Machine Learning - Powered Forecasting of Anesthesia - Related Complications: Insights from MIMIC - IV Data Development, Validation and Feature Importance

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2500108150

Enrollment

Unknown

Registered

2025-08-26

Start date

2025-09-01

Completion date

Unknown

Last updated

2025-09-01

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

Conditions

Anesthesia Related Complications

Interventions

presence of complications:None

absence of complications:None

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Adult patients over the age of 18; 2. having received surgical treatment in our hospital and have a complete record of anesthesia;

Exclusion criteria

Exclusion criteria: 1. Patients who lacked data on key variables (such as age, sex, ASA grade, etc.); 2. Patients with special type of surgery or anesthesia method that cannot be classified among the existing variables; 3. Patients with severe heart, lung, liver, kidney and other multiple organ dysfunctions, which may affect the judgment of anesthesia complications;

Design outcomes

Primary

Measure	Time frame
accuracy;recall;AUC value;	—

Countries

China

Contacts

Public ContactQinxue Dai

The First Affiliated Hospital of Wenzhou Medical University

653091408@qq.com+86 136 9584 2272

Outcome results

None listed

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