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A machine learning model for predicting the risk of postoperative adverse events was constructed based on intraoperative monitoring data

Research on constructing a machine learning model for predicting the risk of postoperative adverse events based on intraoperative monitoring data

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500104544
Enrollment
Unknown
Registered
2025-06-18
Start date
2025-06-25
Completion date
Unknown
Last updated
2025-06-24

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

Conditions

Postoperative complications

Interventions

Observation group:None

Sponsors

The Fourth Affiliated Hospital of Harbin Medical University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1.Research participants who underwent surgery in the surgery room of the Fourth Affiliated Hospital of Harbin Medical University within the past five years; 2.The research participants themselves, their legal representatives or authorized agents agree to participate in the research and sign the informed consent form; 3.Continuous intraoperative monitoring (ECG, BIS, hemodynamics, etc.); 4.The postoperative hospital stay was >=24 hours;

Exclusion criteria

Exclusion criteria: 1.Situations such as acute and critical conditions that researchers consider unsuitable for inclusion; 2.Research participants who refused to sign the informed consent form; 3.The monitoring data is missing and the completeness is less than 80% of the cases; 4.The data recording is inaccurate, with obvious errors or contradictions;

Design outcomes

Primary

MeasureTime frame
Postoperative outcome;High-frequency monitoring parameter information during the operation;

Secondary

MeasureTime frame
Preoperative baseline characteristics;

Countries

China

Contacts

Public ContactQi Sihua

The Fourth Affiliated Hospital of Harbin Medical University

qisihua2007@sina.com+86 451 82576624

Outcome results

None listed

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