Hospital length of stay prediction tools for all hospital admissions and general medicine populations: systematic review and meta-analysis

S Gokhale, D Taylor, J Gill, Y Hu, N Zeps… - Frontiers in …, 2023 - frontiersin.org
Background Unwarranted extended length of stay (LOS) increases the risk of hospital-
acquired complications, morbidity, and all-cause mortality and needs to be recognized and …

Diagnosing an overcrowded emergency department from its Electronic Health Records

L Marzano, AS Darwich, R Jayanth, L Sven, N Falk… - Scientific Reports, 2024 - nature.com
Emergency department overcrowding is a complex problem that persists globally. Data of
visits constitute an opportunity to understand its dynamics. However, the gap between the …

A novel LOF-based ensemble regression tree methodology

G Öngelen, T İnkaya - Neural Computing and Applications, 2023 - Springer
With the emergence of digitilization, numeric prediction has become a prominent problem in
various fields including finance, engineering, industry, and medicine. Among several …

Exploring Hospital Overcrowding with an Explainable Time-to-Event Machine Learning Approach

T Haraldsson, L Marzano, H Krishna… - Digital Health and …, 2024 - ebooks.iospress.nl
Emergency department (ED) overcrowding is a complex problem that is intricately linked
with the operations of other hospital departments. Leveraging ED real-world production data …

[HTML][HTML] Temporal information extraction with the scalable cross-sentence context for electronic health records

S Zhao, L Li - Journal of Biomedical Informatics, 2022 - Elsevier
Temporal information is essential for accurate understanding of medical information hidden
in electronic health record texts. In the absence of temporal information, it is even impossible …

Perspectives on designing data-driven approaches in healthcare based on real-world evidence

L Marzano - 2024 - diva-portal.org
Abstract According to the United States Food and Drug Administration, real-world data are
defined as “data relating to patient health status and/or the delivery of health care routinely …

How to diagnose an overcrowded emergency department from its EHRs? Enhancing opportunities and challenges of real-world data from a whole-system perspective

L Marzano, AS Darwich, R Jayanth, L Sven, N Falk… - 2023 - researchsquare.com
Emergency department overcrowding is a complex problem that persists globally. Data of
visits constitute an opportunity to understand it. However, the gap between the collected …

Impact Assessment of Emerging Technology Trends: The Business Model Impact Radar Applied in Healthcare

P Koebe, A Schoenmann, S Wrobel - Available at SSRN 4682754 - papers.ssrn.com
This article explains the creation of a novel strategic technology radar. The approach
combines the technology radar methodology with the well-established business model …

Knowledge graph representation of electronic health records for clinical predictions

E Alpay - 2022 - research.sabanciuniv.edu
In many countries, key clinical and administrative data of the patients are now systematically
collected, recorded, and stored in digital formats. These patient-specific medical data are …