A comprehensive review of computer-aided diagnosis of major mental and neurological disorders and suicide: a biostatistical perspective on data mining
The World Health Organization (WHO) suggests that mental disorders, neurological
disorders, and suicide are growing causes of morbidity. Depressive disorders …
disorders, and suicide are growing causes of morbidity. Depressive disorders …
Automatic classification between COVID-19 and non-COVID-19 pneumonia using symptoms, comorbidities, and laboratory findings: the Khorshid COVID Cohort Study
Coronavirus disease-2019, also known as severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2), was a disaster in 2020. Accurate and early diagnosis of coronavirus disease …
(SARS-CoV-2), was a disaster in 2020. Accurate and early diagnosis of coronavirus disease …
Reliability of machine learning methods for diagnosis and prognosis during the COVID-19 pandemic: a comprehensive critical review
Chapter 5 provides analysis of critical STARD/TRIPOD issues of more than 45 machine
learning methods for the detection of COVID-19 during the pandemic. In addition, various …
learning methods for the detection of COVID-19 during the pandemic. In addition, various …
A real-time and convex model for the estimation of muscle force from surface electromyographic signals in the upper and lower limbs
Surface electromyography (sEMG) is a signal consisting of different motor unit action
potential trains and records from the surface of the muscles. One of the applications of sEMG …
potential trains and records from the surface of the muscles. One of the applications of sEMG …
Predicting COVID-19 Hospital Stays with Kolmogorov–Gabor Polynomials: Charting the Future of Care
Optimal allocation of ward beds is crucial given the respiratory nature of COVID-19, which
necessitates urgent hospitalization for certain patients. Several governments have …
necessitates urgent hospitalization for certain patients. Several governments have …
[HTML][HTML] Prevention of Cardiometabolic Syndrome in Children and Adolescents Using Machine Learning and Noninvasive Factors: The CASPIAN-V Study
Cardiometabolic syndrome (CMS) is a growing concern in children and adolescents,
marked by obesity, hypertension, insulin resistance, and dyslipidemia. This study aimed to …
marked by obesity, hypertension, insulin resistance, and dyslipidemia. This study aimed to …
Correspondence on “electrocardiographic findings and prognostic values in patients hospitalised with COVID-19 in the world heart federation global study” by pinto …
To the Editor We read with great interest the manuscript of Pinto-Filho et al. 1 It is a
multicentre study about the prognostic values of electrocardiographic findings, where such a …
multicentre study about the prognostic values of electrocardiographic findings, where such a …
Classification of endoscopic image and video frames using distance metric-based learning with interpolated latent features
F Sedighipour Chafjiri, MR Mohebbian… - Multimedia Tools and …, 2023 - Springer
Abstract Conventional Endoscopy (CE) and Wireless Capsule Endoscopy (WCE) are well
known tools for diagnosing gastrointestinal (GI) tract related disorders. Defining the …
known tools for diagnosing gastrointestinal (GI) tract related disorders. Defining the …
Psychiatric disorders and cognitive impairment following COVID-19: a comprehensive review and its implications for smart healthcare design
T Azimi, A Koochekian, HR Marateb… - … Sensors, Volume 1 …, 2022 - iopscience.iop.org
Psychiatric disorders and cognitive impairment following COVID-19: a comprehensive review
and its implications for smart healthcare design - Book chapter - IOPscience This site uses …
and its implications for smart healthcare design - Book chapter - IOPscience This site uses …
A Hybrid Computer-Aided Diagnosis System for Central Obesity Screening in a Large Sample of Iranian Children and Adolescents
A Koochekian, M Farahi… - 2023 31st …, 2023 - ieeexplore.ieee.org
Central obesity is the basis of metabolic syndrome, which may lead to type 2 diabetes and
cardiovascular disease. Its screening is critical in childhood to prevent such problems in …
cardiovascular disease. Its screening is critical in childhood to prevent such problems in …