Integrating clinical anxiety scales with pre-trained language models for anxiety recognition on social media [0.03%]
基于临床焦虑量表与预训练语言模型的社交媒体焦虑识别研究
Jianghong Zhu,Zhenwen Zhang,Zepeng Li et al.
Jianghong Zhu et al.
Leveraging natural language processing to identify anxiety states from social media has been widely studied. However, existing research lacks deep user-level semantic modeling and effective anxiety feature extraction. Additionally, the abse...
CF-DTI: coarse-to-fine feature extraction for enhanced drug-target interaction prediction [0.03%]
用于增强药物靶点相互作用预测的CF-DTI：自粗到细特征提取方法
Yining Qian,Qingjie Wang,Libang Yin et al.
Yining Qian et al.
Accurate prediction of drug-target interactions (DTIs) is crucial for improving the efficiency and success rate of drug development. Despite recent advancements, existing methods often fail to leverage interaction features at multiple granu...
Unraveling bladder cancer-related circRNA biomarkers: a hybrid model combining deep learning and statistics [0.03%]
基于深度学习和统计学的膀胱癌相关环状rna标志物挖掘模型构建及验证
Yulian Ding,Yi Pan,Clarence Ronald Geyer et al.
Yulian Ding et al.
Circular RNAs (circRNAs), a class of gene expression regulators with closed loop structures, have been implicated in the pathogenesis of various diseases, including bladder cancer (BC). Their stability in and presence in body fluids suggest...
Identification and applications of disease-associated differential human and bacterial proteins with metaproteomic evidence [0.03%]
基于代谢蛋白质组学的疾病相关差异人和菌蛋白鉴定及应用研究
Jamie Canderan,Moses Stamboulian,Yuzhen Ye
Jamie Canderan
The gut microbiome plays a fundamental role in human health and disease. Individual variations in the microbiome and the corresponding functional implications are key considerations to enhance precision health and medicine. Metaproteomics h...
Analyses of different prescriptions for health using artificial intelligence: a critical approach based on the international guidelines of health institutions [0.03%]
基于国际卫生机构指导方针的人工智能健康处方分析的批判性方法
Vítor Marcelo Soares Campos,Tiago Paiva Prudente,Luana Lemos Leão et al.
Vítor Marcelo Soares Campos et al.
Purpose: Large-language models (LLMs) are increasingly used for health advice, but their alignment with evidence-based guidelines and sensitivity to question phrasing remain unclear. ...
The contrastive learning method in tongue image representation learning and its significance in intelligent diagnosis [0.03%]
基于对比学习的舌象表征学习及其智能诊断意义研究
Qi Liu,Dan-Dan Xu,Peng Yang et al.
Qi Liu et al.
Objective: Tongue diagnosis is crucial in traditional Chinese medicine (TCM). As diagnoses cannot be standardized in TCM, reaching an ideal consensus when labeling TCM syndrome is difficult. This results in the introducti...
An EEG-based patient-independent epileptic seizure detection method based on domain generative adversarial network [0.03%]
基于领域生成对抗网络的患者无关癫痫发作检测方法
Yulang Feng,Tianshu Zhou,Yu Tian et al.
Yulang Feng et al.
Background: Epilepsy is a prevalent chronic neurological disorder, and electroencephalogram (EEG) is a crucial tool for its diagnosis. However, the visual inspection of long-term EEG recordings is time-consuming and labor...
An interpretable machine learning model for predicting sepsis-induced cardiomyopathy in ICU patients: development and validation using the MIMIC-IV database [0.03%]
一种可解释的机器学习模型：使用MIMIC-IV数据库开发和验证预测重症监护病房患者脓毒症性心肌病的方法
Tao Sha,Hao Jiang,Lin Bai
Tao Sha
Background: Infection-induced systemic inflammation in sepsis leads to fatal organ dysfunction, accounting for most intensive care unit (ICU) fatalities. The associated cardiac impairment, termed sepsis-induced cardiomyop...
K-cql: an arterial blood gas analysis-based deep offline reinforcement learning algorithm for mechanical ventilation treatment [0.03%]
基于动脉血气分析的深度离线强化学习通气策略优化算法(K-CQL)
Jiaying Xi,Shaojie Dong,Haoquan Zhou et al.
Jiaying Xi et al.
Mechanical ventilation is employed as a supportive therapy for patients with respiratory failure, but the optimal ventilator settings for patient are often unknown and rely on manual adjustment by physicians. Improper parameter settings may...
LDD-VTS: an AI-based framework for lung disease diagnosis using vision transformers and SHAP [0.03%]
基于AI的肺癌诊断框架LDD-VTS：使用视觉变压器和SHAP解释模型
Hossam Magdy Balaha,Rawan Ayman Ahmed,Magdy Hassan Balaha
Hossam Magdy Balaha
Lung diseases, particularly lung cancer, pose significant global health challenges, leading to high morbidity and mortality rates. Early diagnosis is crucial for improving patient outcomes, yet traditional diagnostic methods often fall shor...