Cargando…

A Machine Learning Model for Detection of Coronary Artery Disease Using Noninvasive Clinical Parameters

Background and Objective: Coronary artery disease (CAD) is one of the most prevalent causes of death worldwide. The early diagnosis and timely medical care of cardiovascular patients can greatly prevent death and reduce the cost of treatments associated with CAD. In this study, we attempt to prepare...

Descripción completa

Detalles Bibliográficos
Autores principales:	Sayadi, Mohammadjavad, Varadarajan, Vijayakumar, Sadoughi, Farahnaz, Chopannejad, Sara, Langarizadeh, Mostafa
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9698583/ https://www.ncbi.nlm.nih.gov/pubmed/36431068 http://dx.doi.org/10.3390/life12111933

Ejemplares similares

Design and evaluation of an educational mobile program for liver transplant patients
por: Langarizadeh, Mostafa, et al.
Publicado: (2023)

A machine learning approach to personalized dose adjustment of lamotrigine using noninvasive clinical parameters
por: Zhu, Xiuqing, et al.
Publicado: (2021)

An Expert System to Diagnose Pneumonia Using Fuzzy Logic
por: Arani, Leila Akramian, et al.
Publicado: (2019)

Detection of Coronary Artery Disease by an Erectile Dysfunction Questionnaire
por: Sayadi, Mehrab, et al.
Publicado: (2021)

Detection of coronary artery disease by reduced features and extreme learning machine
por: SINGH, RAM SEWAK, et al.
Publicado: (2018)

Identifying and validating the educational needs to develop a Celiac Self-Care System
por: Langarizadeh, Mostafa, et al.
Publicado: (2023)

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

Is there a gender difference in noninvasive coronary imaging? Multislice computed tomography for noninvasive detection of coronary stenoses
por: Dewey, Marc, et al.
Publicado: (2008)

A Copmarative Review of Electronic Prescription Systems: Lessons Learned from Developed Countries
por: Samadbeik, Mahnaz, et al.
Publicado: (2017)

A machine learning model for non-invasive detection of atherosclerotic coronary artery aneurysm
por: Rostam-Alilou, Ali A., et al.
Publicado: (2022)

Machine Learning Predictive Models for Coronary Artery Disease
por: Muhammad, L. J., et al.
Publicado: (2021)

Provision of the minimum dataset of asthma for electronic health record
por: Sadoughi, Farahnaz, et al.
Publicado: (2018)

Application of Canonical Correlation Analysis for Detecting Risk Factors Leading to Recurrence of Breast Cancer
por: Sadoughi, Farahnaz, et al.
Publicado: (2016)

Noninvasive Assessment of Coronary Artery Disease in Women: What’s Next?
por: Phillips, Lawrence M., et al.
Publicado: (2010)

Noninvasive cardiac imaging for the diagnosis of coronary artery disease in women
por: Kıraç, F. Suna
Publicado: (2015)

Noninvasive Testing for Diagnosis of Stable Coronary Artery Disease in the Elderly
por: Kozlov, Sergey G., et al.
Publicado: (2020)

Applying data mining techniques to determine important parameters in chronic kidney disease and the relations of these parameters to each other
por: Tahmasebian, Shahram, et al.
Publicado: (2016)

Self Esteem and Organizational Commitment Among Health Information Management Staff in Tertiary Care Hospitals in Tehran
por: Sadoughi, Farahnaz, et al.
Publicado: (2015)

Information security risk management for computerized health information systems in hospitals: a case study of Iran
por: Zarei, Javad, et al.
Publicado: (2016)

Unsupervised machine learning based on clinical factors for the detection of coronary artery atherosclerosis in type 2 diabetes mellitus
por: Jiang, Yu, et al.
Publicado: (2022)

Machine learning-enhanced echocardiography for screening coronary artery disease
por: Guo, Ying, et al.
Publicado: (2023)

Applications of machine learning for coronary artery bypass grafting: correspondence
por: Zabihi, Mohammad Reza, et al.
Publicado: (2023)

Towards a Comprehensive Quality Evaluation Model for Hospital Websites
por: Farrahi, Razieh, et al.
Publicado: (2018)

A Single Wavelength Mid-Infrared Photoacoustic Spectroscopy for Noninvasive Glucose Detection Using Machine Learning
por: Aloraynan, Abdulrahman, et al.
Publicado: (2022)

Conservatively Treated Incidental Aneurysm of the Distal Left Main Coronary Artery: Detection by Coronary Angiography and Noninvasive Followup Using Coronary Computed Tomography Angiography
por: Hofmann, Nina P., et al.
Publicado: (2012)

Noninvasive FFR derived from coronary CT angiography in the management of coronary artery disease: technology and clinical update
por: Nakanishi, Rine, et al.
Publicado: (2016)

Transesophageal Echocardiographic Detection of Thoracic Aortic Plaque Could Noninvasively Predict Significant Obstructive Coronary Artery Disease
por: Kim, Hee-Yeol, et al.
Publicado: (1999)

Machine Learning Approach for Cardiovascular Risk and Coronary Artery Calcification Score
por: Aditya, C. R., et al.
Publicado: (2022)

Use of machine learning to identify risk factors for coronary artery disease
por: Huang, Alexander A., et al.
Publicado: (2023)

Value of myocardial deformation parameters for detecting significant coronary artery disease
por: Rumbinaite, Egle, et al.
Publicado: (2022)

Machine learning and deep learning to predict mortality in patients with spontaneous coronary artery dissection
por: Krittanawong, Chayakrit, et al.
Publicado: (2021)

Noninvasive estimation of aortic hemodynamics and cardiac contractility using machine learning
por: Bikia, Vasiliki, et al.
Publicado: (2020)

Application of machine learning in the diagnosis of gastric cancer based on noninvasive characteristics
por: Zhu, Shuang-Li, et al.
Publicado: (2020)

Predictive value of machine learning algorithm of coronary artery calcium score and clinical factors for obstructive coronary artery disease in hypertensive patients
por: Wang, Minxian, et al.
Publicado: (2023)

Machine Learning-Based Peripheral Artery Disease Identification Using Laboratory-Based Gait Data
por: Al-Ramini, Ali, et al.
Publicado: (2022)

Modeling of Outpatient Prescribing Process in Iran: A Gateway Toward Electronic Prescribing System
por: Ahmadi, Maryam, et al.
Publicado: (2014)

A Comparative Study of the Proposed Models for the Components of the National Health Information System
por: Ahmadi, Maryam, et al.
Publicado: (2014)

Utilization of open source electronic health record around the world: A systematic review
por: Aminpour, Farzaneh, et al.
Publicado: (2014)

Towards the Application of Open Source Software in Developing National Electronic Health Record-Narrative Review Article
por: AMINPOUR, Farzaneh, et al.
Publicado: (2013)

Diabetes Knowledge Translation Status in Developing Countries: A Mixed Method Study Among Diabetes Researchers in Case of Iran
por: Valinejadi, Ali, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_ht0b01l62pp5hdg9kidlatc6aq