Results 91 to 100 of about 6,691,518 (337)
Automatic Classification of Volcano Seismic Signatures
The prediction of volcanic eruptions and the evaluation of associated risks remain a timely and unresolved issue. This paper presents a method to automatically classify seismic events linked to volcanic activity.
M. Malfante +5 more
semanticscholar +1 more source
Biophysical characterisation shows that NanX, a membrane transport protein from the major facilitator superfamily (MFS), forms both monomers and dimers after purification. AlphaFold modelling and substrate docking provide information on residues likely involved in substrate recognition for NanX and another MFS member, NanT.
Michael C. Newton‐Vesty +13 more
wiley +1 more source
Classification Algorithms in Automatic Diagnosis of ECG Arrhythmias: A Review
ECG (Electrocardiogram), the most commonly used tool in the diagnosis of cardiac diseases, contains a large amount of physiologic information about the electrical activity of the heart.
Haibo Sun +6 more
doaj +1 more source
ABSTRACT Objective Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) has emerged as a safe and effective minimally invasive treatment for children with drug‐resistant focal epilepsy. Although evidence from real‐world studies remains limited, numerous pediatric cases have demonstrated promising outcomes. This retrospective
Weitao Chen +7 more
wiley +1 more source
Automatic multi-label subject indexing in a multilingual environment [PDF]
This paper presents an approach to automatically subject index fulltext documents with multiple labels based on binary support vector machines(SVM). The aim was to test the applicability of SVMs with a real world dataset.
Andreas Hotho +3 more
core +2 more sources
A Study on the Automatic Classification of Tweets Related to Mental Health Literacy 心理健康素養推文自動分類之研究
推特上不乏使用者貼出描述心情的各式推文,分析這些推文,可協助瞭解個體的心理狀態,對促進大眾心理健康的研究將有所助益。本研究擬對推文中關於心理健康素養方面的簡短文本,進行自動分類。使用包括傳統機器學習以及BERT、SetFit、GPT-3、 GPT-4 等人工智慧的技術,將其自動分類到五個面向中的11個題項,每個題項都有五個相關強度分數。期望在有限的人工標記的訓練資料下,機器預測的成效要到0.8以上,達到機器有效協助心理健康研究的目的。研究結果顯示使用SetFit 進行自動分類 ...
Wei-Hung Tseng +4 more
doaj +1 more source
Automatic Classification of Cancer Pathology reports written in Spanish: A Machine-Learning Approach
Pathology reports represent a rich information resource that describes cancer characteristics in a document written in a free text format. Extracting information from pathology reports is crucial to support cancer research.
Nelson-Alejandro Portilla +2 more
doaj +1 more source
Predictive Ability of Plasma p‐tau217 for β‐Amyloid Status: A Prospective Multicenter Study
ABSTRACT Objective Plasma tau phosphorylated at threonine 217 (p‐tau217) measured with fully automated platforms has shown high accuracy for Alzheimer's disease (AD) diagnosis, but real‐world multicenter data remain limited. We aimed to validate the diagnostic performance of p‐tau217 for identifying AD pathology in a real‐world multicenter cohort ...
Miquel Massons +33 more
wiley +1 more source
ABSTRACT Background Collaterals are crucial factors that influence the infarct growth rate (IGR). We aimed to determine whether a comprehensive multimodal collateral score (MCS), incorporating collateral assessment at the arterial, tissue, and venous levels, is associated with functional independence and provides incremental prognostic value over ...
Giorgio Busto +12 more
wiley +1 more source
ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou +16 more
wiley +1 more source

