Results 131 to 140 of about 228,932 (402)

HYPE: A High Performing NLP System for Automatically Detecting Hypoglycemia Events from Electronic Health Record Notes [PDF]

arXiv, 2018
Hypoglycemia is common and potentially dangerous among those treated for diabetes. Electronic health records (EHRs) are important resources for hypoglycemia surveillance. In this study, we report the development and evaluation of deep learning-based natural language processing systems to automatically detect hypoglycemia events from the EHR narratives.
arxiv  

Longitudinal evaluation of cognitive functioning in young children with type 1 diabetes over 18 months [PDF]

, 2016
OBJECTIVE: Decrements in cognitive function may already be evident in young children with type 1 diabetes (T1D). Here we report prospectively acquired cognitive results over 18 months in a large cohort of young children with and without T1D. METHODS: 144
Ambrosino, Jodie, Aye, Tandy, Beck, Roy W, Cato, M. Allison, Cheng, Peiyao, Hershey, Tamara, Kollman, Craig, Mauras, Nelly, Mazaika, Paul, Reiss, Allan L, Ruedy, Katrina J, Tansey, Michael, White, Neil H   +12 more
core   +2 more sources

Effects of Severe Hypoglycemia on Cardiovascular Outcomes and Death in the Veterans Affairs Diabetes Trial

Diabetes Care, 2018
OBJECTIVE To determine the risk factors for severe hypoglycemia and the association between severe hypoglycemia and serious cardiovascular adverse events and cardiovascular and all-cause mortality in the Veterans Affairs Diabetes Trial (VADT).
S. Davis, W. Duckworth, N. Emanuele, R. Hayward, Wyndy Wiitala, Lizy Thottapurathu, D. Reda, P. Reaven   +7 more
semanticscholar   +1 more source

Deep Learning‐Coupled Metabolic Heat Integrated Sensing System for Noninvasive Continuous Monitoring of Blood Glucose

Advanced Intelligent Systems, EarlyView.
A portable, wearable device based on metabolic heat integrated sensing and deep learning enables continuous blood glucose (BG) monitoring. The system uses a gate recurrent unit model for real‐time BG prediction, achieving accuracy comparable to commercial noninvasive meters.
Haolin Wang, Chuanjie Yao, Zhibo Liu, Xinze Wang, Zhengjie Liu, Tao Zhang, Xinshuo Huang, LinGe Wang, Yuedan Wang, Gemin Xiao, Shady Farah, Hui‐jiuan Chen, Xi Xie   +12 more
wiley   +1 more source

Synergistic moisturizing activity and antioxidant activity between crude polysaccharides and flavonoids in discarded stem of Trollius chinensis bunge

Engineering Reports, Volume 5, Issue 1, January 2023., 2023
The mixture of polysaccharides and flavonoids from TCS in a certain mass ratio showed a better synergy, which provided necessary clues for the further application and development of the main active substances of the nasturtium stem with applications in the food industry. Potential as edible film, edible packaging material. Abstract In this article, the
Saimin Zhang, Qiwei Guo, Yu Xin, Qixuan Li, Yang Liu   +4 more
wiley   +1 more source

Evaluation of Hypoglycemia and Associated Factors among Patients with Type 1 Diabetes on Follow-Up Care at St. Paul’s Hospital Millennium Medical College, Addis Ababa, Ethiopia

Journal of Diabetes Research, 2019
Background. Hypoglycemia is one of the most common acute complications of type 1 diabetes mellitus (T1DM). The knowledge of the factors associated with hypoglycemia will help in the prevention and management of the problem.
Halefom Kahsay, Bereket Fantahun, Teshome Nedi, Gebre Teklemariam Demoz   +3 more
doaj   +1 more source

Hypoglycemia, Cardiovascular Outcomes, and Death: The LEADER Experience

Diabetes Care, 2018
OBJECTIVE In the Liraglutide Effect and Action in Diabetes: Evaluation of Cardiovascular Outcome Results (LEADER) cardiovascular (CV) outcomes trial (NCT01179048), liraglutide significantly reduced the risk of CV events (by 13%) and hypoglycemia versus ...
B. Zinman, S. Marso, E. Christiansen, S. Calanna, S. Rasmussen, J. Buse   +5 more
semanticscholar   +1 more source

Artificial Intelligence‐Enhanced, Closed‐Loop Wearable Systems Toward Next‐Generation Diabetes Management

Advanced Intelligent Systems, EarlyView.
Recent advancements in wearable healthcare have brought accessible continuous glucose monitoring systems (CGMs) for diabetes management. To address the limitations of CGMs, closed‐loop systems utilizing monitored glucose levels for insulin dosing are being developed.
Wei Huang, Ivo Pang, Jing Bai, Binbin Cui, Xiaojuan Qi, Shiming Zhang   +5 more
wiley   +1 more source

A Simple Photometer as a Helping Device in Measuring Blood Glucose [PDF]

, 2014
Measurement of non-invasive blood glucose is one way to increase the frequency of self-monitoring of blood glucose (SMBG). For NIR reflectance spectroscopy, its application in non-invasive constrained by high value of standard error of prediction.
Ibrahim, A. S. (Anwar), Prafiantini, E. (Erfi), Priyanto, D. (Dendi), Riyanto, S. A. (Subari), Suprapto, A. P. (Akmal), Tedjo, A. (Aryo)   +5 more
core  

Switching from Flash Glucose Monitoring to Continuous Glucose Monitoring on Hypoglycemia in Adults with Type 1 Diabetes at High Hypoglycemia Risk: The Extension Phase of the I HART CGM Study

Diabetes Technology & Therapeutics, 2018
Background: The I HART CGM study showed that real-time continuous glucose monitoring (RT-CGM) has greater beneficial impact on hypoglycemia than intermittent flash glucose monitoring (flash) in adults with type 1 diabetes (T1D) at high risk.
M. Reddy, N. Jugnee, S. Anantharaja, N. Oliver   +3 more
semanticscholar   +1 more source