Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Identify and Estimate Survival in a Longitudinal Cohort of Patients With Lung Cancer
Sign Up to like & getrecommendations! Published in 2021 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2021.14723
Abstract: This cohort study investigates the performance of a machine learning algorithm used to extract a cohort of patients with lung cancer from electronic health records and estimate overall survival. read more here.
Keywords: patients lung; machine learning; cohort patients; cohort ... See more keywords
Magnetic resonance imaging image analysis of the therapeutic effect and neuroprotective effect of deep brain stimulation in Parkinson's disease based on a deep learning algorithm
Sign Up to like & getrecommendations! Published in 2022 at "International Journal for Numerical Methods in Biomedical Engineering"
DOI: 10.1002/cnm.3642
Abstract: In order to study the therapeutic neuroprotective effect of deep brain stimulation (DBS) in Parkinson's disease (PD), based on the deep learning algorithm, this study combines with magnetic resonance imaging (MRI) image analysis technology to… read more here.
Keywords: learning algorithm; image analysis; deep learning; effect ... See more keywords
Towards Predicting the Evolution of Lung Tumors During Radiotherapy Observed on a Longitudinal MR Imaging Study Via a Deep Learning Algorithm.
Sign Up to like & getrecommendations! Published in 2019 at "Medical physics"
DOI: 10.1002/mp.13765
Abstract: PURPOSE To predict the spatial and temporal trajectories of lung tumor during radiotherapy monitored under a longitudinal MRI study via a deep learning algorithm for facilitating adaptive radiotherapy (ART). METHODS We monitored ten lung cancer… read more here.
Keywords: deep learning; study; study via; via deep ... See more keywords
A deep learning algorithm may automate intracranial aneurysm detection on MR angiography with high diagnostic performance
Sign Up to like & getrecommendations! Published in 2020 at "European Radiology"
DOI: 10.1007/s00330-020-06966-8
Abstract: To develop a deep learning algorithm for automated detection and localization of intracranial aneurysms on time-of-flight MR angiography and evaluate its diagnostic performance. In a retrospective and multicenter study, MR images with aneurysms based on… read more here.
Keywords: learning algorithm; diagnostic performance; deep learning; test ... See more keywords
A precise and stable machine learning algorithm: eigenvalue classification (EigenClass)
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-05343-2
Abstract: In this study, a precise and efficient eigenvalue-based machine learning algorithm, particularly denoted as Eigenvalue Classification (EigenClass) algorithm, has been presented to deal with classification problems. The EigenClass algorithm is constructed by exploiting an eigenvalue-based… read more here.
Keywords: eigenvalue classification; eigenclass; classification eigenclass; learning algorithm ... See more keywords
Quantum Neural Network with Improved Quantum Learning Algorithm
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Theoretical Physics"
DOI: 10.1007/s10773-020-04470-9
Abstract: We present a quantum BP neural network with the universality of single-qubit rotation gate and two-qubit Controlled-NOT gate. Also, we show the process of the BP learning algorithm for the quantum model, and propose an… read more here.
Keywords: quantum; network improved; quantum neural; neural network ... See more keywords
A Neural Network-Based Learning Algorithm for Intrusion Detection Systems
Sign Up to like & getrecommendations! Published in 2017 at "Wireless Personal Communications"
DOI: 10.1007/s11277-017-4663-8
Abstract: Recently, intrusion detection systems (IDS) have been introduced to effectively secure networks. Using neural networks and machine learning in detecting and classifying intrusions are powerful alternative solutions. In this research paper, both of Gradient descent… read more here.
Keywords: based learning; detection systems; neural network; intrusion detection ... See more keywords
Satellite-based PM2.5 estimation directly from reflectance at the top of the atmosphere using a machine learning algorithm
Sign Up to like & getrecommendations! Published in 2019 at "Atmospheric Environment"
DOI: 10.1016/j.atmosenv.2019.04.002
Abstract: Abstract Atmospheric particulate matter (PM) that have particle diameter less than 2.5 μm (PM2.5) are hazardous to public health whose concentration has been either measured on the ground or inferred from satellite-retrieved aerosol optical depth (AOD).… read more here.
Keywords: top atmosphere; learning algorithm; concentration; machine learning ... See more keywords
Coronary artery calcium score quantification using a deep-learning algorithm.
Sign Up to like & getrecommendations! Published in 2019 at "Clinical radiology"
DOI: 10.1016/j.crad.2019.10.012
Abstract: AIM To investigate the impact of a deep-learning algorithm on the quantification of coronary artery calcium score (CACS) and the stratification of cardiac risk. MATERIALS AND METHODS Computed tomography data of 530 patients who underwent… read more here.
Keywords: coronary artery; deep learning; artery calcium; score ... See more keywords
Microgrids islanding detection using Fourier transform and machine learning algorithm
Sign Up to like & getrecommendations! Published in 2021 at "Electric Power Systems Research"
DOI: 10.1016/j.epsr.2021.107224
Abstract: Abstract This paper proposes a methodology to identify the decision of microgrid islanding. This methodology is two stages: feature extraction and classification stages. In the feature extraction, instantaneous three phase voltage and current measurements are… read more here.
Keywords: methodology; islanding detection; learning algorithm; fourier transform ... See more keywords
Machine-learning algorithm incorporating capacitated sperm intracellular pH predicts conventional in vitro fertilization success in normospermic patients.
Sign Up to like & getrecommendations! Published in 2021 at "Fertility and sterility"
DOI: 10.1016/j.fertnstert.2020.10.038
Abstract: OBJECTIVE To measure human sperm intracellular pH (pHi) and develop a machine-learning algorithm to predict successful conventional in vitro fertilization (IVF) in normospermic patients. DESIGN Spermatozoa from 76 IVF patients were capacitated in vitro. Flow cytometry was… read more here.
Keywords: fertilization; machine learning; ivf; normospermic patients ... See more keywords