Archives

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  Inaugural Issue

  Vol. 1 No. 1 (2026)

  Published on 13 September 2026 as the inaugural issue of the Journal of Predictive Health Analytics and Clinical Informatics (JPHACI), opening with a single substantial article: SmartCoughNet, a deep learning-based mobile framework that screens for respiratory disease from cough audio. The study addresses a global public-health burden where timely screening matters, and builds its contribution around accessible acoustic analysis rather than imaging or laboratory testing, with the classification pipeline, feature representation and mobile deployment described and evaluated. That focus sets the speciality of the journal's first issue: predictive analytics designed for clinical usefulness at the point of care and for settings where specialist diagnostic infrastructure is limited. Later issues extend the same concern from audio screening to laboratory biomarkers and real-time computer vision, but the inaugural article defines the editorial standard — a predictive model is complete only when its clinical pathway, data requirements and deployment constraints are made explicit.

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  Second Issue

  Vol. 1 No. 2 (2026)

  Published on 10 October 2026 as the second issue of the Journal of Predictive Health Analytics and Clinical Informatics (JPHACI). Two double-blind peer-reviewed articles define the journal's complementary directions. The first is a scoping review of clinically actionable artificial intelligence for early disease detection, mapping how multimodal laboratory biomarkers and point-of-care diagnostics perform in resource-limited settings and asking what separates analytical accuracy from clinical actionability. The second presents an intelligent computer-vision framework for eye-state detection and adaptive screen control, combining MediaPipe Face Mesh and eye-aspect-ratio analysis with automatic brightness adjustment and sleep management in a real-time Streamlit dashboard. The speciality of the issue is that it holds evidence synthesis and deployable systems together: one paper interrogates whether predictive models change clinical decisions, the other shows a predictive model running in real time on ordinary hardware.