Cargando…

COVID-19 Prognostic Models: A Pro-con Debate for Machine Learning vs. Traditional Statistics

The SARS-CoV-2 virus, which causes the COVID-19 pandemic, has had an unprecedented impact on healthcare requiring multidisciplinary innovation and novel thinking to minimize impact and improve outcomes. Wide-ranging disciplines have collaborated including diverse clinicians (radiology, microbiology,...

Descripción completa

Detalles Bibliográficos
Autores principales:	Al-Hindawi, Ahmed, Abdulaal, Ahmed, Rawson, Timothy M., Alqahtani, Saleh A., Mughal, Nabeela, Moore, Luke S. P.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Digital Health
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8734592/ https://www.ncbi.nlm.nih.gov/pubmed/35005694 http://dx.doi.org/10.3389/fdgth.2021.637944

Ejemplares similares

Clinical Utility and Functionality of an Artificial Intelligence–Based App to Predict Mortality in COVID-19: Mixed Methods Analysis
por: Abdulaal, Ahmed, et al.
Publicado: (2021)

Comparison of deep learning with regression analysis in creating predictive models for SARS-CoV-2 outcomes
por: Abdulaal, Ahmed, et al.
Publicado: (2020)

Bacteraemia variation during the COVID-19 pandemic; a multi-centre UK secondary care ecological analysis
por: Denny, Sarah, et al.
Publicado: (2021)

Prognostic Modeling of COVID-19 Using Artificial Intelligence in the United Kingdom: Model Development and Validation
por: Abdulaal, Ahmed, et al.
Publicado: (2020)

Haematological and hepatic adverse effects of ceftriaxone in ambulatory care: a dual-centre retrospective observational analysis of standard vs high dose
por: Mistry, Rakhee, et al.
Publicado: (2022)

Machine learning and synthetic outcome estimation for individualised antimicrobial cessation
por: Bolton, William J., et al.
Publicado: (2022)

Pro-Con Debate: Nitrous Oxide for Labor Analgesia
por: Vallejo, Manuel C., et al.
Publicado: (2019)

Structured data vs. unstructured data in machine learning prediction models for suicidal behaviors: A systematic review and meta-analysis
por: Hopkins, Danielle, et al.
Publicado: (2022)

Pro/con ethics debate: When is dead really dead?
por: Whetstine, Leslie, et al.
Publicado: (2005)

Pro/con clinical debate: Hydroxyethylstarches should be avoided in septic patients
por: Schortgen, Frédérique, et al.
Publicado: (2003)

Oral Immunotherapy for Food-Allergic Children: A Pro-Con Debate
por: Mori, Francesca, et al.
Publicado: (2021)

Artificial Intelligence and Statistics: Just the Old Wine in New Wineskins?
por: Faes, Livia, et al.
Publicado: (2022)

Pro/Con debate: Should 24/7 in-house intensivist coverage be implemented?
por: Arabi, Yaseen
Publicado: (2008)

Pro/con clinical debate: Steroids are a key component in the treatment of SARS
por: Gomersall, Charles D, et al.
Publicado: (2004)

Pro/con debate: Should synthetic colloids be used in patients with septic shock?
por: Downar, James, et al.
Publicado: (2009)

Pro/con ethics debate: is nonheart-beating organ donation ethically acceptable?
por: Whetstine, Leslie, et al.
Publicado: (2002)

Pro/con clinical debate: Are steroids useful in the management of patients with septic shock?
por: Ritacca, Frank V, et al.
Publicado: (2002)

Pro/con debate: Is etomidate safe in hemodynamically unstable critically ill patients?
por: Flynn, Gordon, et al.
Publicado: (2012)

Pro-con debate on regionalization of emergency general surgery: controversy or common sense?
por: Santry, Heena, et al.
Publicado: (2019)

Should ceftriaxone-resistant Enterobacterales be tested for ESBLs? A PRO/CON debate
por: Villegas, Maria Virginia, et al.
Publicado: (2021)

Should opioids be used for breathlessness and in whom? A PRO and CON debate of the evidence
por: Ekström, Magnus, et al.
Publicado: (2023)

Investigating the association between ethnicity and health outcomes in SARS-CoV-2 in a London secondary care population
por: Patel, Aatish, et al.
Publicado: (2020)

Commentary: Artificial Intelligence and Statistics: Just the Old Wine in New Wineskins?
por: de Hond, Anne A. H., et al.
Publicado: (2022)

Editorial: Machine Learning in Clinical Decision-Making
por: Filiberto, Amanda C., et al.
Publicado: (2021)

An integration engineering framework for machine learning in healthcare
por: Assadi, Azadeh, et al.
Publicado: (2022)

Commentary: Machine learning in clinical decision-making
por: Filiberto, Amanda C., et al.
Publicado: (2023)

Procalcitonin to Guide Antibacterial Prescribing in Patients Hospitalised with COVID-19
por: Hughes, Stephen, et al.
Publicado: (2021)

Editorial: Machine Learning and Wearable Technology in Sleep Medicine
por: Leppänen, Timo, et al.
Publicado: (2022)

Pro/con debate: Is the scoop and run approach the best approach to trauma services organization?
por: Haas, Barbara, et al.
Publicado: (2008)

Pro/con clinical debate: Is high-volume hemofiltration beneficial in the treatment of septic shock?
por: Reiter, Karl, et al.
Publicado: (2002)

Correction: Pro-con debate on regionalization of emergency general surgery: controversy or common sense?
Publicado: (2019)

Leveraging machine learning to examine engagement with a digital therapeutic
por: Heusser, Andrew C., et al.
Publicado: (2023)

Optimizing Aggregated N-Of-1 Trial Designs for Predictive Biomarker Validation: Statistical Methods and Theoretical Findings
por: Hendrickson, Rebecca C., et al.
Publicado: (2020)

Machine Learning Revealed New Correlates of Chronic Pelvic Pain in Women
por: Elgendi, Mohamed, et al.
Publicado: (2020)

Editorial: Machine Learning for Non/Less-Invasive Methods in Health Informatics
por: Qian, Kun, et al.
Publicado: (2021)

Clinical deployment environments: Five pillars of translational machine learning for health
por: Harris, Steve, et al.
Publicado: (2022)

Fairness in the prediction of acute postoperative pain using machine learning models
por: Davoudi, Anis, et al.
Publicado: (2023)

Leveraging machine learning and prescriptive analytics to improve operating room throughput
por: Al Zoubi, Farid, et al.
Publicado: (2023)

Comparison of machine learning approaches for near-fall-detection with motion sensors
por: Hellmers, Sandra, et al.
Publicado: (2023)

Apps and Online Platforms for Patients with Heart Failure
por: Ahmed, Nida, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_nip5ochqjcndjas192mcdihnoj