The rapid growth of mobile health (mHealth) applications underscores the pressing need for robust evaluation platforms that ensure quality, efficacy, and stakeholder alignment. This paper introduces a quantitative, evidence-based framework that addresses these gaps through dynamic attribute weighting and multi-criteria decision analysis. The platform integrates methodologies such as CRITIC-TOPSIS and AI-driven attribute prioritization, validated through systematic reviews and expert analyses. Preliminary evaluations demonstrate potential for generating actionable insights tailored to diverse mHealth applications and stakeholder needs. Future work includes detailed literature reviews, platform development and real-life use case deployment to refine its applicability and impact.
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