AIMC Topic: Hospitalization
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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...
How AI is advancing asthma management? Insights into economic and clinical aspects.
Journal of medical economics
Nov 11, 2023
Asthma, an increasingly prevalent chronic respiratory condition, incurs significant economic costs worldwide. Artificial Intelligence (AI), particularly Machine Learning (ML), has been widely recognized as transformative when applied to asthma care. ...
Forecasting the Acute Heart Failure Admissions: Development of Deep Learning Prediction Model Incorporating the Climate Information.
Journal of cardiac failure
Nov 10, 2023
BACKGROUND: Climate is known to influence the incidence of cardiovascular events. However, their prediction with traditional statistical models remains imprecise.
Leveraging automated approaches to categorize birth defects from abstracted birth hospitalization data.
Birth defects research
Nov 6, 2023
BACKGROUND: The Surveillance for Emerging Threats to Pregnant People and Infants Network (SET-NET) collects data abstracted from medical records and birth defects registries on pregnant people and their infants to understand outcomes associated with ...
Prediction of hospitalization and waiting time within 24 hours of emergency department patients with unstructured text data.
Health care management science
Nov 3, 2023
Overcrowding of emergency departments is a global concern, leading to numerous negative consequences. This study aimed to develop a useful and inexpensive tool derived from electronic medical records that supports clinical decision-making and can be ...
Machine learning in clinical practice: Evaluation of an artificial intelligence tool after implementation.
Emergency medicine Australasia : EMA
Sep 28, 2023
OBJECTIVE: Artificial intelligence (AI) has gradually found its way into healthcare, and its future integration into clinical practice is inevitable. In the present study, we evaluate the accuracy of a novel AI algorithm designed to predict admission...
Complications after partial nephrectomy: robotics overcomes open surgery and laparoscopy: the PMSI French national database.
BMC urology
Sep 15, 2023
PURPOSE: To evaluate three partial nephrectomies (PN) procedures: open (OPN), standard laparoscopy (LPN), and robot-assisted laparoscopy (RAPN), for the risk of initial complications and rehospitalization for two years after the surgery.
Social Risk Factors are Associated with Risk for Hospitalization in Home Health Care: A Natural Language Processing Study.
Journal of the American Medical Directors Association
Aug 5, 2023
OBJECTIVE: This study aimed to develop a natural language processing (NLP) system that identified social risk factors in home health care (HHC) clinical notes and to examine the association between social risk factors and hospitalization or an emerge...
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