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Construction and Validation of a Machine Learning-Based Post-Traumatic Stress Symptom Prediction Model for ICU Pediatric Patients

Construction and Validation of a Machine Learning-Based Post-Traumatic Stress Symptom Prediction Model for ICU Pediatric Patients

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500099432
Enrollment
Unknown
Registered
2025-03-24
Start date
2025-03-24
Completion date
Unknown
Last updated
2025-03-31

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Post-Traumatic Stress Symptoms in Children

Interventions

Observation group:None

Sponsors

The First Hospital of Jilin University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
3 Years to 16 Years

Inclusion criteria

Inclusion criteria: Children aged 3–16 years, hospitalized in the PICU for >= 48 hours, and without severe developmental, auditory, visual, cognitive impairments or psychiatric disorders; children and their parents voluntarily participate in this study.

Exclusion criteria

Exclusion criteria: Children and their families who are unable to cooperate; children who have experienced a major life event within one month prior to admission to the PICU, such as the death of a family member, violence, sexual assault, or severe accidental injury.

Design outcomes

Primary

MeasureTime frame
Post-Traumatic Stress Symptoms in Children;—

Secondary

MeasureTime frame
General information, disease-related information, psychological information;—

Countries

China

Contacts

Public ContactBaorong Zhang

The First Hospital of Jilin University

brzhang@jlu.edu.cn+86 158 4312 7095

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026