Results 61 to 70 of about 123,621 (240)
Objective To evaluate the real‐world safety and efficacy for standard surgical risk patients with extracranial internal carotid artery disease undergoing transcarotid artery revascularization. Methods ROADSTER 3 is a prospective, multicenter, single‐arm post‐approval study.
Jeffrey Jim +15 more
wiley +1 more source
This study aimed to investigate the effects of cellulase and Lactobacillus plantarum on the silage quality, in situ digestibility, and microbial communities of apple pomace silage. The combined supplementation of cellulase and Lactobacillus plantarum in apple pomace silage improved fermentation quality and enhanced rumen utilization efficiency.
Zhuangzhuang Liu +4 more
wiley +1 more source
In this paper we introduce the so-called Generalized Naive Bayes structure as an extension of the Naive Bayes structure. We give a new greedy algorithm that finds a good fitting Generalized Naive Bayes (GNB) probability distribution. We prove that this fits the data at least as well as the probability distribution determined by the classical Naive ...
Kovács, Edith Alice +3 more
openaire +2 more sources
Physically Based Predictive Modelling of Archaeological Proxies Using Cropmarks
ABSTRACT Cropmarks, as archaeological proxies, offer a valuable means of detecting buried sites through remote sensing. Yet, the scalability of such methods across varied archaeological contexts remains underexplored, and AI‐based modelling approaches are still in early stages.
Elias Gravanis, Athos Agapiou
wiley +1 more source
Toward Optimal Feature Selection in Naive Bayes for Text Categorization
Automated feature selection is important for text categorization to reduce the feature size and to speed up the learning process of classifiers. In this paper, we present a novel and efficient feature selection framework based on the Information Theory ...
He, Haibo, Kay, Steven, Tang, Bo
core +1 more source
Objective To evaluate the prognostic utility of circulating Interleukin‐18 (IL‐18) levels in predicting disease activity, macrophage activation syndrome (MAS), and disease course in Still's disease (SD) patients receiving first‐line IL‐1 inhibitors (IL‐1i).
Matteo Trevisan +8 more
wiley +1 more source
Adaptive secure malware efficient machine learning algorithm for healthcare data
Abstract Malware software now encrypts the data of Internet of Things (IoT) enabled fog nodes, preventing the victim from accessing it unless they pay a ransom to the attacker. The ransom injunction is constantly accompanied by a deadline. These days, ransomware attacks are too common on IoT healthcare devices.
Mazin Abed Mohammed +8 more
wiley +1 more source
Effect of missing value methods on Bayesian network classification of hepatitis data [PDF]
Missing value imputation methods are widely used in solving missing value problems during statistical analysis. For classification tasks, these imputation methods can affect the accuracy of the Bayesian network classifiers.
Adam, Mohd. Bakri +2 more
core
Aims In the AEGEAN study, perioperative durvalumab plus platinum‐based neoadjuvant chemotherapy for patients with resectable stage II to IIIB (N2) non‐small‐cell lung cancer (NSCLC) demonstrated a favourable benefit–risk profile. This study evaluated population pharmacokinetics (PopPK) and exposure–response (ER) relationships of durvalumab in patients ...
Xiaoying Zhao +12 more
wiley +1 more source
Appears in Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI2003)
Frank, Eibe +2 more
openaire +2 more sources

