Results 51 to 60 of about 40,963 (207)
Data Mining, Weka Decision Trees
Nowadays, computer technologies are increasing rapidly. Thanks to the development of computer technologies, large and complex raw data sets can be transformed into useful information with different analysis techniques. Different algorithms developed thanks to computer technologies can offer different solutions to scientists and users working in ...
Zekeriya Duran +2 more
openaire +2 more sources
ABSTRACT Objectives This study aimed to identify high‐risk factors for type 2 diabetes and develop a machine learning (ML)–based diabetes prediction model using nursing notes from home health care. Design Retrospective cohort study. Sample A total 7896 medical records from 1747 patients aged ≥ 20 years who received home health care at a university ...
Doyeon LIM +3 more
wiley +1 more source
Gentianella calcis subsp. waipara Glenny & Molloy (Gentianaceae) is endemic to limestone formations in North Canterbury, New Zealand. A previous conservation genetics study of G. calcis Glenny & Molloy and another eastern South Island limestone endemic species, G. astonii (Petrie) T.N.Ho & S.W.Liu, showed that G. calcis subsp.
Robb W. Eastman‐Densem +3 more
wiley +1 more source
Breast cancer is a significant threat because it is the most frequently diagnosed form of cancer and one of the leading causes of mortality among women.
Gennady Chuiko, Denys Honcharov
doaj +1 more source
Decision Tree to Guide Chronic Kidney Disease Patients at Incipient Stage
Background: The etiologies of kidney disease are sequential and interlinked. They are known as disease markers. The Decision Tree representing initial symptoms needs to be popularized to seek prophylactic measures and educate the community health workers.
Krupanidhi SREERAMA
doaj
Predicting Slope Stability Failure through Machine Learning Paradigms
In this study, we employed various machine learning-based techniques in predicting factor of safety against slope failures. Different regression methods namely, multi-layer perceptron (MLP), Gaussian process regression (GPR), multiple linear regression ...
Dieu Tien Bui +4 more
doaj +1 more source
Word Sense Disambiguation by Web Mining for Word Co-occurrence Probabilities [PDF]
This paper describes the National Research Council (NRC) Word Sense Disambiguation (WSD) system, as applied to the English Lexical Sample (ELS) task in Senseval-3.
Turney, Peter D.
core +2 more sources
Egg yolk hydrolysate shows moderate impact on osteoporosis in ovariectomized rats
Abstract BACKGROUND This study investigated the protective effect of egg yolk hydrolysate (FC) on osteoporosis in ovariectomized (OVX) rats, a well‐established model of postmenopausal bone loss. OVX rats were fed diets supplemented with 0.2% or 1% FC for 13 weeks.
Ilekuttige Priyan Shanura Fernando +4 more
wiley +1 more source
PUMAA: Establishing a protocol for utilizing machine learning in forensic anthropological analyses
Abstract The use of machine learning (ML) models in forensic anthropology (FA) has increased in the last half decade; however, there is a lack of a standardized protocol on how to curate, use, and assess ML models. We introduce PUMAA (A Protocol for Utilizing Machine Learning in Forensic Anthropological Analyses), which includes a flowchart and a ...
Eman Faisal, Tracy L. Rogers
wiley +1 more source
Potential New Records of Mites in Australia Based on Citizen Science (Acariformes, Parasitiformes)
ABSTRACT This paper reports on 10 species, 10 genera and 1 family of mites that are recorded in the iNaturalist database but otherwise not recorded from Australia. They include five species of plant parasites in the family Eriophyidae that may be economically important pests.
Bruce Halliday
wiley +1 more source

