Standardizing free-text data exemplified by two fields from the Immune Epitope Database [0.03%]
通过免疫表位数据库中的两个示例字段实现文本数据标准化
Sebastian Duesing,Jason Bennett,James A Overton et al.
Sebastian Duesing et al.
Background: While unstructured data, such as free text, constitutes a large amount of publicly available biomedical data, it is underutilized in automated analyses due to the difficulty of extracting meaning from it. Norm...
Artificial Intelligence for early detection of lung cancer in General Practitioners' clinical notes [0.03%]
人工智能在全科医生临床记录中早期检测肺癌的应用
Martijn C Schut,Torec T Luik,Iacopo Vagliano et al.
Martijn C Schut et al.
Diagnoses were validated in the Dutch Cancer registration, and structured and free text data were used to predict diagnosis of lung cancer five months before diagnosis (four months before referral).
Standardizing Free-Text Data Exemplified by Age and Data-Location Fields in the Immune Epitope Database [0.03%]
以免疫表位数据库中的年龄和数据位置字段为例对自由文本进行标准化处理
Sebastian Duesing,Jason Bennett,James A Overton et al.
Sebastian Duesing et al.
Background: While unstructured data, such as free text, constitutes a large amount of publicly available biomedical data, it is underutilized in automated analyses due to the difficulty of extracting meaning from it. Norm...
Patients' and health professionals' research priorities for chronic pain associated with inflammatory bowel disease: a co-produced sequential mixed methods Delphi consensus study [0.03%]
炎症性肠病相关慢性疼痛患者的科研优先事项：与卫生专业人士协同制定的序贯混合研究方法德尔菲共识研究
Morris Gordon,Vassiliki Sinopoulou,Roxana Mardare et al.
Morris Gordon et al.
Transcripts were combined with the free text data from the Delphi surveys and analysed through a three-phase qualitative technique.
Understanding resilience: Lifestyle-based behavioral predictors of mental health and well-being in community-dwelling older adults during the COVID-19 pandemic [0.03%]
理解韧性：社区居住老年人在COVID-19大流行期间基于生活方式的行为的心理健康和幸福感的预测因子
Mikael Anne Greenwood-Hickman,Lily N Shapiro,Shirley Chen et al.
Mikael Anne Greenwood-Hickman et al.
We additionally qualitatively coded free text data from the mid-pandemic survey for related comments.
What affects implementation of the UK major trauma rehabilitation prescription? A survey informed by the behaviour change wheel [0.03%]
英国重大创伤康复计划实施的影响因素：基于行为改变轮的调查研究
Jade Kettlewell,Kate Radford,Stephen Timmons et al.
Jade Kettlewell et al.
Thematic analysis of free text data informed by the BCW/TDF identified further facilitators and barriers, plus potential behaviour change strategies.
De-identification of free text data containing personal health information: a scoping review of reviews [0.03%]
包含个人健康信息的自由文本数据的去识别化：综述的范围审查
Bekelu Negash,Alan Katz,Christine J Neilson et al.
Bekelu Negash et al.
There are established procedures for de-identifying structured data, but de-identifying clinical notes, electronic health records, and other records that include free text data is more complex. Several different ways to achieve this are documented in the literature....Eighteen publications describing methods of de-identification of free text data met the inclusion criteria for our review....Conclusion: Our review identifies and categorises de-identification methods for free text data as rule-based methods, machine learning, deep learning and a combination of these and other approaches....Our review also highlights how de-identification systems for free text data have evolved over time and points to hybrid approaches as the most promising approach for the future.
Advanced Sampling Technique in Radiology Free-Text Data for Efficiently Building Text Mining Models by Deep Learning in Vertebral Fracture [0.03%]
放射学自由文本数据中高级抽样技术的有效建立深度学习的文本挖掘模型在椎体骨折中的应用
Wei-Chieh Hung,Yih-Lon Lin,Chi-Wei Lin et al.
Wei-Chieh Hung et al.
This study aims to establish advanced sampling methods in free-text data for efficiently building semantic text mining models using deep learning, such as identifying vertebral compression fracture (VCF) in radiology reports. We enrolled a ...
Identifying features of risk periods for suicide attempts using document frequency and language use in electronic health records [0.03%]
使用电子健康记录中的文档频率和语言使用识别自杀企图的风险期特征
Rina Dutta,George Gkotsis,Sumithra U Velupillai et al.
Rina Dutta et al.
Objectives: To determine whether the time window proximal to a hospitalised suicide attempt can be discriminated from a distal period of lower risk by analysing the documentation and mental health clinical free text data from EHRs and (i) investigate whether the rate at which EHR documents
User feedback on the NHS test & Trace Service during COVID-19: The use of machine learning to analyse free-text data from 37,914 England adults [0.03%]
新冠肺炎期间英格兰成年人对NHS疫情追踪服务的反馈意见：利用机器学习分析37914名成人免费短信数据的方法
P Bondaronek,T Papakonstantinou,C Stefanidou et al.
P Bondaronek et al.
Objectives: The UK government's approach to the pandemic relies on a test, trace and isolate strategy, mainly implemented via the digital NHS Test & Trace Service. Feedback on user experience is central to the successful ...
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