Text Mining in Electronic Medical Records Enables Quick and Efficient Identification of Pregnancy Cases Occurring After Breast Cancer [0.03%]
基于电子病历的文本挖掘技术可实现乳腺癌后妊娠情况的快速准确识别
Julie Labrosse,Thanh Lam,Clara Sebbag et al.
Julie Labrosse et al.
Purpose: To apply text mining (TM) technology on electronic medical records (EMRs) of patients with breast cancer (BC) to retrieve the occurrence of a pregnancy after BC diagnosis and compare its performance to manual cur...
Open-Sourced CIViC Annotation Pipeline to Identify and Annotate Clinically Relevant Variants Using Single-Molecule Molecular Inversion Probes [0.03%]
开放源代码的CIViC注释流程，使用单分子分子逆向探针鉴定和标注具有临床相关性的变异型
Erica K Barnell,Adam Waalkes,Matt C Mosior et al.
Erica K Barnell et al.
Purpose: Clinical targeted sequencing panels are important for identifying actionable variants for patients with cancer; however, existing approaches do not provide transparent and rationally designed clinical panels to a...
Noncurated Data Lead to Misinterpretation of Treatment Outcomes in Patients With Prostate Cancer After Salvage or Palliative Radiotherapy [0.03%]
非 curated 数据导致前列腺癌患者挽救性或姑息性放射治疗后解救性治疗结局误读
Sandra Rutzner,Thomas Ganslandt,Rainer Fietkau et al.
Sandra Rutzner et al.
Purpose: Clinical data warehouses (cDWHs) and cancer registry databases have enabled researchers to conduct clinical analytics with structured electronic health record data. However, these secondary electronic health reco...
Natural Language Processing Approaches to Detect the Timeline of Metastatic Recurrence of Breast Cancer [0.03%]
用于检测乳腺癌转移复发时间线的自然语言处理方法
Imon Banerjee,Selen Bozkurt,Jennifer Lee Caswell-Jin et al.
Imon Banerjee et al.
Purpose: Electronic medical records (EMRs) and population-based cancer registries contain information on cancer outcomes and treatment, yet rarely capture information on the timing of metastatic cancer recurrence, which i...
Multidisciplinary Software Design for the Routine Monitoring and Assessment of Pain in Palliative Care Services: The Development of PainCheck [0.03%]
姑息治疗中日常镇痛监测与评估的多学科软件设计：PainCheck系统研发
Matthew J Allsop,Owen Johnson,Sally Taylor et al.
Matthew J Allsop et al.
Purpose: The use of health information technology (HIT) to support patient and health professional communication is emerging as a core component of modern cancer care. Approaches to HIT development for cancer care are oft...
Clinical Data Extraction and Normalization of Cyrillic Electronic Health Records Via Deep-Learning Natural Language Processing [0.03%]
基于深度学习自然语言处理的西里尔字母电子健康记录的数据抽取与规范化研究
Boyang Zhao
Boyang Zhao
Purpose: A substantial portion of medical data is unstructured. Extracting data from unstructured text presents a barrier to advancing clinical research and improving patient care. In addition, ongoing studies have been f...
Multicenter Study
JCO clinical cancer informatics. 2019 Sep:3:1-9. DOI:10.1200/CCI.19.00057 2019
Operationalization of Next-Generation Sequencing and Decision Support for Precision Oncology [0.03%]
下一代测序在精准肿瘤学操作及决策支持中的应用
Jia Zeng,Amber Johnson,Md Abu Shufean et al.
Jia Zeng et al.
Genomic testing has become a part of routine oncology care and plays critical roles in diagnosis, prognostic assessment, and treatment selection. Thus, in parallel, the variety of genomic testing providers and sequencing platforms has grown...
Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes [0.03%]
运用机器学习和自然语言处理对癌症易感性基因医学文献进行评审及分类
Yujia Bao,Zhengyi Deng,Yan Wang et al.
Yujia Bao et al.
Purpose: The medical literature relevant to germline genetics is growing exponentially. Clinicians need tools that help to monitor and prioritize the literature to understand the clinical implications of pathogenic geneti...
Meta-Analysis
JCO clinical cancer informatics. 2019 Sep:3:1-9. DOI:10.1200/CCI.19.00042 2019
Impact of Health-Related Quality of Life and Prediagnosis Risk of Major Depressive Disorder on Treatment Choice for Stage I Lung Cancer [0.03%]
与I期肺癌治疗选择相关的健康相关生活质量及重大抑郁症发病风险的影响
Ritchell van Dams,Tristan Grogan,Percy Lee et al.
Ritchell van Dams et al.
Purpose: We hypothesized that prediagnosis depressive symptoms and patient-reported health-related quality of life (HRQOL) would be associated with treatment choice for stage I non-small-cell lung cancer (NSCLC). ...
Machine-Learning and Stochastic Tumor Growth Models for Predicting Outcomes in Patients With Advanced Non-Small-Cell Lung Cancer [0.03%]
用于预测晚期非小细胞肺癌患者预后的机器学习和随机肿瘤生长模型
Kien Wei Siah,Sean Khozin,Chi Heem Wong et al.
Kien Wei Siah et al.
Purpose: The prediction of clinical outcomes for patients with cancer is central to precision medicine and the design of clinical trials. We developed and validated machine-learning models for three important clinical end...