# ADAPQUEST: A Software for Web-Based Adaptive Questionnaires based on Bayesian Networks

arXiv: https://arxiv.org/abs/2112.14476 · HTML: https://mlsanity.com/paper/2112.14476/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 2 of its 19 references that are in the map.
- First posted on arXiv 29 Dec 2021.

## Builds on (most cited first, 2 of 2)

- [A New Score for Adaptive Tests in Bayesian and Credal Networks](https://mlsanity.com/paper/2105.12205/) (2021)
- [Monotonicity in practice of adaptive testing](https://mlsanity.com/paper/2009.06981/) (2020)

## Built on by (most cited first, 1 of 1)

- [Adaptive questionnaires for facilitating patient data entry in clinical decision support systems: Methods and application to STOPP/START v2](https://mlsanity.com/paper/2309.10398/) (2023)

## Abstract (arXiv)

We introduce ADAPQUEST, a software tool written in Java for the development of adaptive questionnaires based on Bayesian networks. Adaptiveness is intended here as the dynamical choice of the question sequence on the basis of an evolving model of the skill level of the test taker. Bayesian networks offer a flexible and highly interpretable framework to describe such testing process, especially when coping with multiple skills. ADAPQUEST embeds dedicated elicitation strategies to simplify the elicitation of the questionnaire parameters. An application of this tool for the diagnosis of mental disorders is also discussed together with some implementation details.