Publication archive
Papers, preprints, and research outputs organized for quick review.
The archive keeps peer-reviewed work and public preprints in one place, with category and year filters for scanning by maturity, venue, and research period.
Peer-reviewed
4 publications
Preprints
4 public preprints
Archive span
8 entries across 3 years
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Publications and preprints
Peer-reviewed journal articles and accepted manuscripts.
Archive state
4 entries visible in publications.
Year filter
Year stays secondary to the category view.
Forecasting ICU Acute Kidney Injury with Actionable Lead Time Using Interpretable Machine Learning: Development and Multi-Center Validation
Extends kidney injury prediction toward real lead-time utility instead of retrospective signal mining alone.
Summary
Interpretable machine-learning models are developed to forecast ICU acute kidney injury with actionable lead time, including multi-center validation to test generalizability.
Abdulla Zahi Hourani; Zuzanna Jakubowska; Jolanta Malyzsko
Prognostic Value of Different Iron Status Definitions in Congestive Heart Failure: A Retrospective MIMIC-IV Analysis of Risk Stratification and Mortality
Shows how more precise phenotyping can materially change downstream prognostic separation.
Summary
Retrospective MIMIC-IV analysis compares multiple iron-status definitions for one-year mortality risk stratification in congestive heart failure.
Hourani A; Surmeli A; Devarapalli S
Clinical Picture and Outcomes in Patients Diagnosed with Brain Abscess
Pairs clinically grounded infection research with a stronger systems view of hospitalization trajectories.
Summary
Retrospective cohort study characterizes the presentation and outcomes of patients with brain abscess, highlighting factors linked to hospital course and prognosis.
Furman-Dlubala A; Bednarska A; Radkowski M; Paciorek M; Kolodziejska J; Laskus T; Bursa D; Porowski D; Makowiecki M; Hourani A et al.
The Impact of COVID-19 Non-Pharmaceutical Interventions on Notifiable Infectious Diseases in Poland: A Comprehensive Analysis from 2014-2022
Connects model thinking to surveillance, policy shifts, and long-horizon epidemiologic interpretation.
Summary
A population-level analysis of notifiable infectious disease trends in Poland from 2014 to 2022, covering the period shaped by COVID-19 interventions.
Abdulla Zahi Hourani; Abdelrahman Abdelsalam; Arman David Surmeli
Record
Structured local archive
Publications are maintained as local structured data so titles, venues, dates, DOI links, summaries, and takeaways stay consistent across the site.
Scope
Clinical and translational AI
The archive emphasizes renal prediction, heart-failure risk stratification, infectious disease surveillance, and clinically grounded modeling.
External profiles
Canonical indexing lives elsewhere
DOI records, ORCID, Google Scholar, and publisher pages remain the source of truth for final bibliographic status.
Contact
For publications, datasets, or research collaboration, email is the clearest route.
Relevant overlaps include renal outcomes, clinical prediction, registry-scale analysis, multimodal systems, clinical NLP, and translational evaluation.
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