AIMC Topic: Diabetes Mellitus

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Research of Epidemic Big Data Based on Improved Deep Convolutional Neural Network.

Computational and mathematical methods in medicine Jul 22, 2020
In recent years, with the acceleration of the aging process and the aggravation of life pressure, the proportion of chronic epidemics has gradually increased. A large amount of medical data will be generated during the hospitalization of diabetics. I...
Diabetes Mellitus Patient Readmission Epidemics Algorithms Humans Deep Learning Neural Networks, Computer Big Data
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Leveraging Multimodal Deep Learning Architecture with Retina Lesion Information to Detect Diabetic Retinopathy.

Translational vision science & technology Jul 16, 2020
PURPOSE: To improve disease severity classification from fundus images using a hybrid architecture with symptom awareness for diabetic retinopathy (DR).
Algorithms Deep Learning Diabetes Mellitus Fundus Oculi ROC Curve Humans Diabetic Retinopathy
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A deep learning approach based on convolutional LSTM for detecting diabetes.

Computational biology and chemistry Jul 10, 2020
Diabetes is a chronic disease that occurs when the pancreas does not generate sufficient insulin or the body cannot effectively utilize the produced insulin. If it remains unidentified and untreated, then it could be very deadliest. One can lead a he...
Databases, Factual Deep Learning Diabetes Mellitus Humans
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Near-optimal insulin treatment for diabetes patients: A machine learning approach.

Artificial intelligence in medicine Jun 29, 2020
Blood glycemic control is crucial for minimizing severe side effects in diabetes mellitus. Currently, two opposing treatment approaches exist: in formulaic methods, insulin care is calculated by parameter-based computation (i.e., correction factor, i...
Diabetes Mellitus Machine Learning Insulin Hypoglycemic Agents Humans Artificial Intelligence
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Artificial Intelligence and Big Data in Diabetes Care: A Position Statement of the Italian Association of Medical Diabetologists.

Journal of medical Internet research Jun 22, 2020
Since the last decade, most of our daily activities have become digital. Digital health takes into account the ever-increasing synergy between advanced medical technologies, innovation, and digital communication. Thanks to machine learning, we are no...
Humans Precision Medicine Clinical Decision-Making Big Data Artificial Intelligence Machine Learning Physicians Association Diabetes Mellitus Italy
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Internet of things-inspired healthcare system for urine-based diabetes prediction.

Artificial intelligence in medicine Jun 15, 2020
Healthcare industry is the leading domain that has been revolutionized by the incorporation of Internet of Things (IoT) technology resulting in smart medical applications. Conspicuously, this study presents an effective system of home-centric Urine-b...
Diabetes Mellitus Internet Reproducibility of Results Male Humans Neural Networks, Computer Delivery of Health Care Female
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Assistant diagnosis with Chinese electronic medical records based on CNN and BiLSTM with phrase-level and word-level attentions.

BMC bioinformatics Jun 5, 2020
BACKGROUND: Inferring diseases related to the patient's electronic medical records (EMRs) is of great significance for assisting doctor diagnosis. Several recent prediction methods have shown that deep learning-based methods can learn the deep and co...
Software Electronic Health Records Pulmonary Disease, Chronic Obstructive China Hypertension Diabetes Mellitus Humans Neural Networks, Computer
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Application of Artificial Intelligence in Diabetes Education and Management: Present Status and Promising Prospect.

Frontiers in public health May 29, 2020
Despite the rapid development of science and technology in healthcare, diabetes remains an incurable lifelong illness. Diabetes education aiming to improve the self-management skills is an essential way to help patients enhance their metabolic contro...
Diabetes Mellitus Oncogenes Humans Artificial Intelligence Prospective Studies Quality of Life
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Forecasting tuberculosis using diabetes-related google trends data.

Pathogens and global health May 26, 2020
Online activity-based data can be used to aid infectious disease forecasting. Our aim was to exploit the converging nature of the tuberculosis (TB) and diabetes epidemics to forecast TB case numbers. Thus, we extended TB prediction models based on tr...
Forecasting Diabetes Mellitus Tuberculosis Germany Humans Epidemics Neural Networks, Computer Epidemiological Monitoring Machine Learning
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Artificial intelligence and network pharmacology based investigation of pharmacological mechanism and substance basis of Xiaokewan in treating diabetes.

Pharmacological research May 25, 2020
Xiaokewan is a typical Traditional Chinese medicine (TCM) for diabetes and contains various natural chemicals, such as lignans, flavonoids, saponins, polysaccharides, and western medicine glibenclamide. In the current study, a highly efficient system...
Drugs, Chinese Herbal Workflow Zebrafish Chromatography, High Pressure Liquid Tandem Mass Spectrometry Artificial Intelligence Data Mining Hypoglycemic Agents Blood Glucose Diabetes Mellitus Protein Interaction Maps Disease Models, Animal Systems Biology Spectrometry, Mass, Electrospray Ionization Gene Regulatory Networks Biomarkers Rats, Wistar Animals, Genetically Modified Animals Male
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