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The American Journal of Managed Care1h
AI Matches Physician Accuracy in Insulin Dosing for T2D
Artificial intelligence (AI) can enhance insulin dosing accuracy for hospitalized patients with type 2 diabetes (T2D), ...
Machine learning algorithm brings long-read sequencing to the clinic
Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve ...
AI-driven model supports safer and more precise blood sugar management after heart surgery
Researchers at the Icahn School of Medicine at Mount Sinai have developed a machine learning tool that can help doctors ...
The American Journal of Managed Care1d
Machine Learning Capable of Predicting Hyperlipidemia in People With HIV
People living with HIV who have taken highly active antiretroviral therapy can have hyperlipidemia predicted in advance by ...
marktechpost2mon
A Code Implementation of Monocular Depth Estimation Using Intel MiDaS Open Source Model on Google Colab with PyTorch and OpenCV
In this tutorial, we implement Intel’s MiDaS (Monocular Depth Estimation via a Multi-Scale Vision Transformer), a state-of-the-art model designed for high-quality depth prediction from ... its ...
GitHub10mon
Machine learning using synthesized patient health records
This notebook explores how to train a machine learning model to predict type 2 diabetes using synthesized ... Deploy the model as a web service and use it to make predictions. This project is part of ...
IEEE1y
Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers
In this literature, we are proposing a robust framework for diabetes prediction where the outlier rejection, filling the missing values, data standardization, feature selection, K-fold ...
Frontiers1y
Predicting diabetic kidney disease for type 2 diabetes mellitus by machine learning in the real world: a multicenter retrospective study
Methods: Clinical data on 3624 individuals with type 2 diabetes (T2DM) was gathered from January 1, 2019 to December 31, 2019 using a multi-center ... PyCaret (version 2.3.3), an open source, low-code ...
Scientific Research Publishing2y
Heart Disease Prediction Using Machine Learning Algorithms with Self-Measurable Physical Condition Indicators ()
Sex, age, smoking, hypertension, and diabetes depend ... lies in that not only did it use five machine learning algorithms to regress data on heart patients, but it also compared the contribution of ...