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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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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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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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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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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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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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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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Mukul Kumar, Deepika Kaushik, Jasjit Kaur, Charalampos Proestos, Fatih Oz, Emel Oz, Prerna Gupta, Priyanka Kundu, Anmol Kaur, Anisha Anisha and Ritika Ritika
Obesity is arising as a global pandemic throughout the world. Over the past few decades, obesity has tripled worldwide, creating an alarming situation. The majority of people nowadays are suffering from obesity and overweight. It affects health of people...
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Ming-Yen Lin, Jia-Sin Liu, Tzu-Yang Huang, Ping-Hsun Wu, Yi-Wen Chiu, Yihuang Kang, Chih-Cheng Hsu, Shang-Jyh Hwang and Hsing Luh
(1) Background: A disease prediction model derived from real-world data is an important tool for managing type 2 diabetes mellitus (T2D). However, an appropriate prediction model for the Asian T2D population has not yet been developed. Hence, this study ...
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