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Development and validation of machine learning models based on electronic medical record and medical images for lung cancer survival

Development of a screening system for combination of traditional Chinese and western medicines against lung cancer based on target recognition and natural language

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300069854
Enrollment
Unknown
Registered
2023-03-28
Start date
2023-04-01
Completion date
Unknown
Last updated
2023-05-29

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

Conditions

Lung cancer

Interventions

Electronic medical records of lung cancer:N/A
CT Images of lung cancer:N/A

Sponsors

Hubei Cancer Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1) There are no limitations on the participants' gender, age, clinical stage of lung cancer, and treatments received during hospitalization 2) ICD-10 code for the discharging diagnosis should include any of the following: C34, D02 or D38 3) The text of the discharging diagnosis contains the words "cancer" or "malignant"

Exclusion criteria

Exclusion criteria: 1) The primary site of the tumor is respiratory tract or organ other than lung and bronchus 2) Patients with a benign tumor of respiratory tract

Design outcomes

Primary

MeasureTime frame
C-index;—

Secondary

MeasureTime frame
Mean squared error;Area Under the Receiver Operating Characteristic Curve;—

Countries

China

Contacts

Public ContactShaozhong Wei; Xue Xu

Hubei Cancer Hospital; School of Medicine, Wuhan University of Science and Technology

xuexu007@wust.edu.cn18583727816

Outcome results

None listed

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