Prediction of Drug Approval After Phase I Clinical Trials in Oncology: RESOLVED2 [0.03%]
基于肿瘤学一期临床试验的药物审批预测：RESOLVED2
Guillaume Beinse,Virgile Tellier,Valentin Charvet et al.
Guillaume Beinse et al.
Purpose: Drug development in oncology currently is facing a conjunction of an increasing number of antineoplastic agents (ANAs) candidate for phase I clinical trials (P1CTs) and an important attrition rate for final appro...
Clinical Molecular Marker Testing Data Capture to Promote Precision Medicine Research Within the Cancer Research Network [0.03%]
临床分子标志物检测数据捕获促进癌症研究网络的精准医学研究
Andrea N Burnett-Hartman,Natalia Udaltsova,Lawrence H Kushi et al.
Andrea N Burnett-Hartman et al.
Purpose: To evaluate health care systems for the availability of population-level data on the frequency of use and results of clinical molecular marker tests to inform precision cancer care. ...
Open Source Infrastructure for Health Care Data Integration and Machine Learning Analyses [0.03%]
用于医疗保健数据集成和机器学习分析的开源基础设施
Veli-Matti Isoviita,Liina Salminen,Jimmy Azar et al.
Veli-Matti Isoviita et al.
Purpose: We have created a cloud-based machine learning system (CLOBNET) that is an open-source, lean infrastructure for electronic health record (EHR) data integration and is capable of extract, transform, and load (ETL)...
Enhancing Case Capture, Quality, and Completeness of Primary Melanoma Pathology Records via Natural Language Processing [0.03%]
基于自然语言处理技术提高黑色素瘤病理报告的入库率和数据质量研究
Jared C Malke,Shida Jin,Samuel P Camp et al.
Jared C Malke et al.
Purpose: Medical records contain a wealth of useful, informative data points valuable for clinical research. Most data points are stored in semistructured or unstructured legacy documents and require manual data abstracti...
Validation of a Semiautomated Natural Language Processing-Based Procedure for Meta-Analysis of Cancer Susceptibility Gene Penetrance [0.03%]
基于自然语言处理的半自动化方法在癌症易感基因外显率荟萃分析中的验证研究
Zhengyi Deng,Kanhua Yin,Yujia Bao et al.
Zhengyi Deng et al.
Purpose: Quantifying the risk of cancer associated with pathogenic mutations in germline cancer susceptibility genes-that is, penetrance-enables the personalization of preventive management strategies. Conducting a meta-a...
Meta-Analysis
JCO clinical cancer informatics. 2019 Aug:3:1-9. DOI:10.1200/CCI.19.00043 2019
Artificial Intelligence Treatment Decision Support For Complex Breast Cancer Among Oncologists With Varying Expertise [0.03%]
具备不同技能水平的肿瘤医生使用人工智能治疗复杂乳腺癌决策支持系统的研究
Fengrui Xu,Martín-José Sepúlveda,Zefei Jiang et al.
Fengrui Xu et al.
Purpose: The aim of the current study was to assess treatment concordance and adherence to National Comprehensive Cancer Network breast cancer treatment guidelines between oncologists and an artificial intelligence adviso...
Characterizing the Feasibility and Performance of Real-World Tumor Progression End Points and Their Association With Overall Survival in a Large Advanced Non-Small-Cell Lung Cancer Data Set [0.03%]
基于真实世界肿瘤进展终点的可行性及性能研究及其与大量晚期非小细胞肺癌数据集总生存期的关系分析
Sandra D Griffith,Rebecca A Miksad,Geoff Calkins et al.
Sandra D Griffith et al.
Purpose: Large, generalizable real-world data can enhance traditional clinical trial results. The current study evaluates reliability, clinical relevance, and large-scale feasibility for a previously documented method wit...
Mark N Levine,Gordon Alexander,Arani Sathiyapalan et al.
Mark N Levine et al.
Purpose: Clinicians need accurate and timely information on the impact of treatments on patient outcomes. The electronic health record (EHR) offers the potential for insight into real-world patient experiences and outcome...
Obtaining Knowledge in Pathology Reports Through a Natural Language Processing Approach With Classification, Named-Entity Recognition, and Relation-Extraction Heuristics [0.03%]
基于分类、命名实体识别和关系抽取的病理报告信息获取方法研究
Tomasz Oliwa,Steven B Maron,Leah M Chase et al.
Tomasz Oliwa et al.
Purpose: Robust institutional tumor banks depend on continuous sample curation or else subsequent biopsy or resection specimens are overlooked after initial enrollment. Curation automation is hindered by semistructured fr...
Validation of a Cyclic Algorithm to Proxy Number of Lines of Systemic Cancer Therapy Using Administrative Data [0.03%]
利用行政数据代理系统癌症治疗行数的循环算法验证
Deirdre Weymann,Sarah Costa,Dean A Regier
Deirdre Weymann
Purpose: Researchers are automating the process for identifying the number of lines of systemic cancer therapy received by patients. To date, algorithm development has involved manual modifications to predefined classific...