Cargando…

Distributed lag inspired machine learning for predicting vaccine-induced changes in COVID-19 hospitalization and intensive care unit admission

Distributed lags play important roles in explaining the short-run dynamic and long-run cumulative effects of features on a response variable. Unlike the usual lag length selection, important lags with significant weights are selected in a distributed lag model (DLM). Inspired by the importance of di...

Descripción completa

Detalles Bibliográficos
Autores principales:	Khan, Atikur R., Hasan, Khandaker Tabin, Abedin, Sumaiya, Khan, Saleheen
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637108/ https://www.ncbi.nlm.nih.gov/pubmed/36335113 http://dx.doi.org/10.1038/s41598-022-21969-9

Ejemplares similares

Effects of corruption and income inequality on the reported number of COVID-19 cases and deaths: Evidence from a time series cross-sectional data analysis
por: Khan, Atikur R., et al.
Publicado: (2022)

Association of ambient Particulate matter 2.5 with intensive care unit admission due to pneumonia: a distributed lag non-linear model
por: Zhang, Zhongheng, et al.
Publicado: (2017)

Bio-inspired Machine Learning for Distributed Confidential Multi-Portfolio Selection Problem
por: Khan, Ameer Tamoor, et al.
Publicado: (2022)

4P Model for Dynamic Prediction of COVID-19: a Statistical and Machine Learning Approach
por: Hasan, Khandaker Tabin, et al.
Publicado: (2021)

Physics-inspired machine learning of localized intensive properties
por: Chen, Ke, et al.
Publicado: (2023)

Utilizing Machine Learning Methods for Preoperative Prediction of Postsurgical Mortality and Intensive Care Unit Admission
por: Chiew, Calvin J., et al.
Publicado: (2020)

Distributed Lag Analyses of Daily Hospital Admissions and Source-Apportioned Fine Particle Air Pollution
por: Lall, Ramona, et al.
Publicado: (2011)

Nephrology Lagging Behind in Machine Learning Utilization
por: Cassol, Clarissa, et al.
Publicado: (2021)

Lag-time effects of vaccination on SARS-CoV-2 dynamics in German hospitals and intensive-care units
por: Lokonon, Bruno Enagnon, et al.
Publicado: (2023)

Development of a machine learning model for predicting pediatric mortality in the early stages of intensive care unit admission
por: Lee, Bongjin, et al.
Publicado: (2021)

Predictors of Escalation to Intensive Care Unit Level of Care Among Admissions for Alcohol Withdrawal
por: Mohan, Gaurav, et al.
Publicado: (2023)

Association of an Emergency Department–Based Intensive Care Unit With Survival and Inpatient Intensive Care Unit Admissions
por: Gunnerson, Kyle J., et al.
Publicado: (2019)

Clinical and biochemical predictors of intensive care unit admission among patients with diabetic ketoacidosis
por: Khan, Adeel Ahmad, et al.
Publicado: (2023)

Analysis and Prediction of COVID-19 Pandemic in Bangladesh by Using ANFIS and LSTM Network
por: Chowdhury, Anjir Ahmed, et al.
Publicado: (2021)

Modeling exposure–lag–response associations with distributed lag non-linear models
por: Gasparrini, Antonio
Publicado: (2014)

Distributed lag non-linear models
por: Gasparrini, A, et al.
Publicado: (2010)

dLagM: An R package for distributed lag models and ARDL bounds testing
por: Demirhan, Haydar
Publicado: (2020)

A Comparative Analysis of PID, Lead, Lag, Lead-Lag, and Cascaded Lead Controllers for a Drug Infusion System
por: Jadoon, Zuwwar Khan, et al.
Publicado: (2017)

A Machine Learning Model for Early Prediction and Detection of Sepsis in Intensive Care Unit Patients
por: Singh, Yash Veer, et al.
Publicado: (2022)

Predicting Intensive Care Unit admission among patients presenting to the emergency department using machine learning and natural language processing
por: Fernandes, Marta, et al.
Publicado: (2020)

Exposure-Lag-Response in Longitudinal Studies: Application of Distributed-Lag Nonlinear Models in an Occupational Cohort
por: Neophytou, Andreas M, et al.
Publicado: (2018)

Lagged Association between Climate Variables and Hospital Admissions for Pneumonia in South Africa
por: Pedder, Hugo, et al.
Publicado: (2021)

Attributable risk from distributed lag models
por: Gasparrini, Antonio, et al.
Publicado: (2014)

Timing of admissions and outcome of pneumonia in intensive care units in the United Kingdom
por: Boralessa, H, et al.
Publicado: (2007)

Impact of vaccination on admissions to an intensive care unit for COVID-19 in a third-level hospital()
por: González-Castro, A., et al.
Publicado: (2022)

Quality of life before admission to the intensive care unit
por: Tereran, Nathalia Perazzo, et al.
Publicado: (2012)

Audit of Postoperative Surgical Intensive Care Unit Admissions
por: Patel, Shaili K., et al.
Publicado: (2018)

Managing admission and discharge processes in intensive care units
por: Bai, Jie, et al.
Publicado: (2021)

Agile machine learning: effective machine learning inspired by the agile manifesto
por: Carter, Eric, et al.
Publicado: (2019)

Utilization of Decision Tree Algorithms for Supporting the Prediction of Intensive Care Unit Admission of Myasthenia Gravis: A Machine Learning-Based Approach
por: Chang, Che-Cheng, et al.
Publicado: (2022)

Prediction of intensive care unit admission (>24h) after surgery in elective noncardiac surgical patients using machine learning algorithms
por: Lan, Lan, et al.
Publicado: (2022)

Effect of delivery mode on admission to neonatal intensive care unit in healthy singleton pregnancies
por: Ulubaşoğlu, Hasan, et al.
Publicado: (2023)

Machine-Learning-Inspired Workflow for Camera Calibration
por: Pak, Alexey, et al.
Publicado: (2022)

The Hypothetical Psychological Impact of the COVID-19 Pandemic on Pediatrics and Pediatric Emergency Admissions: Evidence from Autoregressive Distributed Lag Model Method
por: Genç Kavas, Hatice, et al.
Publicado: (2023)

Maternal autonomy and high-risk pregnancy in Bangladesh: the mediating influences of childbearing practices and antenatal care
por: Abedin, Sumaiya, et al.
Publicado: (2020)

Evaluation of Psychiatric Intensive Care Unit (PICU) Admissions in Comparison to NAPICU Guidelines on Admissions Criteria
por: Felix, Francis
Publicado: (2023)

Simulation enhanced distributed lag models for mortality displacement
por: Simons, Koen, et al.
Publicado: (2016)

Time and type of admission to a surgical intensive care unit
por: Sebastian, MW, et al.
Publicado: (1999)

Admission source and mortality in a pediatric intensive care unit
por: El Halal, Michel Georges dos Santos, et al.
Publicado: (2012)

Outcomes of Older Adults With Sepsis at Admission to an Intensive Care Unit
por: Rowe, Theresa, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_ror3gll7gsboo1k5ai143uj43j