tac2017-adr

Query TAC 2017 ADR drug labels for adverse reactions by drug, ADR, or MedDRA ID.

130|4|Updated Mar 13, 2026
One-click install
npx skills add https://github.com/QSong-github/DrugClaw --skill tac2017-adr
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tac2017-adr
Source: https://github.com/QSong-github/DrugClaw/tree/main/skills/drug_nlp/tac2017
Command: npx skills add https://github.com/QSong-github/DrugClaw --skill tac2017-adr

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

TAC 2017 ADR provides a dataset of FDA drug labels annotated for adverse drug reactions and MedDRA normalization. This skill enables targeted querying of drugs, ADRs, and MedDRA codes to support evidence-grounded retrieval and analysis.

Core Features & Use Cases

  • Entity auto-detection for drugs, ADRs, and MedDRA IDs.
  • Retrieval API including search, search_batch, summarize, to_json, list_drugs, and stats.
  • Use Case: Quickly identify all ADRs associated with a drug like ACTEMRA and view evidence sources.

Quick Start

Load the TAC 2017 ADR dataset and run a query such as ACTEMRA to retrieve its adverse reactions.

Frequently Asked Questions about tac2017-adr

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I retrieve adverse drug reactions from TAC 2017 drug labels?

The TAC 2017 ADR dataset contains FDA drug labels annotated for adverse drug reactions and MedDRA normalization. It supports evidence-grounded retrieval by allowing targeted queries across drugs, ADRs, and MedDRA codes.

How do I list all drugs and get dataset statistics for TAC 2017 ADR extraction?

To list all drugs and get dataset statistics for TAC 2017 ADR extraction, use the provided list_drugs and stats API methods. These return structured, machine-friendly results for downstream research workflows.

Can I batch search multiple MedDRA IDs and ADR strings in the TAC 2017 dataset?

Yes, you can batch search multiple MedDRA IDs and ADR strings in the TAC 2017 dataset using the search_batch API method. It processes multiple queries simultaneously and returns structured hits with source metadata for analysis.

Does the ADR extraction skill support exporting results to JSON?

The ADR extraction skill supports exporting results to JSON using the to_json API method. This facilitates deterministic data loading from TSV or JSON sources for downstream QA workflows.

What are the limitations of using TAC 2017 drug labels for adverse reaction retrieval?

A limitation of using TAC 2017 drug labels for adverse reaction retrieval is that data is confined to the specific FDA drug labels and MedDRA annotations included in the 2017 dataset release.