Fertility Intentions in Crohn's Disease Patients with Psychosocial and Clinical Predictors

276 prospectively recruited patients with Crohn's disease aged 18–45 years from a tertiary center in China. Jinghan Liu published this dataset on figshare in 2026, containing variables used to train and validate interpretable machine learning models predicting fertility intentions. SHapley Additive exPlanations analysis identified marital status, desired number of children, and perceived family support as the most influential predictors.

Use Cases

• Training interpretable machine learning models to predict fertility intentions based on demographic, clinical, and psychosocial variables.
• Identifying key psychosocial determinants, such as marital status and perceived family support, influencing reproductive decision-making in chronic illness.
• Benchmarking model performance using metrics like AUC, accuracy, and decision curve analysis as described in the source study.
• Conducting feature importance analysis using SHAP values to explain model predictions for clinical application.

Strengths

• Includes data from 276 patients, a specific sample size for a clinical study.
• Features standardized assessments covering demographic, clinical, psychosocial, and fertility-related variables as described.
• Model performance was evaluated with multiple metrics including AUC, accuracy, calibration, and decision curve analysis.
• Data is shared under a permissive CC-BY-4.0 license, facilitating reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data reflects a single-center study in China, which may limit generalizability to other populations.

Provenance

Source

Jinghan Liu via figshare.

Collection Method

Prospective recruitment of patients from a tertiary center, with participants completing standardized assessments.

Freshness

Last updated 2026-05-22 06:10:54; freshness should be verified.

Geography

Data was collected from a tertiary center in China.