Cargando…

Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review

AIM: To perform a systematic review on the use of Artificial Intelligence (AI) techniques for predicting COVID-19 hospitalization and mortality using primary and secondary data sources. STUDY ELIGIBILITY CRITERIA: Cohort, clinical trials, meta-analyses, and observational studies investigating COVID-...

Descripción completa

Detalles Bibliográficos
Autores principales:	Shakibfar, Saeed, Nyberg, Fredrik, Li, Huiqi, Zhao, Jing, Nordeng, Hedvig Marie Egeland, Sandve, Geir Kjetil Ferkingstad, Pavlovic, Milena, Hajiebrahimi, Mohammadhossein, Andersen, Morten, Sessa, Maurizio
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Public Health
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319067/ https://www.ncbi.nlm.nih.gov/pubmed/37408750 http://dx.doi.org/10.3389/fpubh.2023.1183725

Ejemplares similares

Low reliability of DNA methylation across Illumina Infinium platforms in cord blood: implications for replication studies and meta-analyses of prenatal exposures
por: Olstad, Emilie Willoch, et al.
Publicado: (2022)

Effects of prenatal exposure to (es)citalopram and maternal depression during pregnancy on DNA methylation and child neurodevelopment
por: Olstad, Emilie Willoch, et al.
Publicado: (2023)

AI-based disease risk score for community-acquired pneumonia hospitalization
por: Shakibfar, Saeed, et al.
Publicado: (2023)

Complex patterns of concomitant medication use: A study among Norwegian women using paracetamol during pregnancy
por: Salvatore, Stefania, et al.
Publicado: (2017)

Sequential Monte Carlo multiple testing
por: Sandve, Geir Kjetil, et al.
Publicado: (2011)

ClusTrack: Feature Extraction and Similarity Measures for Clustering of Genome-Wide Data Sets
por: Rydbeck, Halfdan, et al.
Publicado: (2015)

Initiation of antihypertensive drugs to patients with confirmed COVID‐19—A population‐based cohort study in Sweden
por: Mousa, Salar Issa, et al.
Publicado: (2022)

Artificial Intelligence in Pharmacoepidemiology: A Systematic Review. Part 1—Overview of Knowledge Discovery Techniques in Artificial Intelligence
por: Sessa, Maurizio, et al.
Publicado: (2020)

Artificial Intelligence in Pharmacoepidemiology: A Systematic Review. Part 2–Comparison of the Performance of Artificial Intelligence and Traditional Pharmacoepidemiological Techniques
por: Sessa, Maurizio, et al.
Publicado: (2021)

Prenatal medication exposure and epigenetic outcomes: a systematic literature review and recommendations for prenatal pharmacoepigenetic studies
por: Olstad, Emilie Willoch, et al.
Publicado: (2021)

Use of interrupted time-series analysis to characterise antibiotic prescription fills across pregnancy: a Norwegian nationwide cohort study
por: Trinh, Nhung Thi Hong, et al.
Publicado: (2021)

A machine-learning guided method for predicting add-on and switch in secondary data sources: A case study on anti-seizure medications in Danish registries
por: Breitenstein, Peter Suhr, et al.
Publicado: (2022)

No impact of prenatal paracetamol and folic acid exposure on cord blood DNA methylation in children with attention-deficit/hyperactivity disorder
por: Olstad, Emilie Willoch, et al.
Publicado: (2023)

A survey of motif discovery methods in an integrated framework
por: Sandve, Geir Kjetil, et al.
Publicado: (2006)

Access to ground truth at unconstrained size makes simulated data as indispensable as experimental data for bioinformatics methods development and benchmarking
por: Sandve, Geir Kjetil, et al.
Publicado: (2022)

Risk of Premenopausal and Postmenopausal Breast Cancer among Multiple Sclerosis Patients
por: Hajiebrahimi, Mohammadhossein, et al.
Publicado: (2016)

Compo: composite motif discovery using discrete models
por: Sandve, Geir Kjetil, et al.
Publicado: (2008)

Correction to: Patterns and predictors of analgesic use in pregnancy: a longitudinal drug utilization study with special focus on women with migraine
por: Harris, Gerd-Marie Eskerud, et al.
Publicado: (2022)

KAGE: fast alignment-free graph-based genotyping of SNPs and short indels
por: Grytten, Ivar, et al.
Publicado: (2022)

The rainfall plot: its motivation, characteristics and pitfalls
por: Domanska, Diana, et al.
Publicado: (2017)

Profiling the baseline performance and limits of machine learning models for adaptive immune receptor repertoire classification
por: Kanduri, Chakravarthi, et al.
Publicado: (2022)

Improved benchmarks for computational motif discovery
por: Sandve, Geir Kjetil, et al.
Publicado: (2007)

Ten Simple Rules for Reproducible Computational Research
por: Sandve, Geir Kjetil, et al.
Publicado: (2013)

Genome build information is an essential part of genomic track files
por: Kanduri, Chakravarthi, et al.
Publicado: (2017)

Mind the gaps: overlooking inaccessible regions confounds statistical testing in genome analysis
por: Domanska, Diana, et al.
Publicado: (2018)

CompAIRR: ultra-fast comparison of adaptive immune receptor repertoires by exact and approximate sequence matching
por: Rognes, Torbjørn, et al.
Publicado: (2022)

Multiple sclerosis and risk of young-adult-onset Hodgkin lymphoma
por: Montgomery, Scott, et al.
Publicado: (2016)

In the loop: promoter–enhancer interactions and bioinformatics
por: Mora, Antonio, et al.
Publicado: (2016)

NucBreak: location of structural errors in a genome assembly by using paired-end Illumina reads
por: Khelik, Ksenia, et al.
Publicado: (2020)

Chromatin states reveal functional associations for globally defined transcription start sites in four human cell lines
por: Rye, Morten, et al.
Publicado: (2014)

Assessment of composite motif discovery methods
por: Klepper, Kjetil, et al.
Publicado: (2008)

Colocalization analyses of genomic elements: approaches, recommendations and challenges
por: Kanduri, Chakravarthi, et al.
Publicado: (2019)

immuneSIM: tunable multi-feature simulation of B- and T-cell receptor repertoires for immunoinformatics benchmarking
por: Weber, Cédric R, et al.
Publicado: (2020)

Rationale and performances of a data-driven method for computing the duration of pharmacological prescriptions using secondary data sources
por: Pazzagli, Laura, et al.
Publicado: (2022)

A population‐based, retrospective cohort study of the association between ABO blood group and risk of COVID‐19
por: Dahlén, Torsten, et al.
Publicado: (2022)

The Occurrence of Metabolic Risk Factors Stratified by Psoriasis Severity: A Swedish Population-Based Matched Cohort Study
por: Hajiebrahimi, Mohammadhossein, et al.
Publicado: (2020)

Leveraging artificial intelligence to analyze the COVID-19 distribution pattern based on socio-economic determinants
por: Ghahramani, Mohammadhossein, et al.
Publicado: (2021)

Transcriptionally Active Regions Are the Preferred Targets for Chromosomal HPV Integration in Cervical Carcinogenesis
por: Christiansen, Irene Kraus, et al.
Publicado: (2015)

NucDiff: in-depth characterization and annotation of differences between two sets of DNA sequences
por: Khelik, Ksenia, et al.
Publicado: (2017)

Editorial: Genomic Colocalization and Enrichment Analyses
por: Kanduri, Chakravarthi, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_ksdrb7bofjoh12d3pmio2mgqnn