The CAD-MDD : A Computerized Adaptive Diagnostic Screening Tool for Depression

By Robert D. Gibbons, Giles Hooker, M. Finkelman, David J. Weiss, P. Pilkonis, David J. Kupfer. 2013

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Dino Pedreschi
2. Fosca Giannotti
3. Q. Liao
4. Riccardo Guidotti
5. Anna Monreale
6. Franco Turini
7. D. Gruen
8. Salvatore Ruggieri

Citations in the corpus

• A Survey of Methods for Explaining Black Box Models (2018, background): “[114] proposes Single Tree Approximation (STA), an extension of [29] which empowers the construction of the final decision tree cg by using test hypothesis to understand which are the best splits observing the Gini indexes on the trees of the random forest b.”
• Questioning the AI: Informing Design Practices for Explainable AI User Experiences (2020, methodology): “(Global) Decision tree approximation Approximate the model to an interpretable decision-tree [33, 46, 51] How, Why, Why not, What if”