[HTML][HTML] A comparative study of supervised machine learning approaches to predict patient triage outcomes in hospital emergency departments

H Elhaj, N Achour, MH Tania, K Aciksari - Array, 2023‏ - Elsevier
Background The inconsistency in triage evaluation in emergency departments (EDs) and the
limitations in practice within the standard triage tools among triage nurses have led …

A fall prediction methodology for elderly based on a depth camera

R Alazrai, Y Mowafi, E Hamad - 2015 37th Annual International …, 2015‏ - ieeexplore.ieee.org
With the aging of society population, efficient tracking of elderly activities of daily living
(ADLs) has gained interest. Advancements of assisting computing and sensor technologies …

Mobile DIORAMA-II: Infrastructure less information collection system for mass casualty incidents

A Ganz, JM Schafer, Z Yang, J Yi… - 2014 36th Annual …, 2014‏ - ieeexplore.ieee.org
In this paper we introduce DIORAMA-II system that provides real time information collection
in mass casualty incidents. Using a mobile platform that includes active RFID tags and …

Tracking human mobility at mass gathering events using WISP

Y Mowafi, A Zmily, I Dhiah el Diehn… - … conference on future …, 2013‏ - ieeexplore.ieee.org
Mass gathering events, where thousands of people meet in a confined area for a defined
period of time, pose a severe strain on the safety and security of the gathering crowds. The …

Fuzzy Ontology for Patient Emergency Department Triage

K Fakhfakh, SB Othman, L Jourdan, G Smith… - International Conference …, 2021‏ - Springer
Triage in emergency department (ED) is adopted procedure in several countries using
different emergency severity index systems. The objective is to subdivide patients into …

A semantic-based model for triage patients in emergency departments

G Wunsch, CA Da Costa, RR Righi - Journal of medical systems, 2017‏ - Springer
Triage is a process performed in an emergency department that aims to sort patients
according to their need for care. When performed speedily and correctly, this process can …

Combat triage support using the Internet of Military Things

M Dyk, M Chmielewski… - … Federated Conference on …, 2017‏ - ieeexplore.ieee.org
Triage on the battlefield is a very challenging task. Life of the wounded soldiers depends on
the efficiency of this process and there is still lack of supporting solutions. This paper …

DIORAMA enhances efficiency of a mass casualty incident: system and experimentation

A Ganz, JM Schafer, Z Yang, J Yi… - 2016 38th Annual …, 2016‏ - ieeexplore.ieee.org
In this paper we show DIORAMA efficiency in a simulated Mass Casualty Incident drill. As
shown by our results DIORAMA system has achieved orderly transport of patients from site …

[PDF][PDF] Semantic Analysis and Complex Networks as Conjugated Techniques Supporting Decision Making.

PI Lancellotta, V Ströele, R Braga, JMN David… - ICEIS (2), 2018‏ - scitepress.org
The expansion scenario in information technology has led to the need for the analysis of
huge amounts of data to manage information for quick decision making. This paper presents …

Machine Learning-Based Triage System to Predict Patient Outcomes in Hospital Emergency Departments

H Elhaj, N Achour, M Hoque Tania… - Available at SSRN …‏ - papers.ssrn.com
The inconsistency in triage evaluation in emergency departments (EDs) and the limitations
in practice within the standard triage tools have led researchers to seek robust triage …