alexcpn/fda-faers-parquet
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资源简介：
---
license: cc0-1.0
task_categories:
- tabular-classification
tags:
- pharmacovigilance
- drug-safety
- fda
- faers
- adverse-events
- signal-detection
pretty_name: FDA FAERS Adverse Event Reports (Parquet)
---
# FDA FAERS Adverse Event Reports
Pre-processed [FDA Adverse Event Reporting System (FAERS)](https://www.fda.gov/drugs/fdas-adverse-event-reporting-system-faers) data in Parquet format for pharmacovigilance signal detection.
## Tables
| Table | Description |
|-------|------------|
| DEMO | Demographics and case admin (deduplicated: latest CASEVERSION per CASEID) |
| DRUG | Drug/medication info (drugname, prod_ai, role_cod, route, dose) |
| REAC | Adverse reactions (MedDRA preferred terms) |
| OUTC | Patient outcomes (death, hospitalization, disability, etc.) |
| RPSR | Report sources |
| THER | Therapy dates |
| INDI | Indications for use |
All tables linked by `primaryid`. Drug role codes: PS=Primary Suspect, SS=Secondary Suspect, C=Concomitant, I=Interacting.
## Current Coverage
- **2024 Q4** (410,849 unique cases)
## Usage with DuckDB
```python
import duckdb
conn = duckdb.connect()
conn.install_extension("httpfs")
conn.load_extension("httpfs")
demo = conn.execute("""
SELECT COUNT(*) as total_cases
FROM read_parquet("hf://datasets/alexcpn/fda-faers-parquet/data/DEMO.parquet")
""").fetchdf()
```
## Disclaimer
FAERS is a voluntary reporting system. Report counts do not establish causation.
Disproportionality signals (PRR, ROR) indicate statistical associations that require
clinical validation. Not intended for direct clinical decision-making.
## Source
[FDA FAERS Quarterly Data Extract Files](https://fis.fda.gov/extensions/FPD-QDE-FAERs/FPD-QDE-FAERs.html)
提供机构：
alexcpn
