Results 41 to 50 of about 38,464 (255)

The impact of leukocyte‐associated RNA retention on platelet RNA‐based cancer detection

open access: yesMolecular Oncology, EarlyView.
Platelets carry RNA signals that may help detect cancer, but platelet samples can also retain RNA from white blood cells. We found that this retained white blood cell signal did not significantly affect machine learning cancer classification, suggesting that the cancer‐related RNA signal in platelets is largely independent of leukocyte‐associated RNA ...
Michał Sieczczyński   +12 more
wiley   +1 more source

Application of XGBoost Algorithm in Fingerprinting Localisation Task

open access: yes, 2017
An Indoor Positioning System (IPS) issues regression and classification challenges in form of an horizontal localisation and a floor detection. We propose to apply the XGBoost algorithm for both tasks. The algorithm uses vectors of Received Signal Strengths from Wi–Fi access points to map the obtained fingerprints into horizontal coordinates and a ...
Marcin Luckner   +2 more
openaire   +1 more source

Detection of Parkinson’s Disease Using XGBOOST Algorithm

open access: yesInternational Journal for Research in Applied Science and Engineering Technology, 2022
Abstract: PREDICTING PARKINSON’S DISEASE using XGBOOST ALGORITHM. In this project we will be using python to build a model using which we can accurately detect the presence of Parkinson’s disease in one’s body. XGBOOST algorithm is a technique for regression and classification problems. It produces a prediction model in form of a decision tree. Data is
Sanika Narayanpethkar   +3 more
openaire   +1 more source

A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi   +17 more
wiley   +1 more source

Study on real-time prediction and warning technology for negative acceleration flight test of civil airplanes

open access: yesXibei Gongye Daxue Xuebao
The flight test of modern civil aircraft verifies the limits of aircraft design performance through a series of rigorous flight tests. Flight test mission is characterized by high risk and complex technology.
MI Yi   +4 more
doaj   +1 more source

Examination and evaluation of multi-source monthly scale fusion precipitation product in China based on machine learning algorithm

open access: yes暴雨灾害, 2023
Grid format precipitation products have better spatial monitoring capabilities compared to ground meteorological station observations, but there are significant differences in performance among different products.
Xuan YANG   +3 more
doaj   +1 more source

Thalamo‐Lesional Connectivity Signatures of Bilateral Tonic–Clonic Seizures in Focal Cortical Dysplasia‐Related Epilepsy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie   +8 more
wiley   +1 more source

Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Novel composite inflammatory markers' role in stroke prognosis is understudied, and the best predictor is unclear, requiring further exploration. Objectives This study aimed to systematically evaluate the associations of 6 novel composite inflammatory markers on stroke prognosis.
Bing Wu   +7 more
wiley   +1 more source

Research on error estimation model of smart electricity meter based on ITSO-XGBoost algorithm

open access: yesDiance yu yibiao
Traditional methods have limitations such as difficulty in adapting to complex and changeable environments, poor sensitivity and high complexity when dealing with practical problems.
JIN Yao
doaj   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif   +17 more
wiley   +1 more source

Home - About - Disclaimer - Privacy