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Agorastos-Dimitrios Samaras, Maria Tsimara, Sofia Voidila, Nikolaos Papandrianos, Petros Zampakis, Serafeim Moustakidis, Elpiniki Papageorgiou and Christina Kalogeropoulou
A computer-aided diagnosis system for parathyroid disease classification can be a valuable tool for primary health care. Medical experts can utilize such tools to pinpoint unhealthy patients accurately and early, hence decongesting the National Healthcar...
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Nosa Aikodon, Sandra Ortega-Martorell and Ivan Olier
Patients in Intensive Care Units (ICU) face the threat of decompensation, a rapid decline in health associated with a high risk of death. This study focuses on creating and evaluating machine learning (ML) models to predict decompensation risk in ICU pat...
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Eugenia I. Toki, Jenny Pange, Giorgos Tatsis, Konstantinos Plachouras and Ioannis G. Tsoulos
Autism Spectrum Disorder is known to cause difficulties in social interaction and communication, as well as repetitive patterns of behavior, interests, or hobbies. These challenges can significantly affect the individual?s daily life. Therefore, it is cr...
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Susan B. Sisson, Adrien Malek-Lasater, Timothy G. Ford, Diane Horm and Kyong-Ah Kwon
The purpose of this cross-sectional study was to determine individual, sociocultural, policy, and economic predictors of overweight/obesity in early care and education (ECE) teachers to identify modifiable opportunities to enhance the health of this crit...
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Adham H. El-Sherbini, Hafeez Ul Hassan Virk, Zhen Wang, Benjamin S. Glicksberg and Chayakrit Krittanawong
Primary care has the potential to be transformed by artificial intelligence (AI) and, in particular, machine learning (ML). This review summarizes the potential of ML and its subsets in influencing two domains of primary care: pre-operative care and scre...
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Bo Mi Kwon, Hyun Haeng Lee, Min Kyun Sohn, Deog Young Kim, Yong-Il Shin, Gyung-Jae Oh, Yang-Soo Lee, Min Cheol Joo, So Young Lee, Min-Keun Song, Junhee Han, Jeonghoon Ahn, Won Hyuk Chang, Jongmin Lee and Yun-Hee Kim
The purpose of this study is to identify the factors associated with the burden on primary family caregivers of stroke patients at home without care services. For this study, the Korean Stroke Cohort for Functioning and Rehabilitation (KOSCO) data were u...
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Nethra Venkatayogi, Maanas Gupta, Alaukik Gupta, Shreya Nallaparaju, Nithya Cheemalamarri, Krithika Gilari, Shireen Pathak, Krithik Vishwanath, Carel Soney, Tanisha Bhattacharya, Nirvana Maleki, Saptarshi Purkayastha and Judy Wawira Gichoya
The utilization of ultrasound imaging for early visualization has been imperative in disease detection, especially in the first responder setting. Over the past decade, rapid advancements in the underlying technology of ultrasound have allowed for the de...
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Anke Maria Weber and Samuel Greiff
ICT technologies are an integral part of today?s digitized society. Therefore, it is important that children acquire ICT skills as part of 21st century skills education to prepare them for later life. Drawing on the literature, seven 21st century skills ...
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Elizabeth Ford, Richard Tyler, Natalie Johnston, Vicki Spencer-Hughes, Graham Evans, Jon Elsom, Anotida Madzvamuse, Jacqueline Clay, Kate Gilchrist and Melanie Rees-Roberts
Background: In the United Kingdom National Health Service (NHS), digital transformation programmes have resulted in the creation of pseudonymised linked datasets of patient-level medical records across all NHS and social care services. In the Southeast E...
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Maria Carmela Groccia, Rosita Guido, Domenico Conforti, Corrado Pelaia, Giuseppe Armentaro, Alfredo Francesco Toscani, Sofia Miceli, Elena Succurro, Marta Letizia Hribal and Angela Sciacqua
Chronic heart failure (CHF) is a clinical syndrome characterised by symptoms and signs due to structural and/or functional abnormalities of the heart. CHF confers risk for cardiovascular deterioration events which cause recurrent hospitalisations and hig...
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