Computational strategies in nutrigenetics: Constructing a reference dataset of nutrition-associated genetic polymorphisms [0.03%]
营养遗传学的计算策略——构建与营养相关的基因多态性参考数据集
Giovanni Maria De Filippis,Maria Monticelli,Alessandra Pollice et al.
Giovanni Maria De Filippis et al.
Objective: This study aims to create a comprehensive dataset of human genetic polymorphisms associated with nutrition by integrating data from multiple sources, including the LitVar database, PubMed, and the GWAS catalog....
Martina Francesconi,Miriam Cangi,Silvia Tamarri et al.
Martina Francesconi et al.
Objective: Software as medical devices (SaMDs) have become part of clinical practice and the management of the development and control processes of the documentation associated with them are an integral part of many medic...
Impacts of sample weighting on transferability of risk prediction models across EHR-Linked biobanks with different recruitment strategies [0.03%]
样本权重对电子健康记录关联生物银行中不同招募策略的风险预测模型的迁移性的影响
Maxwell Salvatore,Alison M Mondul,Christopher R Friese et al.
Maxwell Salvatore et al.
Objective: To evaluate whether using poststratification weights when training risk prediction models enhances transferability when the external test cohort has a different sampling strategy, a commonly encountered scenari...
Yajie Meng,Yi Wang,Xinrong Hu et al.
Yajie Meng et al.
Drug repositioning, pivotal in current pharmaceutical development, aims to find new uses for existing drugs, offering an efficient and cost-effective path to drug discovery. In recent years, graph neural network-based deep learning methods ...
Jacob S Berkowitz,Apoorva Srinivasan,Jose Miguel Acitores Cortina et al.
Jacob S Berkowitz et al.
Objective: A large proportion of electronic health record (EHR) data consists of unstructured medical language text. The formatting of this text is often flexible and inconsistent, making it challenging to use for predict...
Machine learning applications related to suicide in military and Veterans: A scoping literature review [0.03%]
与军事人员和退伍军人自杀有关的机器学习应用：系统综述文献回顾
Yuhan Zhang,Yishu Wei,Yanshan Wang et al.
Yuhan Zhang et al.
Objective: Suicide remains one of the main preventable causes of death among service members and veterans. Early detection and accurate prediction are essential components of effective suicide prevention strategies. Machi...
A lightweight graph neural network to predict long-term mortality in coronary artery disease patients: an interpretable causality-aware approach [0.03%]
一种轻量级图神经网络预测冠心病患者的长期死亡率：一种可解释的因果关系感知方法
Mohammad Yaseliani,Md Noor-E-Alam,Osama Dasa et al.
Mohammad Yaseliani et al.
Background: Coronary artery disease (CAD) causes substantial death toll in the United States and worldwide. While traditional methods for CAD mortality prediction are based on established risk factors, they have significa...
Chao Li,Olga Petruchik,Elizaveta Grishanina et al.
Chao Li et al.
This paper presents a Multi-Agent Norm Perception and Induction Learning Model aimed at facilitating the integration of autonomous agent systems into distributed healthcare environments through dynamic interaction processes. The nature of t...
Evaluating an information theoretic approach for selecting multimodal data fusion methods [0.03%]
评估用于选择多模态数据融合方法的信息理论方法
Tengyue Zhang,Ruiwen Ding,Kha-Dinh Luong et al.
Tengyue Zhang et al.
Objective: Interest has grown in combining radiology, pathology, genomic, and clinical data to improve the accuracy of diagnostic and prognostic predictions toward precision health. However, most existing works choose the...
Knowledge-enhanced Parameter-efficient Transfer Learning with METER for medical vision-language tasks [0.03%]
基于METER的增强型参数高效迁移学习在医学视觉语言任务中的应用
Xudong Liang,Jiang Xie,Jinzhu Wei et al.
Xudong Liang et al.
Objective: The full fine-tuning paradigm becomes impractical when applying pre-trained models to downstream tasks due to significant computational and storage costs. Parameter-efficient fine-tuning (PEFT) methods can alle...