Developing predictive models using machine learning techniques to assess the risk factors influencing post operative Peak expiratory flow rate following upper abdominal surgery.
Not Applicable
- Conditions
- Health Condition 1: O- Medical and Surgical
- Registration Number
- CTRI/2024/06/068341
- Lead Sponsor
- Dr Lairenjam Deepa Devi
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- ot Yet Recruiting
- Sex
- Not specified
- Target Recruitment
- 0
Inclusion Criteria
1. Patients scheduled for elective upper abdominal surgeries e.g. cholecystectomy, gastrectomy, hernia repair either open or laparoscopic.
2. Adults aged 18years and above.
Exclusion Criteria
1. Emergency surgeries.
2. Patients unable to provide informed consent.
3. Patients who are unable to comprehend and perform PEFR
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method
- Secondary Outcome Measures
Name Time Method