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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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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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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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Juliane Pfeil, Julienne Siptroth, Heike Pospisil, Marcus Frohme, Frank T. Hufert, Olga Moskalenko, Murad Yateem and Alina Nechyporenko
Microbiomic analysis of human gut samples is a beneficial tool to examine the general well-being and various health conditions. The balance of the intestinal flora is important to prevent chronic gut infections and adiposity, as well as pathological alte...
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Maria de Nazareth de Lima Carneiro, Daniela Lopes Gomes, Arthur Andrade da Fonseca and Rachel Coelho Ripardo
The mothers of children with a specific clinical situation such as type 1 diabetes mellitus may have a higher level of stress, causing a worse perception of their quality of life, greater anxiety, and greater avoidance (adult attachment factors). The obj...
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Cristian Rios-Escalante, Silvia Albán-Fernández, Rubén Espinoza-Rojas, Lorena Saavedra-Garcia, Noël C. Barengo and Jamee Guerra Valencia
The escalating prevalence of overall and abdominal obesity, particularly affecting Latin America, underscores the urgent need for accessible and cost-effective predictive methods to address the growing disease burden. This study assessed skinfold thickne...
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Lisa Ariellah Ward, Gulzar H. Shah, Jeffery A. Jones, Linda Kimsey and Hani Samawi
This paper examines the efficacy of telemedicine (TM) technology compared to traditional face-to-face (F2F) visits as an alternative healthcare delivery service for managing diabetes in populations residing in urban medically underserved areas (UMUPAs). ...
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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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Edgar Acuna, Roxana Aparicio and Velcy Palomino
In this paper we investigate the effect of two preprocessing techniques, data imputation and smoothing, in the prediction of blood glucose level in type 1 diabetes patients, using a novel deep learning model called Transformer. We train three models: XGB...
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