Results 111 to 120 of about 6,176,379 (373)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source
Arthritis Care &Research, EarlyView.Objective This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the Worldwide Collaboration ...
Myrthe A. van den Berg +26 more
wiley +1 more source
Arthritis Care &Research, EarlyView.Objective The aim of this study was to investigate the cost‐effectiveness of low‐dose colchicine prophylaxis for preventing gout flares when starting allopurinol using the “start‐low go‐slow” approach. Methods Participants with gout, fulfilling the American College of Rheumatology recommendations for starting urate‐lowering therapy and with serum urate
Yana Pryymachenko +4 more
wiley +1 more source
Improving the Heading Accuracy in Indoor Pedestrian Navigation Based on a Decision Tree and Kalman Filter [PDF]
, 2020 Guanghui Hu +3 more
openalex +1 more source
Arthritis Care &Research, EarlyView.Objective The objective was to identify factors determining acute arthritis resolution and safety with colchicine and prednisone in acute calcium pyrophosphate (CPP) crystal arthritis. Methods We conducted a post hoc analysis of the COLCHICORT trial, which compared colchicine and prednisone for the treatment of acute CPP crystal arthritis, using a ...
Tristan Pascart +14 more
wiley +1 more source
Prediction of Frost Occurrences Using Statistical Modeling Approaches
Advances in Meteorology, 2016 We developed the frost prediction models in spring in Korea using logistic regression and decision tree techniques. Hit Rate (HR), Probability of Detection (POD), and False Alarm Rate (FAR) from both models were calculated and compared.
Hyojin Lee +3 more
doaj +1 more source
Predictive Analytics in Business Analytics: Decision Tree
Advances in Decision Sciences, 2022 semanticscholar +1 more source
A short-term photovoltaic power prediction model based on the gradient boost decision tree
, 2018 Due to the development of photovoltaic (PV) technology and the support from governments across the world, the conversion efficiency of solar energy has been improved.
Jidong Wang +4 more
semanticscholar +1 more source
Predicting Student Performance in Higher Education Institutions Using Decision Tree Analysis
Int. J. Interact. Multim. Artif. Intell., 2018 The overall success of educational institutions can be measured by the success of its students. Providing factors that increase success rate and reduce the failure of students is profoundly helpful to educational organizations.
Alaa Khalaf Hamoud +2 more
semanticscholar +1 more source
Arthritis Care &Research, Accepted Article.Objectives Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies. To help patients and providers in the decision‐making process, we developed
Anahita Deboo +19 more
wiley +1 more source