Cargando…

Machine Learning Models for Image-Based Diagnosis and Prognosis of COVID-19: Systematic Review

BACKGROUND: Accurate and timely diagnosis and effective prognosis of the disease is important to provide the best possible care for patients with COVID-19 and reduce the burden on the health care system. Machine learning methods can play a vital role in the diagnosis of COVID-19 by processing chest...

Descripción completa

Detalles Bibliográficos
Autores principales:	Montazeri, Mahdieh, ZahediNasab, Roxana, Farahani, Ali, Mohseni, Hadis, Ghasemian, Fahimeh
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2021
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8074953/ https://www.ncbi.nlm.nih.gov/pubmed/33735095 http://dx.doi.org/10.2196/25181

Ejemplares similares

Prediction of mortality risk and duration of hospitalization of COVID-19 patients with chronic comorbidities based on machine learning algorithms
por: Amiri, Parastoo, et al.
Publicado: (2023)

Application of machine learning methods in predicting schizophrenia and bipolar disorders: A systematic review
por: Montazeri, Mahdieh, et al.
Publicado: (2022)

Machine learning models for predicting diagnosis or prognosis of COVID-19: A systematic review
por: Dabbagh, Rufaidah, et al.
Publicado: (2021)

Evaluating Neck Circumference as an Independent Predictor of Metabolic Syndrome and Its Components Among Adults: A Population-Based Study
por: Mohseni-Takalloo, Sahar, et al.
Publicado: (2023)

Supervised machine learning models applied to disease diagnosis and prognosis
por: Mariani, Maria C, et al.
Publicado: (2019)

Editorial: Machine learning and psychosis: Diagnosis, prognosis and treatment
por: D'Ambrosio, Enrico, et al.
Publicado: (2023)

Machine Learning for Lung Cancer Diagnosis, Treatment, and Prognosis
por: Li, Yawei, et al.
Publicado: (2022)

Discovering Knee Osteoarthritis Imaging Features for Diagnosis and Prognosis: Review of Manual Imaging Grading and Machine Learning Approaches
por: Teoh, Yun Xin, et al.
Publicado: (2022)

Applied machine learning in cancer research: A systematic review for patient diagnosis, classification and prognosis
por: Kourou, Konstantina, et al.
Publicado: (2021)

Predicting CTS Diagnosis and Prognosis Based on Machine Learning Techniques
por: Elseddik, Marwa, et al.
Publicado: (2023)

An interpretable machine learning framework for diagnosis and prognosis of COVID-19
por: Fan, Yongxian, et al.
Publicado: (2023)

Applications of different machine learning approaches in prediction of breast cancer diagnosis delay
por: Dehdar, Samira, et al.
Publicado: (2023)

Retracted: Discovering Knee Osteoarthritis Imaging Features for Diagnosis and Prognosis: Review of Manual Imaging Grading and Machine Learning Approaches
por: Healthcare Engineering, Journal of
Publicado: (2023)

Machine Learning Analysis of Immune Cells for Diagnosis and Prognosis of Cutaneous Melanoma
por: Du, Huibin, et al.
Publicado: (2022)

Machine learning to analyse omic-data for COVID-19 diagnosis and prognosis
por: Liu, Xuehan, et al.
Publicado: (2023)

Role of Artificial Intelligence and Machine Learning in Prediction, Diagnosis, and Prognosis of Cancer
por: Gaur, Kritika, et al.
Publicado: (2022)

Machine Learning Approaches in Diagnosis, Prognosis and Treatment Selection of Cardiac Amyloidosis
por: Allegra, Alessandro, et al.
Publicado: (2023)

Machine Learning and Deep Learning Applications in Multiple Myeloma Diagnosis, Prognosis, and Treatment Selection
por: Allegra, Alessandro, et al.
Publicado: (2022)

Machine Learning Models for the Diagnosis and Prognosis Prediction of High-Grade B-Cell Lymphoma
por: Kong, Hui, et al.
Publicado: (2022)

Hybrid classical-quantum machine learning based on dissipative two-qubit channels
por: Ghasemian, E., et al.
Publicado: (2022)

Machine learning models for diagnosis and prognosis of Parkinson's disease using brain imaging: general overview, main challenges, and future directions
por: Garcia Santa Cruz, Beatriz, et al.
Publicado: (2023)

Sexual and reproductive health‐related questions and concerns of newly married couples: A qualitative content analysis
por: Ranjbar, Fahimeh, et al.
Publicado: (2023)

Machine-Learning-Based m5C Score for the Prognosis Diagnosis of Osteosarcoma
por: Zhang, Haijie, et al.
Publicado: (2021)

Machine Learning Demonstrates High Accuracy for Disease Diagnosis and Prognosis in Plastic Surgery
por: Mantelakis, Angelos, et al.
Publicado: (2021)

The role of mobile health in prevention, diagnosis, treatment and self-care of COVID-19 from the healthcare professionals’ perspectives
por: Montazeri, Mahdieh, et al.
Publicado: (2023)

An Analysis of New Feature Extraction Methods Based on Machine Learning Methods for Classification Radiological Images
por: Zadeh, Firoozeh Abolhasani, et al.
Publicado: (2022)

Prognosis and Early Diagnosis of Ductal and Lobular Type in Breast Cancer Patient
por: EHTEMAM, Houriyeh, et al.
Publicado: (2017)

Neural Decoding of EEG Signals with Machine Learning: A Systematic Review
por: Saeidi, Maham, et al.
Publicado: (2021)

Image-Based Cardiac Diagnosis With Machine Learning: A Review
por: Martin-Isla, Carlos, et al.
Publicado: (2020)

Diffusion tensor imaging for the differential diagnosis of Parkinsonism by machine learning
por: Tsai, Chih-Chien, et al.
Publicado: (2023)

Magnetic resonance imaging assessments for knee segmentation and their use in combination with machine/deep learning as predictors of early osteoarthritis diagnosis and prognosis
por: Martel-Pelletier, Johanne, et al.
Publicado: (2023)

Machine learning and deep learning approach for medical image analysis: diagnosis to detection
por: Rana, Meghavi, et al.
Publicado: (2022)

Effects of Image Quantity and Image Source Variation on Machine Learning Histology Differential Diagnosis Models
por: Vali-Betts, Elham, et al.
Publicado: (2021)

Application of Immune Infiltration Signature and Machine Learning Model in the Differential Diagnosis and Prognosis of Bone-Related Malignancies
por: Li, Guo-Qi, et al.
Publicado: (2021)

A systematic review on machine learning and deep learning techniques in the effective diagnosis of Alzheimer’s disease
por: Arya, Akhilesh Deep, et al.
Publicado: (2023)

The level of satisfaction and quality of E-learning in medical universities of Iran during the epidemic of COVID-19
por: Iravani, Mina, et al.
Publicado: (2022)

Machine learning and microsimulation techniques on the prognosis of dementia: A systematic literature review
por: Dallora, Ana Luiza, et al.
Publicado: (2017)

Machine Learning Analysis of Image Data Based on Detailed MR Image Reports for Nasopharyngeal Carcinoma Prognosis
por: Cui, Chunyan, et al.
Publicado: (2020)

Deep Learning for Lung Cancer Diagnosis, Prognosis and Prediction Using Histological and Cytological Images: A Systematic Review
por: Davri, Athena, et al.
Publicado: (2023)

Machine learning‐based models to predict the need for neurosurgical intervention after moderate traumatic brain injury
por: Habibzadeh, Adrina, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_jeaoefpcjvlpfvbielkn6c3011