[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100543002":3},{"organization":4,"armGroups":7,"interventions":20,"overallOfficials":26,"centralContacts":26,"locations":31,"responsibleParty":50,"collaborators":52,"id":56,"slug":57,"hasResults":58,"nctId":59,"briefTitle":60,"officialTitle":61,"acronym":26,"eligibilityCriteria":62,"healthyVolunteers":58,"sex":63,"minAge":64,"maxAge":65,"enrollmentInfo":66,"targetDuration":26,"studyType":69,"phases":70,"briefSummary":72,"conditions":73,"keywords":75,"overallStatus":34,"whyStopped":26,"lastUpdateSubmitDate":81,"lastUpdatePostDateStruct":82,"startDateStruct":85,"completionDateStruct":87,"leadSponsor":89,"locationsCount":90},{"fullName":5,"class":6},"Wuhan Mental Health Centre","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"8 weeks Problem-solving therapy","EXPERIMENTAL","Problem-solving therapy imparts problem-solving abilities applicable to participants' daily lives.\n\nPersonalized therapies, including brief behavioral treatment of insomnia, mindfulness, and physical exercise suggestions, were tailored to correspond with patients' specific clusters of sadness and anxiety symptoms.",[13],"Behavioral: problem solving therapy",{"label":15,"type":16,"description":17,"interventionNames":18},"treatment as usual","PLACEBO_COMPARATOR","Care as usual with the PST-PC learning manual and health education information.",[19],"Other: control group",[21,27],{"type":22,"name":23,"description":24,"armGroupLabels":25,"otherNames":26},"BEHAVIORAL","problem solving therapy","Problem-solving therapy-based holistic emotion management interventions matched to individual symptoms",[9],null,{"type":6,"name":28,"description":29,"armGroupLabels":30,"otherNames":26},"control group","Routine psychological care and guidance on mood management",[15],[32],{"facility":33,"status":34,"city":35,"state":26,"zip":26,"country":36,"countryCode":37,"cosmosGeoPoint":38,"geoPoint":43,"contacts":44},"Renmin Hospital of Wuhan University","RECRUITING","Wuhan","China","CN",{"type":39,"coordinates":40},"Point",[41,42],114.26667,30.58333,{"lat":42,"lon":41},[45],{"name":46,"role":47,"phone":48,"phoneExt":26,"email":49},"LI WEN","CONTACT","15807191278","360668166@qq.com",{"type":51,"investigatorFullName":26,"investigatorTitle":26,"investigatorAffiliation":26,"oldNameTitle":26,"oldOrganization":26},"SPONSOR",[53],{"name":54,"class":55},"National Natural Science Foundation of China","OTHER_GOV","100543002","machine-learning-based-classification-of-symptom-clusters-and-online-cbt-100543002",false,"NCT06350201","Machine Learning-based Classification of Symptom Clusters and Online CBT","Machine Learning-based Classification of Symptom Clusters and Matched Online Cognitive Behavior Intervention for Depression Symptom and Anxiety Symptom","Inclusion Criteria:\n\n* Aged between 18 and 64 years. PHQ-9 ≥10 and\u002For GAD-7 ≥8 at baseline assessment defined as the threshold for caseness.\n\nExclusion Criteria:\n\n* People will be excluded if they meet any of the following criteria:\n\n  1. They are receiving psychological therapy during an interview for any mental health issue;\n  2. currently acutely suicidal or have attempted suicide in the past 2 months, as indicated by PHQ-9 item 9;\n  3. cognitively impaired or diagnosed with bipolar disorder or psychosis or experiencing psychotic symptoms; d) dependent on alcohol or drugs; e) living with an unstable or acute medical illness that would interfere with trial participation.","ALL","18 Years","64 Years",{"count":67,"type":68},380,"ESTIMATED","INTERVENTIONAL",[71],"NA","To breakthrough the bottleneck identified, we will conduct a cross-sectional study to develop a symptom clustering model for depression and anxiety. A wide range of statistical methods as well as machine learning approaches were explored, and a cohesive hierarchical clustering algorithm will be used. After developing the model, a symptom-matched intervention program based on problem solving therapy will be formulated. We are supposed to examine whether its use for personalizing symptom-matched psychological treatment can lead to improved patient outcomes, compared with usual care. This project is expected to provide a new and precise method for the emotion management, which will provide a standardized intervention pathway combining screening with treatment for the management of depression symptom and anxiety symptom. A preciser intervention matched to individual symptoms may provide important insight in improving patient outcome as well as a standardized mood management pathway targeting to the early detection and intervention for community residents.",[74],"Depression and Anxiety Symptom",[76,77,78,79,80],"machine learning approach","CBT","PST","depression","anxiety","2026-05-07",{"date":83,"type":84},"2026-05-12","ACTUAL",{"date":86,"type":84},"2025-09-01",{"date":88,"type":68},"2026-12-01",{"name":5,"class":6},1]