Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Toktam Khatibi"'
Autor:
Shokufeh Yaraghi, Toktam Khatibi
Publikováno v:
BMJ Open Ophthalmology, Vol 9, Iss 1 (2024)
Objective Our objective is to develop a novel keratoconus image classification system that leverages multiple pretrained models and a transformer architecture to achieve state-of-the-art performance in detecting keratoconus.Methods and analysis Three
Externí odkaz:
https://doaj.org/article/49654c358e3d4419906c858cc76acf69
Publikováno v:
Iranian Journal of Information Processing & Management, Vol 38, Iss 3, Pp 945-979 (2023)
In today's challenging world, organizational growth is not possible without the efficient use of data. Process mining uses machine learning methods and business process management concepts to extract hidden knowledge about business processes from dat
Externí odkaz:
https://doaj.org/article/1e192dc256dd42bc9e152f2f0930ce59
Publikováno v:
AI, Vol 3, Iss 2, Pp 371-389 (2022)
One-minute and five-minute Apgar scores are good measures to assess the health status of newborns. A five-minute Apgar score can predict the risk of some disorders such as asphyxia, encephalopathy, cerebral palsy and ADHD. The early prediction of Apg
Externí odkaz:
https://doaj.org/article/3f815bbda3204c60bb67e038175c7c7f
Publikováno v:
Sustainable Operations and Computers, Vol 3, Iss , Pp 303-316 (2022)
Mycobacterium tuberculosis (TB) is an infectious bacterial disease presenting similar symptoms to pneumonia. Therefore, differentiating between TB and pneumonia can be challenging for physicians and lead to delays in diagnosis and treatment. Early di
Externí odkaz:
https://doaj.org/article/777cd33ffbe549c9ad5ee025506a40ea
Autor:
Mahyar Sharifi, Toktam Khatibi, Mohammad Hassan Emamian, Somayeh Sadat, Hassan Hashemi, Akbar Fotouhi
Publikováno v:
BioData Mining, Vol 14, Iss 1, Pp 1-15 (2021)
Abstract Objectives To develop and to propose a machine learning model for predicting glaucoma and identifying its risk factors. Method Data analysis pipeline is designed for this study based on Cross-Industry Standard Process for Data Mining (CRISP-
Externí odkaz:
https://doaj.org/article/e63fc15ecaad417cb2998d9acf1430de
Publikováno v:
علوم و فنون مدیریت اطلاعات, Vol 9, Iss 3, Pp 160-103 (2023)
Purpose: Process mining connects the disciplines of data mining and machine learning to business process management techniques. A business process is a series of independent and interdependent activities that transform inputs (data, materials, etc.)
Externí odkaz:
https://doaj.org/article/f7451092f30f4670bd84ec1d9524ccfa
Publikováno v:
BMC Pregnancy and Childbirth, Vol 21, Iss 1, Pp 1-17 (2021)
Abstract Background Stillbirth is defined as fetal loss in pregnancy beyond 28 weeks by WHO. In this study, a machine-learning based method is proposed to predict stillbirth from livebirth and discriminate stillbirth before and during delivery and ra
Externí odkaz:
https://doaj.org/article/97ee6fab41e3456d951be70c817275b7
Autor:
Sima Ranjbari, Toktam Khatibi, Ahmad Vosough Dizaji, Hesamoddin Sajadi, Mehdi Totonchi, Firouzeh Ghaffari
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-29 (2021)
Abstract Background Intrauterine Insemination (IUI) outcome prediction is a challenging issue which the assisted reproductive technology (ART) practitioners are dealing with. Predicting the success or failure of IUI based on the couples' features can
Externí odkaz:
https://doaj.org/article/30939334cc9041df9bbc3d2e33bb24b7
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 19, Iss 1, Pp 1-15 (2019)
Abstract Background Kidney allocation is a multi-criteria and complex decision-making problem, which should also consider ethical issues in addition to the medical aspects. Leading countries in this field use a point scoring system to allocate kidney
Externí odkaz:
https://doaj.org/article/f09f315b837a42f6b67429401aee63d8
Publikováno v:
Journal of Health Management & Informatics, Vol 6, Iss 2, Pp 56-65 (2019)
Objective: The high prevalence of cardiovascular diseases has caused many health problems in countries. Cardiac Rehabilitation Programs (CRPs) is a complementary therapy for Percutaneous Coronary Intervention (PCI) patients. However, PCI patients har
Externí odkaz:
https://doaj.org/article/15fd7244d7f74abcb3b0bfef158c9e43