AIMC Topic: Hospitalization
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Readmissions after radical nephrectomy in a national cohort.
Scandinavian journal of urology
Jan 16, 2023
OBJECTIVE: To analyze the factors and costs associated with 30-day readmissions for patients undergoing radical nephrectomy.
Machine Learning as an Adjunct to Traditional Triage in the Emergency Department.
The Journal of emergency medicine
Jan 12, 2023
Clustering of critically ill patients using an individualized learning approach enables dose optimization of mobilization in the ICU.
Critical care (London, England)
Jan 3, 2023
BACKGROUND: While early mobilization is commonly implemented in intensive care unit treatment guidelines to improve functional outcome, the characterization of the optimal individual dosage (frequency, level or duration) remains unclear. The aim of t...
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.
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