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TripodAI: An Automated Rule-Based Extraction Tool for Assessing TRIPOD+AI Reporting Compliance

Year: 2026

Type: software

Abstract: A Python-based rule-based extraction tool designed to audit and evaluate compliance with the 27 TRIPOD+AI reporting guidelines in clinical prediction model literature. Version 2.1 features streamlined rule definitions, enhanced modular architecture (extractor.py, rules.py, models.py), and refined extraction logic for rigorous methodological assessment.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22164593

Author: Sulaiman, Abubakar Musa

Institution: Federal Neuropsychiatric Hospital Dawanau, Kano

Language: English

Topic: Meta-analysis and systematic reviews

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W7204667782

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