Zobrazeno 1 - 10
of 1 734
pro vyhledávání: '"Sheikh, Mohammed A."'
Autor:
Islam, Sheikh Mohammed Shariful, Abrar, Moloud, Tegegne, Teketo, Loranjo, Liliana, Karmakar, Chandan, Awal, Md Abdul, Hossain, Md. Shahadat, Kabir, Muhammad Ashad, Mahmud, Mufti, Khosravi, Abbas, Siopis, George, Moses, Jeban C, Maddison, Ralph
Machine learning models have the potential to identify cardiovascular diseases (CVDs) early and accurately in primary healthcare settings, which is crucial for delivering timely treatment and management. Although population-based CVD risk models have
Externí odkaz:
http://arxiv.org/abs/2407.16721
Autor:
Bazargani, Yasin Sadeghi, Mirzaei, Majid, Sobhi, Navid, Abdollahi, Mirsaeed, Jafarizadeh, Ali, Pedrammehr, Siamak, Alizadehsani, Roohallah, Tan, Ru San, Islam, Sheikh Mohammed Shariful, Acharya, U. Rajendra
Diabetes mellitus (DM) predisposes patients to vascular complications. Retinal images and vasculature reflect the body's micro- and macrovascular health. They can be used to diagnose DM complications, including diabetic retinopathy (DR), neuropathy,
Externí odkaz:
http://arxiv.org/abs/2402.18600
Autor:
Younas Umer, Ameen Mafia, Perviaz Muhammad, Shahzadi Gulshan, Fatima Arene, Ali Faisal, Ahmad Ikram, Saeed Zohaib, Ashraf Adnan, Aldossari Samar A., Sheikh Mohammed, La Moonwoo, Park Sung Jea
Publikováno v:
Nanotechnology Reviews, Vol 13, Iss 1, Pp 661-73 (2024)
Externí odkaz:
https://doaj.org/article/8e6d1886cf9b476a98b146d7645fff1d
Autor:
Muhammad Aziz Rahman, Pritimoy Das, Louisa Lam, Sheikh M. Alif, Farhana Sultana, Masudus Salehin, Biswajit Banik, Bindu Joseph, Parul Parul, Andrew Lewis, Dixie Statham, Joanne Porter, Kim Foster, Sheikh Mohammed Shariful Islam, Wendy Cross, Alycia Jacob, Susan Hua, Qun Wang, Sek Ying Chair, Wai Tong Chien, Sri Widati, Ira Nurmala, Ni Nyoman Tri Puspaningsih, Majeda Hammoud, Khatijah Omar, Muhammad Abi Sofian Abdul Halim, Mohammed Gamal-Eltrabily, Georgina Ortiz, Turkiya Saleh Al Maskari, Salwa Saleh Mohammed Al Alawi, Badriya Saleh Al-Rahbi, Judie Arulappan, Akhlaq Ahmad, Nahed Al Laham, Ilias Mahmud, Ibrahim Alasqah, Habib Noorbhai, Shao-Liang Chang, Yi-Lung Chen, Mehmet Fatih Comlekci, Oguz Basol, Basema Saddik, Rick Hayman, Remco Polman
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-29 (2024)
Abstract Background The ongoing global crisis of Higher Education (HE) institutions during the post-COVID-19 pandemic period has increased the likelihood of enduring psychological stressors for staff. This study aimed to identify factors associated w
Externí odkaz:
https://doaj.org/article/052923b682bb474ea14189fc6bae9df8
Autor:
Hidetoshi Shimizu, Michael A. Tortorici, Yoshiyasu Ohta, Kei Ogawa, Sheikh Mohammed Ashfaq Rahman, Aya Fujii, Yuki Hiraga, Mizue Kawai, Kanami Sugimoto‐Kawabata, Mattheus (Thijs) vanIersel, Jan Jaap vanLier, Stephen Djedjos, B. T. Slingsby, David M. Rodman
Publikováno v:
Clinical and Translational Science, Vol 17, Iss 8, Pp n/a-n/a (2024)
Abstract Dysregulation of the mineralocorticoid hormone aldosterone is an increasingly prevalent cause of hypertension. Aldosterone synthase (CYP11B2) shares 93% homology to 11β‐hydroxylase (CYP11B1), which produces cortisol. Lorundrostat, a highl
Externí odkaz:
https://doaj.org/article/c92800d2ef6c453baa9149dda089faef
Autor:
Samad, Sabiha, Ahmed, Fahmida, Naher, Samsun, Kabir, Muhammad Ashad, Das, Anik, Amin, Sumaiya, Islam, Sheikh Mohammed Shariful
Publikováno v:
Intelligent Systems with Applications, Volume 15, September 2022, 200103
The advancement of artificial intelligence (AI) and the significant growth in the use of food consumption tracking and recommendation-related apps in the app stores have created a need for an evaluation system, as minimal information is available abo
Externí odkaz:
http://arxiv.org/abs/2208.02490
Autor:
Md. Mehedi Hassan, Rezuana Haque, Sheikh Mohammed Shariful Islam, Hossam Meshref, Roobaea Alroobaea, Mehedi Masud, Anupam Kumar Bairagi
Publikováno v:
AIMS Bioengineering, Vol 11, Iss 1, Pp 85-109 (2024)
This study presented a new approach to seizure classification utilizing electroencephalogram (EEG) data. We introduced the NeuroWave-Net, an innovative hybrid model that seamlessly integrates convolutional neural networks (CNN) and long short-term me
Externí odkaz:
https://doaj.org/article/88d3b5b205a044a1ae1b51c2b1109f9e
Publikováno v:
ESC Heart Failure, Vol 11, Iss 1, Pp 378-389 (2024)
Abstract Aims Heart failure is a serious condition that often goes undiagnosed in primary care due to the lack of reliable diagnostic tools and the similarity of its symptoms with other diseases. Non‐invasive monitoring of heart rate variability (H
Externí odkaz:
https://doaj.org/article/32bf92693d284df68d37a0eef3d7999b
Autor:
Reza Daryabeygi-Khotbehsara, David W. Dunstan, Sheikh Mohammed Shariful Islam, Ryan E. Rhodes, Sahar Hojjatinia, Mohamed Abdelrazek, Eric Hekler, Brittany Markides, Ralph Maddison
Publikováno v:
Digital Health, Vol 10 (2024)
Objective Theoretical frameworks are essential for understanding behaviour change, yet their current use is inadequate to capture the complexity of human behaviour such as physical activity. Real-time and big data analytics can assist in the developm
Externí odkaz:
https://doaj.org/article/83f0ff36418d4ac9bd3ebfe95a1e9861
Autonomous checkout systems rely on visual and sensory inputs to carry out fine-grained scene understanding in retail environments. Retail environments present unique challenges compared to typical indoor scenes owing to the vast number of densely pa
Externí odkaz:
http://arxiv.org/abs/2202.02418