Use of Machine Learning to Identify Clinical Variables in Pregnant and Non-Pregnant Women with SARS-CoV-2 Infection [0.03%]
机器学习在妊娠及非妊娠妇女SARSCoV-2感染的临床变量中的应用分析
Itamar D Futterman,Rodney McLaren Jr,Hila Friedmann et al.
Itamar D Futterman et al.
Objective: The aim of the study is to identify the important clinical variables found in both pregnant and non-pregnant women who tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection,...
Oscar Tamburis,Arriel Benis
Oscar Tamburis
Background: One Digital Health (ODH) aims to propose a framework that merges One Health's and Digital Health's specific features into an innovative landscape. FAIR (Findable, Accessible, Interoperable, and Reusable) princ...
The Digital Analytic Patient Reviewer (DAPR) for COVID-19 Data Mart Validation [0.03%]
用于COVID-19数据集市验证的数字分析患者评审员(DAPR)
Heekyong Park,Taowei David Wang,Nich Wattanasin et al.
Heekyong Park et al.
Objective: To provide high-quality data for coronavirus disease 2019 (COVID-19) research, we validated derived COVID-19 clinical indicators and 22 associated machine learning phenotypes, in the Mass General Brigham (MGB) ...
The Leipzig Health Atlas-An Open Platform to Present, Archive, and Share Biomedical Data, Analyses, and Models Online [0.03%]
莱比锡健康图谱——一个在线展示、归档和共享生物医学数据、分析和模型的开放平台
Toralf Kirsten,Frank A Meineke,Henry Loeffler-Wirth et al.
Toralf Kirsten et al.
Background: Clinical trials, epidemiological studies, clinical registries, and other prospective research projects, together with patient care services, are main sources of data in the medical research domain. They serve ...
Self-Service Registry Log Builder: A Case Study in National Trauma Registry of Iran [0.03%]
自助注册表日志生成器：伊朗国家创伤登记处案例研究
Mansoureh Yari Eili,Safar Vafadar,Jalal Rezaeenour et al.
Mansoureh Yari Eili et al.
Background: Although the process-mining algorithms have evolved in the past decade, the lack of attention to extracting event logs from raw data of databases in an automatic manner is evident. These logs are available in ...
DxGenerator: An Improved Differential Diagnosis Generator for Primary Care Based on MetaMap and Semantic Reasoning [0.03%]
基于MetaMap和语义推理的初级诊疗差值诊断生成器 DxGenerator
Ali Sanaeifar,Saeid Eslami,Mitra Ahadi et al.
Ali Sanaeifar et al.
Background: In recent years, researchers have used many computerized interventions to reduce medical errors, the third cause of death in developed countries. One of such interventions is using differential diagnosis gener...
Medical Text Prediction and Suggestion Using Generative Pretrained Transformer Models with Dental Medical Notes [0.03%]
基于生成性预训练变换模型的医疗文本预测及建议：牙科病历中的应用研究
Joseph Sirrianni,Emre Sezgin,Daniel Claman et al.
Joseph Sirrianni et al.
Background: Generative pretrained transformer (GPT) models are one of the latest large pretrained natural language processing models that enables model training with limited datasets and reduces dependency on large datase...
Using an Ontology to Derive a Sharable and Interoperable Relational Data Model for Heterogeneous Healthcare Data and Various Applications [0.03%]
使用本体推导异构医疗数据和各种应用的可共享和互操作的关系数据模型
Christina Khnaisser,Luc Lavoie,Benoit Fraikin et al.
Christina Khnaisser et al.
Background: A large volume of heavily fragmented data is generated daily in different healthcare contexts and is stored using various structures with different semantics. This fragmentation and heterogeneity make secondar...
Reliability of Cusp Angulation Using Three-Dimensional Digital Models: A Preliminary In Vitro Study [0.03%]
三维数字模型 cuspal 倾斜角度可靠度的体外初步研究
Xinggang Liu,Xiaoxian Chen
Xinggang Liu
Background: Dental cusp angulation provides valuable insights into chewing efficiency and prosthesis safety. Artificial intelligence-enabled computing of cusp angles has potential important value, but there is currently n...
Xia Jing,Akash Indani,Nina Hubig et al.
Xia Jing et al.
Background: MetaMap is a valuable tool for processing biomedical texts to identify concepts. Although MetaMap is highly configurative, configuration decisions are not straightforward. ...