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Construction and Validation of a Machine Learning-Based Risk Prediction Model for Delayed Onset Of Lactogenesis in Primiparas

Construction and Validation of a Machine Learning-Based Risk Prediction Model for Delayed Onset Of Lactogenesis in Primiparas

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600126217
Enrollment
Unknown
Registered
2026-06-05
Start date
2026-06-15
Completion date
Unknown
Last updated
2026-06-08

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

Conditions

None listed

Interventions

Modeling group:None
Verification group:None

Sponsors

The First Affiliated Hospital of Shan Tou University Medical College
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1.Primiparas with singleton pregnancy aged >= 18 years old; 2.Women willing to breastfeed and without medical contraindications, such as HIV infection, untreated syphilis, etc. 3.Provided informed consent and participated voluntarily;

Exclusion criteria

Exclusion criteria: 1.History of breast surgery (e.g., breast reduction, breast augmentation), abnormal breast tissue development, and retained placental fragments. 2.Use of lactation-affecting medications during the study period, such as domperidone, bromocriptine, etc. 3.Parturients with critical illness, hearing impairment, speech disorders or other conditions resulting in inability to cooperate;

Design outcomes

Primary

MeasureTime frame
Delayed onset of lactogenesis;—

Countries

China

Contacts

Public ContactLuo Linhong

The First Affiliated Hospital of Shan Tou University Medical College

luolh1972@163.com+86 754 83968888

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Jun 11, 2026