Prediction of emergency department hospital admission based on natural language processing and neural networks
Objective: To describe and compare logistic regression and neural network modeling
strategies to predict hospital admission or transfer following initial presentation to …
strategies to predict hospital admission or transfer following initial presentation to …
Prediction of acute appendicitis among patients with undifferentiated abdominal pain at emergency department
Background Early screening and accurately identifying Acute Appendicitis (AA) among
patients with undifferentiated symptoms associated with appendicitis during their emergency …
patients with undifferentiated symptoms associated with appendicitis during their emergency …
ML models for severity classification and length-of-stay forecasting in emergency units
Abstract Length-of-stay (LoS) prediction and severity classification for patients in emergency
units in a clinic or hospital are crucial problems for public and private health networks. An …
units in a clinic or hospital are crucial problems for public and private health networks. An …
Applied bibliometrics and information visualization for decision-making processes in higher education institutions
C Vílchez-Román, S Sanguinetti, M Mauricio-Salas - Library Hi Tech, 2021 - emerald.com
Purpose The purpose of this paper is to analyse how using bibliometrics and information
visualization can provide a “picture at glance” from which decision-makers can structure …
visualization can provide a “picture at glance” from which decision-makers can structure …
Advanced diagnostic imaging utilization during emergency department visits in the United States: A predictive modeling study for emergency department triage
Background Emergency department (ED) crowding is associated with negative health
outcomes, patient dissatisfaction, and longer length of stay (LOS). The addition of advanced …
outcomes, patient dissatisfaction, and longer length of stay (LOS). The addition of advanced …
Use of natural language processing to improve predictive models for imaging utilization in children presenting to the emergency department
Objective To examine the association between the medical imaging utilization and
information related to patients' socioeconomic, demographic and clinical factors during the …
information related to patients' socioeconomic, demographic and clinical factors during the …
Automatic text categorization and summarization using rule reduction
CL Devasena, M Hemalatha - IEEE-International Conference …, 2012 - ieeexplore.ieee.org
Text mining is a new field that attempts to bring together meaningful information from natural
language text. Automatic Text categorization and summarization is the process of assigning …
language text. Automatic Text categorization and summarization is the process of assigning …
Text mining in radiology reports (Methodologies and algorithms), and how it affects on workflow and supports decision making in clinical practice (Systematic review)
A Al-Aiad, T El-shqeirat - 2020 11th International Conference on …, 2020 - ieeexplore.ieee.org
The purpose of this review was to summarize the algorithms and methodologies of text-
mining and demonstrate the main objective of text-mining on radiology reports in health care …
mining and demonstrate the main objective of text-mining on radiology reports in health care …
Clustering of 27,525,663 death records from the United States based on health conditions associated with death: An example of big health data exploration
DJA Janssen, S Rechberger, EFM Wouters… - Journal of Clinical …, 2019 - mdpi.com
Background: Insight into health conditions associated with death can inform healthcare
policy. We aimed to cluster 27,525,663 deceased people based on the health conditions …
policy. We aimed to cluster 27,525,663 deceased people based on the health conditions …
[PDF][PDF] A parallel implementation of the self organising map using OpenCL
G Davidson - University of Glasgow, 2015 - dcs.gla.ac.uk
The self organising map is a machine learning algorithm used to produce low dimensional
representations of high dimensional data. While the process is becoming more and more …
representations of high dimensional data. While the process is becoming more and more …