Synthetic Metabolic Datasets

This page demonstrates the structure of synthetic datasets available in this category, including variable schema, preview data, and reproducibility using the Syntherx SDK.

Example Dataset

Example Metabolic Schema

Schema and example preview for datasets in this category, fetched from the blueprint API.

Variable Schema

Loading schema...

Data Preview

First 9 rows (preview only)

patient_id	age	sex	treatment_group	baseline_measure	outcome_measure
P000001	71	Female	treatment	8.3	6.8
P000002	43	Male	control	9	7.1
P000003	59	Female	treatment	8.8	7.5
P000004	67	Male	control	9.1	7.5
P000005	44	Male	control	8.9	7
P000006	65	Male	treatment	7.9	6.9
P000007	51	Female	treatment	9.6	8.3
P000008	53	Male	control	8.7	8
P000009	51	Female	treatment	8.6	7.4

Reproduce This Dataset

Recreate this dataset in Python (Jupyter, Kaggle, or Google Colab) using the Syntherx SDK.

# Install Syntherx SDK
pip install syntherx

from syntherx import generate_dataset

df = generate_dataset(
    blueprint="metabolic_glucose_insulin",
    rows=5000
)

df.to_csv("metabolic_glucose_insulin.csv")

Use Cases

Diabetes and metabolic disorder modeling
Glucose-insulin dynamics analysis
Risk prediction for metabolic syndrome

Privacy-Safe Synthetic Dataset

Contains no real patient data
Generated using statistical simulation
Designed for machine learning research

No datasets in this category yet. Browse all datasets

Unlock the Syntherx Platform

Generate custom datasets tailored to your research and AI needs.

Generate custom datasets

← Back to all datasets