Text mining and portal development for gene-specific publications on Alzheimer's disease and other neurodegenerative diseases [0.03%]
阿尔茨海默病及其他神经退行性疾病相关基因文献的文本挖掘和门户网站构建
Jiannan Liu,Huanmei Wu,Daniel H Robertson et al.
Jiannan Liu et al.
Background: Tremendous research efforts have been made in the Alzheimer's disease (AD) field to understand the disease etiology, progression and discover treatments for AD. Many mechanistic hypotheses, therapeutic targets...
Optimizing cardiovascular disease mortality prediction: a super learner approach in the tehran lipid and glucose study [0.03%]
德黑兰脂类和葡萄糖研究中心血管疾病死亡率预测的优化：超学习法
Parvaneh Darabi,Safoora Gharibzadeh,Davood Khalili et al.
Parvaneh Darabi et al.
Background & aim: Cardiovascular disease (CVD) is the most important cause of death in the world and has a potential impact on health care costs, this study aimed to evaluate the performance of machine learning survival m...
Identifying subgroups in heart failure patients with multimorbidity by clustering and network analysis [0.03%]
通过聚类和网络分析识别多病共存的心力衰竭患者的亚组
Catarina Martins,Bernardo Neves,Andreia Sofia Teixeira et al.
Catarina Martins et al.
This study presents a workflow for identifying and characterizing patients with Heart Failure (HF) and multimorbidity utilizing data from Electronic Health Records. Multimorbidity, the co-occurrence of two or more chronic conditions, poses ...
Decision support systems for antibiotic prescription in hospitals: a survey with hospital managers on factors for implementation [0.03%]
抗生素处方决策支持系统：医院管理者视角下的实施因素调查分析
Pinar Tokgöz,Stephan Krayter,Jessica Hafner et al.
Pinar Tokgöz et al.
Background: Inappropriate antimicrobial use, such as antibiotic intake in viral infections, incorrect dosing and incorrect dosing cycles, has been shown to be an important determinant of the emergence of antimicrobial res...
Early prediction of sudden cardiac death risk with Nested LSTM based on electrocardiogram sequential features [0.03%]
基于心电图序列特征的嵌套LSTM突发性心脏死亡早期预测模型
Ke Wang,Kai Zhang,Banteng Liu et al.
Ke Wang et al.
Electrocardiogram (ECG) signals are very important for heart disease diagnosis. In this paper, a novel early prediction method based on Nested Long Short-Term Memory (Nested LSTM) is developed for sudden cardiac death risk detection. First,...
Machine learning pipeline to analyze clinical and proteomics data: experiences on a prostate cancer case [0.03%]
用于分析临床和蛋白质组数据的机器学习流程——以前列腺癌为例的经验分享
Patrizia Vizza,Federica Aracri,Pietro Hiram Guzzi et al.
Patrizia Vizza et al.
Proteomic-based analysis is used to identify biomarkers in blood samples and tissues. Data produced by devices such as mass spectrometry requires platforms to identify and quantify proteins (or peptides). Clinical information can be related...
Hybrid disease prediction approach leveraging digital twin and metaverse technologies for health consumer [0.03%]
结合数字孪生和元宇宙技术的混合疾病预测方法在健康消费者中的应用研究
Chaitanya Kulkarni,Aadam Quraishi,Mohan Raparthi et al.
Chaitanya Kulkarni et al.
Emerging from the convergence of digital twin technology and the metaverse, consumer health (MCH) is witnessing a transformative shift. The amalgamation of bioinformatics with healthcare Big Data has ushered in a new era of disease predicti...
Robot-assisted surgery and artificial intelligence-based tumour diagnostics: social preferences with a representative cross-sectional survey [0.03%]
基于机器人辅助手术和人工智能肿瘤诊断的社情调查研究
Áron Hölgyesi,Zsombor Zrubka,László Gulácsi et al.
Áron Hölgyesi et al.
Background: The aim of this study was to assess social preferences for two different advanced digital health technologies and investigate the contextual dependency of the preferences. ...
Post-surgery survival and associated factors for cardiac patients in Ethiopia: applications of machine learning, semi-parametric and parametric modelling [0.03%]
埃塞俄比亚心脏病患者的术后生存率及其相关因素：机器学习、半参数和参数模型的应用
Melaku Tadege,Awoke Seyoum Tegegne,Zelalem G Dessie
Melaku Tadege
Introduction: Living in poverty, especially in low-income countries, are more affected by cardiovascular disease. Unlike the developed countries, it remains a significant cause of preventable heart disease in the Sub-Saha...
Correction: Developing an integrated clinical decision support system for the early identification and management of kidney disease-building cross-sectoral partnerships [0.03%]
关于构建跨部门合作关系以开发集成临床决策支持系统以期早期识别和管理肾脏病的纠错评论
Gillian Gorham,Asanga Abeyaratne,Sam Heard et al.
Gillian Gorham et al.