Cargando…

Commentary: Machine learning in clinical decision-making

Detalles Bibliográficos
Autores principales:	Filiberto, Amanda C., Donoho, Daniel A., Leeds, Ira L., Loftus, Tyler J.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Digital Health
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426737/ https://www.ncbi.nlm.nih.gov/pubmed/37588023 http://dx.doi.org/10.3389/fdgth.2023.1214111

Ejemplares similares

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

Personalized decision-making for acute cholecystitis: Understanding surgeon judgment
por: Filiberto, Amanda C., et al.
Publicado: (2022)

Embracing the uncertainty in human–machine collaboration to support clinical decision-making for mental health conditions
por: Popat, Ram, et al.
Publicado: (2023)

Accessing Artificial Intelligence for Clinical Decision-Making
por: Giordano, Chris, et al.
Publicado: (2021)

Emerging data inputs for infectious diseases surveillance and decision making
por: Shausan, Aminath, et al.
Publicado: (2023)

Usability and performance expectancy govern spine surgeons’ use of a clinical decision support system for shared decision-making on the choice of treatment of common lumbar degenerative disorders
por: Eiskjær, Søren, et al.
Publicado: (2023)

A case for preference-sensitive decision timelines to aid shared decision-making in intensive care: need and possible application
por: Göcking, Beatrix, et al.
Publicado: (2023)

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

Designing for patient decision-making: Design challenges generated by patients with atrial fibrillation during evaluation of a decision aid prototype
por: Fanio, Janette, et al.
Publicado: (2023)

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

Patient preferences as human factors for health data recommender systems and shared decision making in orthopaedic practice
por: Singh, Akanksha, et al.
Publicado: (2023)

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

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

A data-driven framework for clinical decision support applied to pneumonia management
por: Free, Robert C., et al.
Publicado: (2023)

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

Decision-centered design of a clinical decision support system for acute management of pediatric congenital heart disease
por: Assadi, Azadeh, et al.
Publicado: (2022)

Developing machine learning systems worthy of trust for infection science: a requirement for future implementation into clinical practice
por: McFadden, Benjamin R., et al.
Publicado: (2023)

Commentary: Effectiveness of a hybrid digital substance abuse prevention approach combining e-learning and in-person class sessions
por: Gorman, Dennis M.
Publicado: (2023)

Machine Learning for Localizing Epileptogenic-Zone in the Temporal Lobe: Quantifying the Value of Multimodal Clinical-Semiology and Imaging Concordance
por: Alim-Marvasti, Ali, et al.
Publicado: (2021)

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

Ready for Prime Time? Using Normalization Process Theory to Evaluate Implementation Success of Personal Health Records Designed for Decision Making
por: Davis, Selena
Publicado: (2020)

Smartphone Technology for Clinical Communication in the COVID-19 Era: A Commentary on the Concerning Trends in Data Compliance
por: John, Bernadette, et al.
Publicado: (2022)

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)

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)

Predicting Pulmonary Function From the Analysis of Voice: A Machine Learning Approach
por: Alam, Md. Zahangir, et al.
Publicado: (2022)

Explainable Machine Learning for COVID-19 Pneumonia Classification With Texture-Based Features Extraction in Chest Radiography
por: de Moura, Luís Vinícius, et al.
Publicado: (2022)

Using Machine Learning to Predict Mortality for COVID-19 Patients on Day 0 in the ICU
por: Jamshidi, Elham, et al.
Publicado: (2022)

Commentary: The desire of medical students to integrate artificial intelligence into medical education: An opinion article
por: Zhong, Jimmy Y., et al.
Publicado: (2023)

Machine learning for maternal health: Predicting delivery location in a community health worker program in Zanzibar
por: Fredriksson, Alma, et al.
Publicado: (2022)

The Diagnosis of Dengue in Patients Presenting With Acute Febrile Illness Using Supervised Machine Learning and Impact of Seasonality
por: Ming, Damien K., et al.
Publicado: (2022)

Assessing optimal methods for transferring machine learning models to low-volume and imbalanced clinical datasets: experiences from predicting outcomes of Danish trauma patients
por: Millarch, Andreas Skov, et al.
Publicado: (2023)

A Perspective on a Quality Management System for AI/ML-Based Clinical Decision Support in Hospital Care
por: Bartels, Richard, et al.
Publicado: (2022)

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

Participatory Design and Process Testing to Optimize Utility, Usability, and Acceptability of a Mobile Game for Promoting Evidence-Driven Public Health Decision-Making in Resource-Constrained Settings
por: Sinnatwah, James Douglas, et al.
Publicado: (2022)

Using Machine Learning and the National Health and Nutrition Examination Survey to Classify Individuals With Hearing Loss
por: Ellis, Gregory M., et al.
Publicado: (2021)

Semi-automation of keratopathy visual acuity grading of corneal events in belantamab mafodotin clinical trials: clinical decision support software
por: Talekar, Mala K., et al.
Publicado: (2023)

Using machine learning to identify patient characteristics to predict mortality of in-patients with COVID-19 in South Florida
por: Datta, Debarshi, et al.
Publicado: (2023)

COVID-19 Prognostic Models: A Pro-con Debate for Machine Learning vs. Traditional Statistics
por: Al-Hindawi, Ahmed, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_4im46bh4ian3rl8aqq20idm9p7