Cargando…

Machine learning in chronic obstructive pulmonary disease

Detalles Bibliográficos
Autores principales:	Zhang, Bochao, Wang, Jiping, Chen, Jing, Ling, Zongquan, Ren, Yuhao, Xiong, Daxi, Guo, Liquan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Lippincott Williams & Wilkins 2023
Materias:	Perspective
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10106241/ https://www.ncbi.nlm.nih.gov/pubmed/35946787 http://dx.doi.org/10.1097/CM9.0000000000002247

Ejemplares similares

Quantitative Evaluation System of Wrist Motor Function for Stroke Patients Based on Force Feedback
por: Ding, Kangjia, et al.
Publicado: (2022)

Quantitative Evaluation System of Upper Limb Motor Function of Stroke Patients Based on Desktop Rehabilitation Robot
por: Zhang, Mingliang, et al.
Publicado: (2022)

Wearable Intelligent Machine Learning Rehabilitation Assessment for Stroke Patients Compared with Clinician Assessment
por: Guo, Liquan, et al.
Publicado: (2022)

Clinical Study of a Wearable Remote Rehabilitation Training System for Patients With Stroke: Randomized Controlled Pilot Trial
por: Guo, Liquan, et al.
Publicado: (2023)

Machine learning in diagnosis of coronary artery disease
por: Ling, Hao, et al.
Publicado: (2021)

A Compressed Sensing-Based Wearable Sensor Network for Quantitative Assessment of Stroke Patients
por: Yu, Lei, et al.
Publicado: (2016)

Characterization of T Lymphocytes in Chronic Obstructive Pulmonary Disease
por: Barnes, Peter J, et al.
Publicado: (2004)

New Perspectives on Chronic Obstructive Pulmonary Disease
por: Celli, Bartolome R, et al.
Publicado: (2022)

Roles of noncoding RNAs in chronic obstructive pulmonary disease
por: Qiao, Xin, et al.
Publicado: (2023)

Blood eosinophils in chronic obstructive pulmonary disease: A potential biomarker
por: Cui, Yanan, et al.
Publicado: (2023)

16S rDNA analysis of periodontal plaque in chronic obstructive pulmonary disease and periodontitis patients
por: Wu, Xingwen, et al.
Publicado: (2017)

Animal models: An essential tool to dissect the heterogeneity of chronic obstructive pulmonary disease
por: Jiang, Jingxian, et al.
Publicado: (2023)

Advanced Chronic Obstructive Pulmonary Disease: Innovative and Integrated Management Approaches
por: Zhou, Hai-Xia, et al.
Publicado: (2015)

Telerehabilitation for Chronic Obstructive Pulmonary Disease Patients: An Underrecognized Management in Tertiary Care
por: Bairapareddy, Kalyana Chakravarthy, et al.
Publicado: (2018)

Renewed vision on pulmonary rehabilitation service delivery for chronic obstructive pulmonary disease management beyond COVID-19
por: Perumal, Shakila Devi
Publicado: (2021)

Airway Epithelial Cell Function and Respiratory Host Defense in Chronic Obstructive Pulmonary Disease
por: Amatngalim, Gimano D., et al.
Publicado: (2018)

Diagnosis and management of chronic obstructive pulmonary disease in Serbia: an expert group position statement
por: Vukoja, Marija, et al.
Publicado: (2019)

Iron-Regulated Reactive Oxygen Species Production and Programmed Cell Death in Chronic Obstructive Pulmonary Disease
por: Mizumura, Kenji, et al.
Publicado: (2021)

Skeletal Muscle Mitochondrial Dysfunction in Chronic Obstructive Pulmonary Disease: Underlying Mechanisms and Physical Therapy Perspectives
por: Wang, Yingqi, et al.
Publicado: (2023)

Blood Eosinophil Counts in Clinical Trials for Chronic Obstructive Pulmonary Disease
por: Singh, Dave, et al.
Publicado: (2020)

Reductions in inhaler greenhouse gas emissions by addressing care gaps in asthma and chronic obstructive pulmonary disease: an analysis
por: Gagné, Myriam, et al.
Publicado: (2023)

A machine learning approach to triaging patients with chronic obstructive pulmonary disease
por: Swaminathan, Sumanth, et al.
Publicado: (2017)

Comparison and development of machine learning tools for the prediction of chronic obstructive pulmonary disease in the Chinese population
por: Ma, Xia, et al.
Publicado: (2020)

Artificial Intelligence and Machine Learning in Chronic Airway Diseases: Focus on Asthma and Chronic Obstructive Pulmonary Disease
por: Feng, Yinhe, et al.
Publicado: (2021)

Machine learning and medical education
por: Kolachalama, Vijaya B., et al.
Publicado: (2018)

Perspectives in machine learning for wildlife conservation
por: Tuia, Devis, et al.
Publicado: (2022)

The Challenge to Decide between Pulmonary Hypertension Due to Chronic Lung Disease and PAH with Chronic Lung Disease
por: Olschewski, Horst
Publicado: (2021)

When Harry Met Sally, or When Machine Learning Met Chronic Obstructive Pulmonary Disease
por: Agusti, Alvar, et al.
Publicado: (2020)

Machine learning methods in the computational biology of cancer
por: Vidyasagar, M.
Publicado: (2014)

Machine learning in medicine: Addressing ethical challenges
por: Vayena, Effy, et al.
Publicado: (2018)

Transforming health policy through machine learning
por: Ashrafian, Hutan, et al.
Publicado: (2018)

Machine learning in population health: Opportunities and threats
por: Flaxman, Abraham D., et al.
Publicado: (2018)

Machine learning for a sustainable energy future
por: Yao, Zhenpeng, et al.
Publicado: (2022)

Designing and understanding light-harvesting devices with machine learning
por: Häse, Florian, et al.
Publicado: (2020)

Emerging role of machine learning in light-matter interaction
por: Zhou, Jiajia, et al.
Publicado: (2019)

Machine learning for multi-omics data integration in cancer
por: Cai, Zhaoxiang, et al.
Publicado: (2022)

Laboratory earthquake forecasting: A machine learning competition
por: Johnson, Paul A., et al.
Publicado: (2021)

Are Machine Learning Methods the Future for Smoking Cessation Apps?
por: Abo-Tabik, Maryam, et al.
Publicado: (2021)

Advances in quantitative analysis of astrocytes using machine learning
por: Labate, Demetrio, et al.
Publicado: (2022)

Addressing racial disparities in surgical care with machine learning
por: Halamka, John, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_o1b8vv6cohq7mfmq79lr9neo3m