HipAAsynth/synthetic-chest-pain-diagnostic
收藏Hugging Face2026-03-27 更新2026-03-29 收录
下载链接:
https://hf-mirror.com/datasets/HipAAsynth/synthetic-chest-pain-diagnostic
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资源简介:
---
license: cc-by-nc-4.0
task_categories:
- tabular-classification
- tabular-regression
tags:
- synthetic
- healthcare
- EHR
- deterministic
- hipaasynth
- chest-pain
- diagnostic
- triage
- troponin
- ECG
- emergency-medicine
version: "1.0.0"
size_categories:
- n<1K
configs:
- config_name: default
data_files:
- split: train
path: "chest_pain_diagnostic_100_seed2026.csv"
---
## Available Sizes
200 patients — $19
500 patients — $39
1,000 patients — $89
1,000 + customization — $189
Deterministic synthetic healthcare data.
CSV + schema included.
Instant delivery.
# Synthetic Chest Pain Diagnostic Population
Synthetic diagnostic population for chest pain evaluation and triage.
## Overview
| Property | Value |
|----------|-------|
| Patients | 100 |
| Seed | 2026 |
| Anchor Hash | `46b91fac6de52048...` |
| Determinism Hash | `45d282765014cd91...` |
| Generated By | HipAAsynth v1.0.0 |
| License | CC BY-NC 4.0 |
## What This Is
A fully synthetic, deterministic clinical cohort simulating patients presenting with chest pain in an emergency department setting. Designed for:
- Triage model testing and validation
- Rule-out / rule-in workflow simulation
- Diagnostic pipeline benchmarking
- Edge-case and stress testing
- Pre-deployment evaluation of clinical decision support tools
## Fully Synthetic
This dataset contains **zero real patient data**. Every record is algorithmically generated. No protected health information (PHI) is present. All records are labeled `SYNTHETIC`.
## Deterministic Reproducibility
Same seed produces byte-identical output across runs. The determinism hash above can be used to verify exact reproduction.
**Your Seed Is Your Dataset.**
## Fields
| Field | Description |
|-------|-------------|
| patient_id | Unique synthetic identifier |
| data_type | Always `SYNTHETIC` |
| age | Patient age (18-95) |
| sex | Biological sex |
| ethnicity | Ethnicity category |
| smoker | Smoker status |
| diabetes | Diabetes diagnosis |
| hypertension | Hypertension |
| hyperlipidemia | Hyperlipidemia |
| coronary_artery_disease | Known CAD |
| chronic_kidney_disease | CKD |
| heart_failure_history | HF history |
| chest_pain_type | Pain classification (7 types) |
| symptom_onset_hours | Hours since onset |
| chest_pain_severity_0_10 | Severity scale |
| exertional | Exertion-provoked |
| radiation_to_arm | Arm radiation |
| diaphoresis | Sweating |
| nausea | Nausea |
| dyspnea | Dyspnea |
| systolic_bp | SBP (mmHg) |
| diastolic_bp | DBP (mmHg) |
| heart_rate | HR (bpm) |
| respiratory_rate | RR |
| spo2 | O2 saturation (%) |
| temperature_c | Temperature (C) |
| troponin_initial | Initial hs-cTn (ng/L) |
| troponin_repeat_3h | 3h repeat hs-cTn (ng/L) |
| ecg_flag | normal / abnormal |
| ecg_st_elevation | ST-elevation present |
| ecg_st_depression | ST-depression present |
| ecg_t_wave_inversion | T-wave inversion present |
| risk_bucket | low / intermediate / high / critical |
| likely_diagnosis | Synthetic diagnostic label (11 classes) |
| disposition | ED disposition (5 outcomes) |
## Chest Pain Types
- typical_angina
- atypical_angina
- non_anginal
- pleuritic
- musculoskeletal
- reflux_like
- anxiety_like
## Diagnostic Classes
- acute_coronary_syndrome
- unstable_angina
- stemi
- nstemi
- gerd
- musculoskeletal_pain
- anxiety_related
- pulmonary_embolism_like
- pneumonia_like
- heart_failure_exacerbation
- nonspecific_chest_pain
## Disposition Values
- discharge
- repeat_troponin_observation
- cardiology_workup
- emergent_cath_pathway
- inpatient_admission
## Risk Buckets
- low
- intermediate
- high
- critical
## Use Cases
- Train and validate ML triage models
- Benchmark rule-out algorithms (troponin + ECG pathways)
- Test edge cases (young STEMI, elderly low-risk, CKD troponin elevation)
- Validate FHIR ingestion pipelines
- Pre-deployment testing of clinical decision support systems
- Educational simulation for emergency medicine training
## Legal Disclaimer
HipAAsynth outputs are synthetic and contain no real patient data or protected health information. Products and datasets are intended for testing, development, research, and benchmarking. They are not intended for clinical decision-making, diagnosis, treatment, or patient care.
## Links
- Website: [HipAAsynth.com](https://hipaasynth.com)
- Contact: [HipAAsynth@gmail.com](mailto:HipAAsynth@gmail.com)
## Version History
| Version | Date | Changes |
|---------|------|---------|
| 1.0.0 | March 2026 | Initial release. 100-patient sample, seed 2026. |
提供机构:
HipAAsynth



