Predictive modelling in healthcare
Risk, prognosis, and forecasting models built and validated on real clinical data.
JPHACI · Open-access · Peer-reviewed · Published monthly
Research where predictive analytics and clinical practice converge.
JPHACI publishes scholarship on predictive modelling, clinical data science, and health informatics, with rigorous double-blind peer review and a scope-first editorial process designed to give authors candid, timely decisions.
Journal at a Glance
29th
Submission deadline (every month)
4-5 days
First editorial decision
7 days
Peer review
5 days
Submission to acceptance
15 days
Acceptance to publication
34%
Acceptance rate
Typical editorial timelines; actual times vary with submission volume and reviewer availability.
Scope
Clinical data science
Methods for messy, longitudinal, multi-modal patient data.
Health informatics & interoperability
EHR data, standards, and pipelines that move evidence into care.
Model governance & decision support
Validation, fairness, monitoring, and safe deployment at the point of care.
Why publish with JPHACI?
- Double-blind peer review with transparent editorial checks and reasoned decisions.
- Open access from day one under CC BY 4.0, no paywalls, no embargo.
- Scope-first triage: fast, candid early decisions.
- Indexing-ready workflow: DOI, ORCID, and OAI-PMH from issue one.
ISSN (Online): pending · CC BY 4.0 · OAI-PMH enabled · Editorial contact: [email protected]
