Blue and red edges represent positive and negative regularized partial correlations, respectively.
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developing efficient treatmentsnetwork statistical approachesanxiety disorder (<116 ), obsessivetargeting specific symptomsanxiety disorders accordingsymptom network structuresprovide little implicationslatent profile analysisdiv >< p>< sub xmlns521 patients (<major depressive disorder42 years ),weak ocd symptomssymptom networkweak symptomscompulsive disorder636 ),strong symptomsmental disordersfour disorderstransdiagnostic understandingstransdiagnostic clusterstechnical detailsstrong ocdmethod developedmathematical statisticsjapanese sampleintegrate clusteringdiscussion highlighteddiagnostic labelsdetailed descriptionsclinical utilityclassifying patientsbased clustering99 ).
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