Cargando…

Machine Learning in Healthcare

Recent advancements in Artificial Intelligence (AI) and Machine Learning (ML) technology have brought on substantial strides in predicting and identifying health emergencies, disease populations, and disease state and immune response, amongst a few. Although, skepticism remains regarding the practic...

Descripción completa

Detalles Bibliográficos
Autores principales:	Habehh, Hafsa, Gohel, Suril
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Bentham Science Publishers 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8822225/ https://www.ncbi.nlm.nih.gov/pubmed/35273459 http://dx.doi.org/10.2174/1389202922666210705124359

Ejemplares similares

Machine learning models using non-linear techniques improve the prediction of resting energy expenditure in individuals receiving hemodialysis
por: Bailey, Alainn, et al.
Publicado: (2023)

Functional activity within the frontal eye fields, posterior parietal cortex, and cerebellar vermis significantly correlates to symmetrical vergence peak velocity: an ROI-based, fMRI study of vergence training
por: Alvarez, Tara L., et al.
Publicado: (2014)

Task vs. rest—different network configurations between the coactivation and the resting-state brain networks
por: Di, Xin, et al.
Publicado: (2013)

Convergence Insufficiency Neuro-Mechanism Adult Population Study: Phoria Adaptation Results
por: Sangoi, Ayushi, et al.
Publicado: (2021)

Resonance-Paced Breathing Alters Neural Response to Visual Cues: Proof-of-Concept for a Neuroscience-Informed Adjunct to Addiction Treatments
por: Bates, Marsha E., et al.
Publicado: (2019)

Modeling Causal Relationships among Brain Areas in the Mesocorticolimbic System during Resting-State in Cocaine Users Utilizing a Graph Theoretic Approach
por: Ray, Suchismita, et al.
Publicado: (2017)

Test–retest of a phoria adaptation stimulus-induced functional MRI experiment
por: Morales, Cristian, et al.
Publicado: (2020)

Graph Theoretical Analysis of Functional Brain Networks: Test-Retest Evaluation on Short- and Long-Term Resting-State Functional MRI Data
por: Wang, Jin-Hui, et al.
Publicado: (2011)

Machine learning for healthcare technologies
por: Clifton, David A
Publicado: (2016)

Machine learning in healthcare informatics
por: Dua, Sumeet, et al.
Publicado: (2014)

Machine Learning Theory and Applications for Healthcare
por: Khare, Ashish, et al.
Publicado: (2017)

Neuroimaging and Neurocognitive Outcomes in Older Patients with Multiple Myeloma Treated with Chemotherapy and Autologous Stem Cell Transplantation
por: Correa, Denise D., et al.
Publicado: (2023)

Neuroimaging and Neurocognitive Outcomes in Older Patients with Multiple Myeloma Treated with Chemotherapy and Autologous Stem Cell Transplantation
por: Correa, Denise D., et al.
Publicado: (2023)

Altered Large-Scale Resting-State Functional Network Connectivity in Convergence Insufficiency Young Adults Compared With Binocularly Normal Controls
por: Hajebrahimi, Farzin, et al.
Publicado: (2023)

A Single Session of rTMS Enhances Small-Worldness in Writer’s Cramp: Evidence from Simultaneous EEG-fMRI Multi-Modal Brain Graph
por: Bharath, Rose D., et al.
Publicado: (2017)

Ensuring machine learning for healthcare works for all
por: McCoy, Liam G, et al.
Publicado: (2020)

The Agile Deployment of Machine Learning Models in Healthcare
por: Jackson, Stuart, et al.
Publicado: (2019)

Causal machine learning for healthcare and precision medicine
por: Sanchez, Pedro, et al.
Publicado: (2022)

Enabling Fairness in Healthcare Through Machine Learning
por: Grote, Thomas, et al.
Publicado: (2022)

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

Using machine learning for healthcare treatment planning
por: Dubey, Snigdha, et al.
Publicado: (2023)

Machine learning for healthcare: handling and managing data
por: Agrawal, Rashmi, et al.
Publicado: (2020)

Involvement of Machine Learning Tools in Healthcare Decision Making
por: Jayatilake, Senerath Mudalige Don Alexis Chinthaka, et al.
Publicado: (2021)

Machine Learning for Healthcare Wearable Devices: The Big Picture
por: Sabry, Farida, et al.
Publicado: (2022)

Recovery of resting brain connectivity ensuing mild traumatic brain injury
por: Bharath, Rose D., et al.
Publicado: (2015)

Pyrethroid Pesticide Exposure and Parental Report of Learning Disability and Attention Deficit/Hyperactivity Disorder in U.S. Children: NHANES 1999–2002
por: Quirós-Alcalá, Lesliam, et al.
Publicado: (2014)

Identifying Effective Biomarkers for Accurate Pancreatic Cancer Prognosis Using Statistical Machine Learning
por: Abu-Khudir, Rasha, et al.
Publicado: (2023)

Machine learning and artificial intelligence: applications in healthcare epidemiology
por: Hamilton, Alisa J., et al.
Publicado: (2021)

Promise and Provisos of Artificial Intelligence and Machine Learning in Healthcare
por: Bhardwaj, Anish
Publicado: (2022)

Artificial intelligence and machine learning in pediatrics and neonatology healthcare
por: Matsushita, Felipe Yu, et al.
Publicado: (2022)

A Catalogue of Machine Learning Algorithms for Healthcare Risk Predictions †
por: Mavrogiorgou, Argyro, et al.
Publicado: (2022)

Metaverse and Healthcare: Machine Learning-Enabled Digital Twins of Cancer
por: Moztarzadeh, Omid, et al.
Publicado: (2023)

Machine Learning Based Diabetes Classification and Prediction for Healthcare Applications
por: Butt, Umair Muneer, et al.
Publicado: (2021)

Appositeness of Optimized and Reliable Machine Learning for Healthcare: A Survey
por: Swain, Subhasmita, et al.
Publicado: (2022)

Machine Learning Approach to Optimize Sedation Use in Endoscopic Procedures
por: SYED, Shorabuddin, et al.
Publicado: (2021)

Healthcare analytics made simple: techniques in healthcare computing using machine learning and Python
por: Kumar, Vikas
Publicado: (2018)

Innovative feature-driven machine learning and deep learning for finance, education, and healthcare
por: Parisi, Luca, et al.
Publicado: (2023)

Clinician checklist for assessing suitability of machine learning applications in healthcare
por: Scott, Ian, et al.
Publicado: (2021)

Comment on “Artificial intelligence and machine learning in pediatrics and neonatology healthcare”
por: Malerbi, Fernando Korn, et al.
Publicado: (2022)

Underlying neurological mechanisms associated with symptomatic convergence insufficiency
por: Alvarez, Tara L., et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_shsbp9gs8rdej740q1men5dfp1