Results 61 to 70 of about 102,167 (290)

Efficacy and Safety Analysis of Roxarestat in Regulating Renal Anemia in Patients on Maintenance Hemodialysis

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Objective To compare the efficacy and safety of roxarestat versus recombinant human erythropoietin (rhEPO) in the management of renal anemia in patients undergoing maintenance hemodialysis. Methods This was a prospective, open‐label, randomized controlled trial.
Lingling Chen, Junjie Zhu, Qiaonan Ge
wiley   +1 more source

Embedded feature ranking for ensemble MLP classifiers

open access: yes, 2017
A feature ranking scheme for multilayer perceptron (MLP) ensembles is proposed, along with a stopping criterion based upon the out-of-bootstrap estimate.
Smith, R   +2 more
core   +2 more sources

Ranking Feature Importance Objectives for Explainable Classification

open access: yesIEEE Access
Recent studies on explainable machine learning models often analyse feature importance after training, but this results in a model that does not capture feature dependencies and requires extra computational resources for explainability.
Pragya Gupta   +4 more
doaj   +1 more source

An Improved Ranking-Based Feature Enhancement Approach for Robust Speaker Recognition

open access: yesIEEE Access, 2016
Although the field of automatic speaker or speech recognition has been extensively studied over the past decades, the lack of robustness has remained a major challenge.
Furong Yan   +3 more
doaj   +1 more source

A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho   +7 more
wiley   +1 more source

AutoEncoder-based feature ranking for Alzheimer Disease classification using PET image

open access: yesMachine Learning with Applications, 2021
This paper presents a method of ranking the effectiveness of brain region of interest (ROI) in order to separate Normal Control (NC) from Alzheimer’s disease (AD) brains Positron Emission Tomography (PET) images based on AutoEncoder (AE) networks ...
Pham Minh Tuan   +4 more
doaj   +1 more source

Experience With Performing Rheocarna Therapy via the Single‐Needle Method for Treatment of Chronic Limb‐Threatening Ischemia

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction This study investigated the safety and efficacy of single‐needle Rheocarna therapy for chronic limb‐threatening ischemia (CLTI) with wounds. Methods Six patients with CLTI involving ulcers unresponsive to revascularization underwent single‐needle Rheocarna treatment.
Yasutaka Yamauchi   +9 more
wiley   +1 more source

Feature ranking in hoeffding algorithms for regression [PDF]

open access: yesProceedings of the Symposium on Applied Computing, 2017
Feature selection and feature ranking are two aspects of the same learning task. They are well studied in batch scenarios, but not in the streaming setting. This paper presents a study on feature ranking from data streams in online learning regression models. The main challenge here is the relevance of features might change over time: features relevant
João Duarte, João Gama 0001
openaire   +1 more source

Transferrin receptor 1‐mediated iron uptake supports thermogenic activation in human cervical‐derived adipocytes

open access: yesFEBS Letters, EarlyView.
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai   +9 more
wiley   +1 more source

Detection of Bruxism Using Inverse Discrete Wavelet Transformed Reconstructed Band Limited EEG Signals by Group Wise Feature Ranking

open access: yesIEEE Access
Bruxism is a sleep disorder which is manifested by unintentional grinding and clenching of teeth during sleep. An automated sleep bruxism recognition system using single channel EEG data is proposed in this paper which is based on Inverse Discrete ...
Ainul Anam Shahjamal Khan   +3 more
doaj   +1 more source

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