AIMC Topic: Hospitalization
Clear Filters Showing 161 to 170 of 481 articles
Identification of hospitalized mortality of patients with COVID-19 by machine learning models based on blood inflammatory cytokines.
Frontiers in public health
Nov 17, 2022
Coronavirus disease 2019 (COVID-19) spread worldwide and presented a significant threat to people's health. Inappropriate disease assessment and treatment strategies bring a heavy burden on healthcare systems. Our study aimed to construct predictive ...
Early prediction of patient discharge disposition in acute neurological care using machine learning.
BMC health services research
Oct 25, 2022
BACKGROUND: Acute neurological complications are some of the leading causes of death and disability in the U.S. The medical professionals that treat patients in this setting are tasked with deciding where (e.g., home or facility), how, and when to di...
Dynamic prediction of life-threatening events for patients in intensive care unit.
BMC medical informatics and decision making
Oct 22, 2022
BACKGROUND: Early prediction of patients' deterioration is helpful in early intervention for patients at greater risk of deterioration in Intensive Care Unit (ICU). This study aims to apply machine learning approaches to heterogeneous clinical data f...
Prediction of Prognosis in Patients with Trauma by Using Machine Learning.
Medicina (Kaunas, Lithuania)
Oct 1, 2022
We developed a machine learning algorithm to analyze trauma-related data and predict the mortality and chronic care needs of patients with trauma. We recruited admitted patients with trauma during 2015 and 2016 and collected their clinical data. Th...
Comparing two machine learning approaches in predicting lupus hospitalization using longitudinal data.
Scientific reports
Sep 30, 2022
Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disease characterized by flares ranging from mild to life-threatening. Severe flares and complications can require hospitalizations, which account for most of the direct costs of SLE ca...
DeepBackRib: Deep learning to understand factors associated with readmissions after rib fractures.
The journal of trauma and acute care surgery
Sep 19, 2022
BACKGROUND: Deep neural networks yield high predictive performance, yet obscure interpretability limits clinical applicability. We aimed to build an explainable deep neural network that elucidates factors associated with readmissions after rib fractu...
Real-world Implementation of an eHealth System Based on Artificial Intelligence Designed to Predict and Reduce Emergency Department Visits by Older Adults: Pragmatic Trial.
Journal of medical Internet research
Sep 8, 2022
BACKGROUND: Frail older people use emergency services extensively, and digital systems that monitor health remotely could be useful in reducing these visits by earlier detection of worsening health conditions.
Imbalanced prediction of emergency department admission using natural language processing and deep neural network.
Journal of biomedical informatics
Aug 19, 2022
The emergency department (ED) plays a very significant role in the hospital. Owing to the rising number of ED visits, medical service points, and ED market, overcrowding of EDs has become serious worldwide. Overcrowding has long been recognized as a ...
Exploration of machine learning methods to predict systemic lupus erythematosus hospitalizations.
Lupus
Jul 14, 2022
OBJECTIVES: Systemic lupus erythematosus (SLE) is a heterogeneous disease characterized by disease flares which can require hospitalization. Our objective was to apply machine learning methods to predict hospitalizations for SLE from electronic healt...
Electronic Health Record-Based Deep Learning Prediction of Death or Severe Decompensation in Heart Failure Patients.
JACC. Heart failure
Jul 6, 2022
BACKGROUND: Surgical mechanical ventricular assistance and cardiac replacement therapies, although life-saving in many heart failure (HF) patients, remain high-risk. Despite this, the difficulty in timely identification of medical therapy nonresponde...
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