Reevaluating Corticosteroid Classification Models in Patient Patch Testing.
Sign Up to like & getrecommendations! Published in 2022 at "JAMA dermatology"
DOI: 10.1001/jamadermatol.2022.3774
Abstract: Importance Individuals with allergic contact dermatitis to one topical corticosteroid may also react to other corticosteroids. Corticosteroid classification models have been proposed to predict such copositivity, recommend representative screening corticosteroids, and guide allergen avoidance. Objective… read more here.
Keywords: classification models; positivity; patch test; copositivity ... See more keywords
Radiomics‐based classification models for HBV‐related cirrhotic patients with covert hepatic encephalopathy
Sign Up to like & getrecommendations! Published in 2020 at "Brain and Behavior"
DOI: 10.1002/brb3.1970
Abstract: The significant abnormalities of precuneus (PC), which are associated with brain dysfunction, have been identified in cirrhotic patients with covert hepatic encephalopathy (CHE). The present study aimed to apply radiomics analysis to identify the significant… read more here.
Keywords: cirrhotic patients; covert hepatic; hepatic encephalopathy; patients covert ... See more keywords
Adversarial attacks on text classification models using layer‐wise relevance propagation
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22260
Abstract: Due to the nested nonlinear structure inside neural networks, most existing deep learning models are treated as black boxes, and they are highly vulnerable to adversarial attacks. On the one hand, adversarial examples shed light… read more here.
Keywords: layer wise; text classification; adversarial attacks; classification models ... See more keywords
Comparing the performance of flat and hierarchical Habitat/Land-Cover classification models in a NATURA 2000 site
Sign Up to like & getrecommendations! Published in 2018 at "Isprs Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2017.12.002
Abstract: Abstract The increasing need for high quality Habitat/Land-Cover (H/LC) maps has triggered considerable research into novel machine-learning based classification models. In many cases, H/LC classes follow pre‐defined hierarchical classification schemes (e.g., CORINE), in which fine… read more here.
Keywords: classification; habitat; model; classification models ... See more keywords
Development of Classification Models for Assessment of Endotracheal Intubation Training by a Cyber-Physical System
Sign Up to like & getrecommendations! Published in 2019 at "Procedia Manufacturing"
DOI: 10.1016/j.promfg.2020.01.372
Abstract: Abstract Endotracheal intubation (ETI) is one of the most staple skills in prehospital medicine that is performed to prevent suffocation of an unconscious person. To evaluate ETI skills of medical practitioners, an effective and reliable… read more here.
Keywords: physical system; system; endotracheal intubation; cyber physical ... See more keywords
QSAR Classification Models for Prediction of Hydroxamate Histone Deacetylase Inhibitor Activity against Malaria Parasites.
Sign Up to like & getrecommendations! Published in 2022 at "ACS infectious diseases"
DOI: 10.1021/acsinfecdis.1c00355
Abstract: Malaria, caused by Plasmodium parasites, results in >400,000 deaths annually. There is no effective vaccine, and new drugs with novel modes of action are needed because of increasing parasite resistance to current antimalarials. Histone deacetylases… read more here.
Keywords: classification models; histone; models prediction; activity ... See more keywords
ReG-Rules: An Explainable Rule-Based Ensemble Learner for Classification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3062763
Abstract: The learning of classification models to predict class labels of new and previously unseen data instances is one of the most essential tasks in data mining. A popular approach to classification is ensemble learning, where… read more here.
Keywords: classification models; classification; reg rules; rule based ... See more keywords
Adversarial Attacks on Time Series
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2020.2986319
Abstract: Time series classification models have been garnering significant importance in the research community. However, not much research has been done on generating adversarial samples for these models. These adversarial samples can become a security concern.… read more here.
Keywords: series classification; time; time series; classification models ... See more keywords
Comparative analysis of multiple classification models to improve PM10 prediction performance
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Electrical and Computer Engineering"
DOI: 10.11591/ijece.v11i3.pp2500-2507
Abstract: With the increasing requirement of high accuracy for particulate matter prediction, various attempts have been made to improve prediction accuracy by applying machine learning algorithms. However, the characteristics of particulate matter and the problem of… read more here.
Keywords: multiple classification; performance; classification models; prediction ... See more keywords
Improved Wald Statistics for Item-Level Model Comparison in Diagnostic Classification Models
Sign Up to like & getrecommendations! Published in 2019 at "Applied Psychological Measurement"
DOI: 10.1177/0146621618798664
Abstract: Diagnostic classification models (DCMs) have been widely used in education, psychology, and many other disciplines. To select the most appropriate DCM for each item, the Wald test has been recommended. However, prior research has revealed… read more here.
Keywords: test; level model; classification models; diagnostic classification ... See more keywords
Applying Negative Binomial Distribution in Diagnostic Classification Models for Analyzing Count Data
Sign Up to like & getrecommendations! Published in 2022 at "Applied Psychological Measurement"
DOI: 10.1177/01466216221124604
Abstract: Diagnostic classification models (DCMs) have been used to classify examinees into groups based on their possession status of a set of latent traits. In addition to traditional item-based scoring approaches, examinees may be scored based… read more here.
Keywords: classification models; binomial distribution; negative binomial; count ... See more keywords