Author

Y. Banad

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Open access Sep 2026

Comparing the use of supervised machine learning variable selection methods in the context of two-group classification in the psychological and health sciences

Introduction Variable selection (VS) is crucial for building accurate and generalizable classification models. Reducing the necessary number of variables improves model efficiency, interpretability, and generalizability while reducing data collection burden. Despite the availability of various VS methods, their compara...

Catherine M. Bain, Ding-Jing Shi, Y. Banad et al. · Frontiers in Psychology · 0 citations

#human-computer interacti... Review Sep 2026

Adaptive Ecological Momentary Assessment with a Hybrid Language Model: Formative Expert Review and Retrospective Evaluation

EMA-E4B, a hybrid framework for question selection and prompt timing, is presented and retrospectively evaluated to establish a concrete, inspectable framework and clarify the distinct roles of action scoring and response review.

Arash Ahmadi, Ding-Jing Shi, Y. Banad · 0 citations

Review Jul 2026

A clinically grounded taxonomy and systematic review of artificial intelligence for cardiovascular diagnosis: From machine learning to multimodal and agentic systems

A PRISMA 2020-guided systematic review and proposed six-layer taxonomy that organizes cardiovascular AI according to diagnostic objectives, data modalities, modeling paradigms, data integration complexity, interpretability and trustworthiness, and deployment maturity provides a unified framework for organizing contempo...

Z. Rezaei, Mohammad Amin Amini, Y. Banad · Comput. Biol. Medicine · 0 citations