If you want to truly understand cholesterol, I highly recommend engineer Dave Feldman's pioneering work, which he shares on his websiteCholesterol Code.Dave's mission is to get to the bottom of the cholesterol story by explaining how cholesterol works in the body, why some people on low-carb...
Finally, we leveraged the global coverage of the dataset and its large sample size to develop prediction equations that estimate, for any given FPG level, the probability that a person without previously diagnosed diabetes would have HbA1c above the clinical threshold for diabetes had it been measu...
The goal of this project is to develop a system for automatically diagnosing common eye diseases using medical images. The model leverages deep learning techniques to assist in identifying diseases such as diabetic retinopathy, glaucoma, and age-related macular degeneration. Getting Started To get star...
Medical Mindray Dp-10 Portable Full Digital Ultrasound Machine for Hospital US$1,999.00-3,999.00 / Piece Home Hospital Use Diabetic Test Strips Blood Glucose Monitoring System US$36.00-40.00 / Piece Stainless Steel Dog Grooming Bath Tub Custom Size Dog Washing ...
Code availability The Pytorch codes for the DISTL used in this study is available at the following Github repository at https://doi.org/10.5281/zenodo.662325734. References Gulshan, V. et al. Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal ...
Your child will be required to pass urine sample which is tested for the presence or absence of blood, leucocytes and nitrates as well as ketones and sugar. Acute DKA or diabetic ketoacidosis can mimic mesenteric lymphadenitis in children as well as acute appendicitis and UTI. Abdominal...
Purpose To determine how kidney function identified by diagnosis codes compares to lab results-based kidney function for predicting the risk of vision-threatening diabetic retinopathy (VTDR). Methods A US medical claims database was used for this retrospective observational study. Adult patients ...
Sparse-GAN [91] has been successfully used for disease screening of Diabetic Macular Edema (DME) and Choroidal Neovascularization (CNV) datasets. It trains using only the healthy patient data and uses the anomaly activation map of the lesions to explain the detection results and achieves abnormal ...
Metabolic acidosis·Metabolic alkalosis·Respiratory acidosis·Respiratory alkalosis·Diabetic ketoacidosis·DIC (Disseminated intravascular coagulation)·Adrenal Insufficiency & Addison's Disease·Proteinuria (Albuminuria)·Alcoholism·Inflammation (any)·Inflammatory Condition·Anemia (any)·Iron Deficiency Anemia·Per...
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