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Shadi AlZu?bi, Mohammad Elbes, Ala Mughaid, Noor Bdair, Laith Abualigah, Agostino Forestiero and Raed Abu Zitar
Diabetes is a metabolic disorder in which the body is unable to properly regulate blood sugar levels. It can occur when the body does not produce enough insulin or when cells become resistant to insulin?s effects. There are two main types of diabetes, Ty...
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Anna Locatelli, Sara Ornaghi, Alessandra Terzaghi, Valeria Belleudi, Filomena Fortinguerra, Francesca Romana Poggi, Serena Perna, Francesco Trotta and MoM-Net Group
Pregestational and gestational diabetes mellitus are relevant complications of pregnancy, and antidiabetic drugs are prescribed to obtain glycemic control and improve perinatal outcomes. The objective of this study was to describe the prescription patter...
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Md. Jamal Uddin, Md. Martuza Ahamad, Md. Nesarul Hoque, Md. Abul Ala Walid, Sakifa Aktar, Naif Alotaibi, Salem A. Alyami, Muhammad Ashad Kabir and Mohammad Ali Moni
Diabetes is a chronic disease caused by a persistently high blood sugar level, causing other chronic diseases, including cardiovascular, kidney, eye, and nerve damage. Prompt detection plays a vital role in reducing the risk and severity associated with ...
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Andi Nur Rachman,Supratman Supratman,Euis Nur Fitriani Dewi
Pág. 315 - 324
Penyakit Diabetes Mellitus merupakan penyakit tidak menular, tetapi penyakit ini merupakan salah satu penyakit yang mematikan bagi yang mengidapnya. Penyakit ini disebabkan oleh beberapa factor diantaranya pola makan hidup yang tidak teratur atau b...
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Andi Nur Rachman,Supratman Supratman,Euis Nur Fitriani Dewi
Pág. 315 - 324
Penyakit Diabetes Mellitus merupakan penyakit tidak menular, tetapi penyakit ini merupakan salah satu penyakit yang mematikan bagi yang mengidapnya. Penyakit ini disebabkan oleh beberapa factor diantaranya pola makan hidup yang tidak teratur atau b...
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Se-Yeon Kim, Ji-Soo Kim, Min-Ji Byon, Hyun Kyung Kang and Jin-Bom Kim
We aimed to investigate the effects of sleep duration on impaired fasting glucose and diabetes in Korean adults with periodontal disease. This cross-sectional study was performed using data for 10,465 subjects aged >19 years who completed the periodontal...
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Marisa A. Nunes, Kristýna Kucerová, Ondrej Lukác, Milan Kvapil and Jan Bro?
Background: The aim of this study was to estimate the prevalence of diabetes mellitus in the Roma population and compare it to the prevalence in the Caucasian population. Methods: Using the words “Roma”, “Gypsies”, “Romani&r...
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Melissa L. Walls, Kelley J. Sittner, Benjamin D. Aronson, Angie K. Forsberg, Les B. Whitbeck and Mustafa Al?Absi
American Indian (AI) communities experience disproportionate exposure to stressors and health inequities including type 2 diabetes. Yet, we know little about the role of psychosocial stressors for AI diabetes-related health outcomes. We investigated asso...
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Richard W.Seidel, Kimberlee A. Pardo, Paul A.Estabrooks, WenYou, Sarah S. Wall, Brenda M.Davy and Fabio A.Almeida
Objective: The purpose of this study was to identify patient preferences for different components of a local diabetes prevention program that would improve reach.A secondary purpose was to determine if patient characteristics were related to program pref...
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Shujun Fan, Zhenxiang Xue, Jun Yuan, Ziyan Zhou, Yuzhong Wang, Zhicong Yang, Boyi Yang, Guanghui Dong and Zhoubin Zhang
Greenness exposure is nominated as a potential beneficial factor for health, but evidence is limited on its diabetes effects. We conducted a cross-sectional study between May and September 2016 in rural areas of northwestern China, including 4670 Uyghur ...
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Yufri Isnaini Rochmat Maulana, Tessy Badriyah, Iwan Syarif
Pág. 151 - 167
Diabetes is a very serious chronic. Diabetes can occurs when the pancreas doesn't produce enough insulin (a hormone used to regulate blood sugar), cause glucose in the blood to be high. The purpose of this study is to provide a different approach in deal...
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Leon Kopitar, Iztok Fister, Jr. and Gregor Stiglic
Introduction: Type 2 diabetes mellitus is a major global health concern, but interpreting machine learning models for diagnosis remains challenging. This study investigates combining association rule mining with advanced natural language processing to im...
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Md. Mohibbullah, So-Jung Park, Jae-Suk Choi and Sae-Kwang Ku
Obesity is implicated as a factor in several serious metabolic conditions, including hypertension, cardiovascular disease, and type II diabetes. This study aimed at the development of more potent and safer alternative medications to address these metabol...
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Victoria Pulido-Escribano, Bárbara Torrecillas-Baena, Gabriel Dorado, María Ángeles Gálvez-Moreno, Marta Camacho-Cardenosa and Antonio Casado-Díaz
Hard-to-heal chronic wounds associated with aging and high-prevalence pathologies, such as diabetes, are a global health problem. Therefore, it is necessary to advance effective treatments to accelerate wound healing. Among these potential treatments are...
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Rafiya Sohail, Yousaf Saeed, Abid Ali, Reem Alkanhel, Harun Jamil, Ammar Muthanna and Habib Akbar
Diabetes is a chronic disease that is escalating day by day and requires 24/7 continuous management. It may cause many complications, precisely when a patient moves, which may risk their and other drivers? and pedestrians? lives. Recent research shows di...
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Se Yun Jeong, Kwang Ho Lee, Jae Kwan Kim, Dohee Ahn, Hyemin Kim, Sang J. Chung, Sun-Young Yoon and Ki Hyun Kim
Ginkgo biloba L. (Ginkgoacea) contains an abundance of beneficial compounds and has demonstrated positive clinical effects in the management of metabolic syndrome. Recent studies have emphasized its efficacy against type 2 diabetes mellitus (T2DM), inclu...
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Aryatara Shakya, Matthew Dodson, Janick F. Artiola, Monica Ramirez-Andreotta, Robert A. Root, Xinxin Ding, Jon Chorover and Raina M. Maier
Arsenic is ubiquitous in soil and water environments and is consistently at the top of the Agency for Toxic Substances Disease Registry (ATSDR) substance priority list. It has been shown to induce toxicity even at low levels of exposure. One of the major...
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Ashokkumar Palanivinayagam and Robertas Dama?evicius
The existence of missing values reduces the amount of knowledge learned by the machine learning models in the training stage thus affecting the classification accuracy negatively. To address this challenge, we introduce the use of Support Vector Machine ...
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Alessia Paglialonga, Rebecca Theal, Bruce Knox, Robert Kyba, David Barber, Aziz Guergachi and Karim Keshavjee
The aim of this study was to design a virtual peer-to-peer intervention for patients with type 2 diabetes (T2D) by grouping patients from specific segments using data from primary care electronic medical records (EMRs). Two opposing segments were identif...
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Alireza Tavakolian, Alireza Rezaee, Farshid Hajati and Shahadat Uddin
Hospital readmission and length-of-stay predictions provide information on how to manage hospital bed capacity and the number of required staff, especially during pandemics. We present a hybrid deep model called the Genetic Algorithm-Optimized Convolutio...
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