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Clinical application of machine learning algorithm for prognosis in cardiac surgery

Clinical application of machine learning algorithm for prognosis in cardiac surgery

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100042208
Enrollment
Unknown
Registered
2021-01-15
Start date
2021-01-11
Completion date
Unknown
Last updated
2021-04-19

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

Conditions

Cardiac disease

Interventions

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Gold Standard:Clinical outcomes

Sponsors

Shanghai East Hospital, Tongji University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
40 Years to 80 Years

Inclusion criteria

Inclusion criteria: Retrospective patients data registration is conducted according to the requirements of Chinese cardiac surgery registration study and combined with the characteristics of patients undergoing cardiac surgery in our center.

Exclusion criteria

Exclusion criteria: 1. Patients with missing clinical data; 2. Patients who refused to participate in the study; 3. Patients who do not conform to the type of surgery in this study.

Design outcomes

Primary

MeasureTime frame
SEN, SPE, ACC, AUC of ROC, PV+, PV-;

Countries

China

Contacts

Public ContactZhang Yangyang

Shanghai Dongfang Hospital

zhangyangyang_wy@vip.sina.com+86 13818132320

Outcome results

None listed

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