Results 111 to 120 of about 3,398,718 (314)
Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study
Annals 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
Seed classification with random forest models
Applications in Plant SciencesPremise To improve forest conservation monitoring, we developed a protocol to automatically count and identify the seeds of plant species with minimal resource requirements, making the process more efficient and less dependent on human operators. Methods
Josephine Elena Reek +3 more
doaj +1 more source
IDRandom-Forest: Advanced Random Forest for Real-Time Intrusion Detection
IEEE AccessIn the last decade, with the increase in cyberattacks the privacy of network traffic has become a critical issue. Currently, simple network intrusion detection techniques are inefficient in terms of time complexity and are characterized by low detection ...
Muhammad Azhar +3 more
doaj +1 more source
Ensemble random forest for tropical cyclone tracking [PDF]
Natural Hazards and Earth System SciencesEven though tropical cyclones (TCs) are well documented during the intense part of their lifecycle until they weaken, many physical and statistical properties governing them are not well captured by gridded reanalysis or simulated by Earth System Models.
P. Vaittinada Ayar +5 more
doaj +1 more source
Feature importance for random forest.
, 2020 Feature importance for random forest.
Nathan Bollig (8407656) +3 more
core +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals 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
U.S. Forest Service Report Sa 3/2/maps/pt.1
, 1979 Maps accompanying a Land and Resource Management Plan for the Salmon National Forest showing 12 alternative management plans for the forest. Roads, forest boundaries, trails, and other points of interest are drawn on the map using lines and symbols ...
United States. Forest Service.
core
Modern Management of Asymptomatic Carotid Stenosis: A Meta‐Analysis of CREST‐2, SPACE‐2, and ECST‐2
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Recent randomized trials (CREST‐2, SPACE‐2, and ECST‐2) have compared carotid revascularization (carotid endarterectomy [CEA] or carotid artery stenting [CAS]) plus contemporary medical therapy (CMT) versus CMT alone in asymptomatic carotid stenosis.
Aasim Ali +14 more
wiley +1 more source
IJCCS (Indonesian Journal of Computing and Cybernetics Systems)The field of information technology requires software, which has significant issues. Quality and reliability improvement needs damage prediction. Tree-based algorithms like Random Forest, Deep Forest, and Decision Tree offer potential in this domain ...
Muhammad Hevny Rizky +4 more
doaj +1 more source
Reserves, Injury Severity, and Outcomes in Traumatic Brain Injury: A CENTER‐TBI Observational Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Reserve refers to the brain's ability to maintain function after an injury and strongly relates to traumatic brain injury (TBI) outcomes. This study examined (1) whether associations between pre‐injury reserve proxies and outcomes differed across injury severity categories, and (2) whether the impact of injury severity varied across ...
Natascha Ekdahl +6 more
wiley +1 more source