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Research on a Prognostic Prediction Model for Feeding Difficulties in Preterm Infants Based on Machine Learning

Research on a Prognostic Prediction Model for Feeding Difficulties in Preterm Infants Based on Machine Learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600128624
Enrollment
Unknown
Registered
2026-07-23
Start date
2026-08-01
Completion date
Unknown
Last updated
2026-08-03

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

Conditions

Preterm infants hospitalized in the neonatology department

Interventions

Observation group:None
Retrospective section:None

Sponsors

The First People's Hospital of Foshan
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Newborns with a gestational age of less than 37 weeks; 2.Pediatric patients who have not undergone surgery.

Exclusion criteria

Exclusion criteria: 1. Conditions requiring fasting due to the need for surgery; 2.Necrotizing enterocolitis; 3. Gastrointestinal malformations; 4. Severe respiratory tract infections.

Design outcomes

Primary

MeasureTime frame
Indwelling nasogastric tube;—

Secondary

MeasureTime frame
Sucking function;—

Countries

China

Contacts

Public ContactLishan Chen

The First People's Hospital of Foshan

dream.cls@163.com+86 757 83161805

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Aug 10, 2026