Clinical Data for Non-Invasive Prenatal Testing Timing and Trisomy Classification

A de-identified clinical dataset collected for a study on Non-Invasive Prenatal Testing (NIPT). It includes maternal clinical information, gestational age, cell-free fetal DNA indicators, prenatal screening records, and confirmed fetal karyotype results for trisomies 21, 18, and 13. The data was used to construct multi-model algorithms for optimizing NIPT timing and predicting fetal chromosomal abnormality risk, matching a manuscript submitted to BMC Pregnancy and Childbirth.

Use Cases

• Optimizing the timing of Non-Invasive Prenatal Testing (NIPT) based on gestational age and clinical indicators.
• Training multi-model classification algorithms to predict fetal trisomy risk based on cell-free fetal DNA (cffDNA) indicators.
• Validating prenatal screening models against confirmed fetal karyotype results.
• Studying the relationship between maternal clinical information and chromosomal abnormality outcomes.

Strengths

• Data is fully de-identified to protect personal privacy and meet ethical requirements.
• Includes confirmed fetal karyotype results, providing a ground truth for model validation.
• Dataset size is 452.7 KB, making it a small, manageable file for initial exploration.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, uploaded by author 鹏涛 刘.

Collection Method

Collected for a clinical study, likely from a hospital or prenatal screening program.

Freshness

Last updated 2026-05-19 18:30:03; freshness should be verified.