five

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
下载链接
链接失效反馈
官方服务:
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
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作