Yurf-Bangash-Yousafzai Augur: Proposal of Carotid Plaque Formation Predictor Among General Population by Exploration of State-Of-The-Art for Automated Machine Learning

• Published in: The American heart journal Vol. 254; p. 263
• Main Authors: Asghar, Saleha Yurf, Bangash, Ali Haider, Yousafzai, Ali Danish Khan, Abbas, Syed Mohammad Mehmood, Khawaja, Hashir Fahim, ul Badar, Ain, Baloch, Adil, Shah, Ali Haider, Ali, Aliya, Khan, Ambar Sattar, Fatima, Arshiya, Khan, Ayesha Khalid, Khan, Asjad Ullah, Yunus, Aymen, Faisal, Farhan, Jameel, Gulfam, Mushtaq, Kashaf, Bilal, Muhammad Awais, Abbasi, Maryam Naveed, Nawaz, Mehwish, Bilal, Mishal, Ashraf, Muhammad, Kamil, Musa, Khakwani, Namira Khan, Ayesha, Noor, Tariq, Oneeza, Ahmed, Osama, Mohsin, Rabia, Khalid, Sadaf, Zehra, Saiqa, Rasool, Shafquat, Shah, Syed Muhammad Qasim
• Format: Journal Article
• Language: English
• Published: Philadelphia Elsevier Inc 01.12.2022; Elsevier Limited
• Subjects: Accuracy; Algorithms; Arteriosclerosis; Artificial intelligence; Atherosclerosis; Automation; Cardiovascular diseases; Complications; Datasets; Decision trees; High density lipoprotein; Learning algorithms; Machine learning; Model accuracy; Model testing; Morbidity; Neural networks; Population (statistical); Population studies; Prediction models; Risk; Serum levels; Statistical analysis; Training

Carotid plaque, recognized as a predictor of adverse cardiovascular and cerebrovascular complications, has been explored via machine learning. With Artificial intelligence in general and machine learning in particular exhibiting superior predictive and prognosticative capabilities, when compared wit...