15. Decision tree is a which type of machine learning algorithm? Semi-supervised Machine learning Unsupervised Machine learning Supervised Machine learning Reinforcement Machine learning Answer:C) Supervised Machine learning Explanation: A decision tree is a supervised machine-learning algorithm. ...
Machine Learning Algorithm in Predicting Non-Diabetic Kidney Disease in Type 2 Diabetes Mellitus: Development and Validation of a Noninvasive Predictor Scoring Modeldoi:10.1681/ASN.20233411S192bVamsidhar VeerankiNarayan PrasadJeyakumar Meyyappan
Validation on the external dataset confirmed its robustness with an AUC of 0.745. This study establish an approach based on machine learning algorithm in features selection and the development of prediction tools for diabetic macroangiopathy.Nature Publishing Group UKScientific ReportsNingjie Zhanghttps:/...
Through the results, machine learning methods showed competence in predicting risk of T2DM, leading to greater insights on disease risk factors with no priori assumption of causality. Similar content being viewed by others An enhanced machine learning algorithm for type 2 diabetes prognosis with a ...
The aim of this paper is to discuss the class of leap-frog-type neural learning algorithms having the unitary group of matrices as parameter space. In the discussed framework, each step of a learning algorithm computes as an unconstrained learning step followed by a projection step. The present...
Prior to training the machine learning algorithms, all ICD-9 codes were converted to ICD-10 codes. Only the presence or absence of the ICD codes (and not the temporal sequence of ICD codes) were included as features for training the machine learning algorithm. ...
To address this challenge, the paper proposes a fused type-2 fuzzy deep neural network (FT2FDNN) which integrates the brain signal processing approach by a general type-2 fuzzy reasoning algorithm with the flavor of the image/video processing approach using a deep convolutional neural network. ...
To generate fixed-point C/C++ code for the predict function of a machine learning model, use generateLearnerDataTypeFcn, saveLearnerForCoder, loadLearnerForCoder, and codegen (MATLAB Coder). After training a machine learning model, save the model using saveLearnerForCoder. Create a structure that...
Adding Typescript implementation of the tiktoken algorithm. (#8) May 12, 2023 CODE_OF_CONDUCT.md CODE_OF_CONDUCT.md committed Mar 28, 2023 CONTRIBUTING.md docs: update CONTRIBUTING.md (#51) Jul 19, 2024 LICENSE LICENSE committed Mar 28, 2023 ...
Each method represents a traditional machine-learning algorithm such as Scmap-cell is based on KNN, SingleCellNet is based on Random Forest and scVI and MARS are deep learning-based methods. Among them, our method consistently outperformed these tools in identifying rare cell types, while ...