Objective: The COVID-19 pandemic has placed unprecedented strain on healthcare systems, mainly due to the highly variable and challenging to predict patient length of stay (LOS). This study aims to identify the primary factors impacting LOS for patients before and during the COVID-19 pandemic.
Methods: This study collected electronic medical record data from Zhongnan Hospital of Wuhan University. We employed six machine learning algorithms to predict the probability of LOS.
Results: After implementing variable selection, we identified 35 variables affecting the LOS for COVID-19 patients to establish the model. The top three predictive factors were out-of-pocket amount, medical insurance, and admission deplanement. The experiments conducted showed that XGBoost (XGB) achieved the best performance. The MAE, RMSE, and MAPE errors before and during the COVID-19 pandemic are lower than 3% on average for household registration in Wuhan and non-household registration in Wuhan.
Conclusions: Research finds machine learning is reasonable in predicting LOS before and during the COVID-19 pandemic. This study offers valuable guidance to hospital administrators for planning resource allocation strategies that can effectively meet the demand. Consequently, these insights contribute to improved quality of care and wiser utilization of scarce resources.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11671488 | PMC |
| http://dx.doi.org/10.3389/fdgth.2024.1506071 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Recombinant vs Egg-Based Quadrivalent Influenza Vaccination for Nursing Home Residents: A Cluster Randomized Trial.
JAMA Netw Open
January 2025
Transformative Health Systems Research to Improve Veteran Equity and Independence Center of Innovation, Veterans Affairs Providence Health Care System, Providence, Rhode Island.
Importance: Influenza vaccination remains the most important intervention to prevent influenza morbidity and mortality among nursing home residents. The additional effectiveness of recombinant influenza vaccine vs standard dose vaccines was demonstrated in outpatient older adults but has not been evaluated in nursing home populations.
Objective: To compare hospitalization rates among residents in nursing homes immunized with a recombinant vs a standard dose egg-based influenza vaccine.
This longitudinal study aimed to examine the long-term effects of Reminiscing and Emotion Training (RET), child maltreatment, and the COVID-19 pandemic on maternal elaboration and sensitive guidance during reminiscing. RET was developed to improve maternal elaborative and emotionally sensitive reminiscing among maltreating mothers of preschool-aged children. Of the original 248 mothers and their preschool-aged children who participated in the trial of RET, which included 165 families with maltreatment who were randomized to receive RET ( = 83) or a case management community standard condition (CS, = 82), and a group of demographically similar families with no history of child maltreatment, nonmaltreatment comparison (NC, = 83), 166 families participated in an assessment 5 years postintervention (Time 5; T5) at which children were aged 8-12 years.
View Article and Find Full Text PDFBeyond the virus: ecotoxicological and reproductive impacts of SARS-CoV-2 lysate protein in C57Bl/6j female mice.
Environ Sci Pollut Res Int
January 2025
Post-Graduation Program in Ecology, Conservation, and Biodiversity, Federal University of Uberlândia, Uberlândia, MG, 38408144, Brazil.
Since the establishment of the COVID-19 pandemic, a range of studies have been developed to understand the pathogenesis of SARS-CoV-2 infection, vaccine development, and therapeutic testing. However, the possible impacts that these viruses can have on non-target organisms have been explored little, and our knowledge of the consequences of the COVID-19 pandemic for biota is still very limited. Thus, the current study aimed to address this knowledge gap by evaluating the possible impacts of oral exposure of C57Bl/6 J female mice to SARS-CoV-2 lysate protein (at 20 µg/L) for 30 days, using multiple methods, including behavioral assessments, biochemical analyses, and histopathological examinations.
View Article and Find Full Text PDFTrends and epidemiology of children treated in specialized burn centers in the Netherlands between 2009 and 2022.
Eur J Pediatr
January 2025
Alliance of Dutch Burn Care, Burn Center, Red Cross Hospital, PO Box 1074, 1940 EB, Beverwijk, the Netherlands.
Unlabelled: Knowledge about trends and epidemiology of pediatric burns is useful to identify patterns, to advance medical research, and to design prevention programs and resource allocation. The aim of this study is to describe the epidemiology and trends of pediatric burns between 2009 and 2022 in the three Dutch burn centers. A secondary objective of this study is to evaluate the influence of the COVID-19 pandemic on the pattern of pediatric burns.
View Article and Find Full Text PDFThree new terpenes with potential antibacterial and anti-COVID-19 activities from the stems of R. Br.
Nat Prod Res
January 2025
School of Pharmaceutical Science, Guangzhou University of Chinese Medicine, Guangzhou, P. R. China.
The extract of the stems of R. Br. yielded three new terpenes () including two diterpenes and one triterpene, named euryachins C-E, as well as three known diterpenes ().
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!