Development of risk stratification tool for prediction of preterm birth with Artificial intelligence.
Not Applicable
- Conditions
- Health Condition 1: O94- Sequelae of complication of pregnancy, childbirth, and the puerperium
- Registration Number
- CTRI/2023/11/060089
- Lead Sponsor
- ICMR
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- ot Yet Recruiting
- Sex
- Not specified
- Target Recruitment
- 0
Inclusion Criteria
All women who had preterm birth ( <37 week’s gestation) either spontaneous or induced, by vaginal route or by cesarean section were included.
Exclusion Criteria
Women who had delivery <24 week and >37 weeks’ of gestation
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Prevalence of preterm birth in the study population.Timepoint: 3 years 6 months
- Secondary Outcome Measures
Name Time Method To describe the sociodemographic and clinical characteristics, and comorbidity of the cohort of pregnant women. <br/ ><br>To estimate the prevalence of preterm birth in the study population. <br/ ><br>To identify the characteristics of pregnant women with preterm birth. <br/ ><br>To determine the risk factors and causes of preterm births.Timepoint: 3 years 6 months