AIMC Topic: Hospitalization
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Evaluation of an artificial intelligence-based clinical trial matching system in Chinese patients with hepatocellular carcinoma: a retrospective study.
BMC cancer
Feb 22, 2024
BACKGROUND: Artificial intelligence (AI)-assisted clinical trial screening is a promising prospect, although previous matching systems were developed in English, and relevant studies have only been conducted in Western countries. Therefore, we evalua...
Malnutrition risk assessment using a machine learning-based screening tool: A multicentre retrospective cohort.
Journal of human nutrition and dietetics : the official journal of the British Dietetic Association
Feb 13, 2024
BACKGROUND: Malnutrition is associated with increased morbidity, mortality, and healthcare costs. Early detection is important for timely intervention. This paper assesses the ability of a machine learning screening tool (MUST-Plus) implemented in re...
Prediction of emergency department revisits among child and youth mental health outpatients using deep learning techniques.
BMC medical informatics and decision making
Feb 8, 2024
BACKGROUND: The proportion of Canadian youth seeking mental health support from an emergency department (ED) has risen in recent years. As EDs typically address urgent mental health crises, revisiting an ED may represent unmet mental health needs. Ac...
Application of Machine Learning Techniques to Development of Emergency Medical Rapid Triage Prediction Models in Acute Care.
Computers, informatics, nursing : CIN
Jan 1, 2024
Given the critical and complex features of medical emergencies, it is essential to develop models that enable prompt and suitable clinical decision-making based on considerable information. Emergency nurses are responsible for categorizing and priori...
The correlation between serum creatinine and burn severity and its predictive value.
Cellular and molecular biology (Noisy-le-Grand, France)
Dec 31, 2023
This study aimed to explore the correlation between serum creatinine and burn severity and the value of predicting the outcome of patients. For this purpose, a total of 268 burn patients (BUP) were collected. According to the burn area, they were div...
Enhancing Pressure Injury Surveillance Using Natural Language Processing.
Journal of patient safety
Dec 26, 2023
OBJECTIVE: This study assessed the feasibility of nursing handoff notes to identify underreported hospital-acquired pressure injury (HAPI) events.
Deep learning prediction of hospital readmissions for asthma and COPD.
Respiratory research
Dec 13, 2023
QUESTION: Severe asthma and COPD exacerbations requiring hospitalization are linked to increased disease morbidity and healthcare costs. We sought to identify Electronic Health Record (EHR) features of severe asthma and COPD exacerbations and evaluat...
Machine learning-driven development of a disease risk score for COVID-19 hospitalization and mortality: a Swedish and Norwegian register-based study.
Frontiers in public health
Dec 7, 2023
AIMS: To develop a disease risk score for COVID-19-related hospitalization and mortality in Sweden and externally validate it in Norway.
Machine learning models for early prediction of mortality risk in patients with burns: A single center experience.
Journal of plastic, reconstructive & aesthetic surgery : JPRAS
Nov 29, 2023
Mortality rate is considered as the most important outcome measure for assessing the severity of burn injury. A scale or model that accurately predicts burn mortality can be useful to determine the clinical course of burn injuries, discuss treatment ...
CT-derived pectoralis composition and incident pneumonia hospitalization using fully automated deep-learning algorithm: multi-ethnic study of atherosclerosis.
European radiology
Nov 11, 2023
BACKGROUND: Pneumonia-related hospitalization may be associated with advanced skeletal muscle loss due to aging (i.e., sarcopenia) or chronic illnesses (i.e., cachexia). Early detection of muscle loss may now be feasible using deep-learning algorithm...
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