A spatial neighborhood methodology for computing and analyzing lymph node carcinoma similarity in precision medicine [0.03%]
精准医学中用于计算和分析淋巴结癌相似性的空间邻域方法
T Luciani,A Wentzel,B Elgohari et al.
T Luciani et al.
Precision medicine seeks to tailor therapy to the individual patient, based on statistical correlates from patients who are similar to the one under consideration. These correlates can and should go beyond genetics, and in general, beyond t...
Prediction and pattern analysis of medication refill adherence through electronic health records and dispensation data [0.03%]
基于电子健康记录和处方数据的用药依从性预测及模式分析
Alexander Galozy,Slawomir Nowaczyk
Alexander Galozy
Background and purpose: Low adherence to medication in chronic disease patients leads to increased morbidity, mortality, and healthcare costs. The widespread adoption of electronic prescription and dispensation records al...
Converting and expanding mobile support tools for tuberculosis treatment support: Design recommendations from domain and design experts [0.03%]
基于领域和设计专家建议的转化和拓展手机支持工具以促进结核病治疗：设计推荐意见
Sarah J Iribarren,Jessica Wallingford,Rebecca Schnall et al.
Sarah J Iribarren et al.
Background: Tuberculosis (TB) remains one of the top ten causes of death globally despite it being largely treatable. Poor adherence to treatment directly contributes to poor outcomes, such as, prolonged infectivity and t...
A natural language processing pipeline to advance the use of Twitter data for digital epidemiology of adverse pregnancy outcomes [0.03%]
一种自然语言处理流水线，可促进Twitter数据在不良妊娠结局数字流行病学中的应用
Ari Z Klein,Haitao Cai,Davy Weissenbacher et al.
Ari Z Klein et al.
Background: In the United States, 17% of pregnancies end in fetal loss: miscarriage or stillbirth. Preterm birth affects 10% of live births in the United States and is the leading cause of neonatal death globally. Preterm...
Use of mixed reality for surgery planning: Assessment and development workflow [0.03%]
混合现实手术规划的评估与开发工作流程研究
Rahul Prasanna Kumar,Egidijus Pelanis,Robin Bugge et al.
Rahul Prasanna Kumar et al.
Meticulous preoperative planning is an important part of any surgery to achieve high levels of precision and avoid complications. Conventional medical 2D images and their corresponding three-dimensional (3D) reconstructions are the main com...
A novel tool for standardizing clinical data in a semantically rich model [0.03%]
一种在语义丰富的模型中标准化临床数据的新工具
Hayden G Freedman,Heather Williams,Mark A Miller et al.
Hayden G Freedman et al.
Standardizing clinical information in a semantically rich data model is useful for promoting interoperability and facilitating high quality research. Semantic Web technologies such as Resource Description Framework can be utilized to their ...
Edward H Shortliffe,Mor Peleg
Edward H Shortliffe
Supervised line attention for tumor attribute classification from pathology reports: Higher performance with less data [0.03%]
有监督的线注意力肿瘤属性分类病理报告：使用更少的数据实现更高的性能
Nicholas Altieri,Briton Park,Mara Olson et al.
Nicholas Altieri et al.
Objective: We aim to build an accurate machine learning-based system for classifying tumor attributes from cancer pathology reports in the presence of a small amount of annotated data, motivated by the expensive and time-...
Longitudinal K-means approaches to clustering and analyzing EHR opioid use trajectories for clinical subtypes [0.03%]
基于EHR的纵向K均值聚类方法：用于临床亚型阿片类药物使用轨迹的分析
Sarah Mullin,Jaroslaw Zola,Robert Lee et al.
Sarah Mullin et al.
Identification of patient subtypes from retrospective Electronic Health Record (EHR) data is fraught with inherent modeling issues, such as missing data and variable length time intervals, and the results obtained are highly dependent on da...
BioPREP: Deep learning-based predicate classification with SemMedDB [0.03%]
基于深度学习的BioPREP：具有SemMedDB的谓词分类方法
Gibong Hong,Yuheun Kim,YeonJung Choi et al.
Gibong Hong et al.
When it comes to inferring relations between entities in biomedical texts, Relation Extraction (RE) has become key to biomedical information extraction. Although previous studies focused on using rule-based and machine learning-based approa...