An Exploratory Analysis of Real-World End Points for Assessing Outcomes Among Immunotherapy-Treated Patients With Advanced Non-Small-Cell Lung Cancer [0.03%]
免疫治疗晚期非小细胞肺癌患者的现实世界终点评估结果的探索性分析
Mark Stewart,Andrew D Norden,Nancy Dreyer et al.
Mark Stewart et al.
Purpose: This pilot study examined the ability to operationalize the collection of real-world data to explore the potential use of real-world end points extracted from data from diverse health care data organizations and ...
Practical Application of Real-World Evidence in Developing Cancer Therapies [0.03%]
真实世界证据在癌症疗法研发中的实践应用
Marjorie G Zauderer
Marjorie G Zauderer
Automating the Capture of Structured Pathology Data for Prostate Cancer Clinical Care and Research [0.03%]
前列腺癌临床护理和研究中结构化病理数据的自动采集
Anobel Y Odisho,Mark Bridge,Mitchell Webb et al.
Anobel Y Odisho et al.
Purpose: Cancer pathology findings are critical for many aspects of care but are often locked away as unstructured free text. Our objective was to develop a natural language processing (NLP) system to extract prostate pat...
Do Neural Information Extraction Algorithms Generalize Across Institutions? [0.03%]
神经信息提取算法能否在不同机构间推广应用？
Enrico Santus,Clara Li,Adam Yala et al.
Enrico Santus et al.
Purpose: Natural language processing (NLP) techniques have been adopted to reduce the curation costs of electronic health records. However, studies have questioned whether such techniques can be applied to data from previ...
Living With Neuroendocrine Tumors: Assessment of Quality of Life Through a Mobile Application [0.03%]
神经内分泌肿瘤患者的生存状况：通过手机应用程序评估生活质量
Jared R Adams,David Ray,Renee Willmon et al.
Jared R Adams et al.
Purpose: To understand the quality of life (QoL) for patients with neuroendocrine tumors (NETs) through comparison of QoL questionnaires and symptom tracking as well as journaling via the Carcinoid NETs Health Storylines ...
Jia Zeng,Md Abu Shufean,Yekaterina Khotskaya et al.
Jia Zeng et al.
Purpose: Many targeted therapies are currently available only via clinical trials. Therefore, routine precision oncology using biomarker-based assignment to drug depends on matching patients to clinical trials. A comprehe...
Organizing Online Health Content: Developing Hashtag Collections for Healthier Internet-Based People and Communities [0.03%]
组织在线健康内容：为基于互联网的人员和社区开发标签集合以促进健康状态
Matthew S Katz,Patricia F Anderson,Michael A Thompson et al.
Matthew S Katz et al.
Twitter use has increased among patients with cancer, advocates, and oncology professionals. Hashtags, a form of metadata, can be used to share content, organize health information, and create virtual communities of interest. Cancer-specifi...
Cost Effectiveness of Multigene Panel Sequencing for Patients With Advanced Non-Small-Cell Lung Cancer [0.03%]
晚期非小细胞肺癌多基因检测的性价比评估研究
Lotte Steuten,Bernardo Goulart,Neal J Meropol et al.
Lotte Steuten et al.
Purpose: Compared with single-marker genetic testing (SMGT), multigene panel sequencing (MGPS) has the potential to identify more patients with cancer who could benefit from targeted therapies, but the effects on outcome ...
Creating a Synthetic Clinical Trial: Comparative Effectiveness Analyses Using an Electronic Medical Record [0.03%]
利用电子病历进行合成临床试验的比较疗效分析
Marjorie G Zauderer,Aleksandr Grigorenko,Paul May et al.
Marjorie G Zauderer et al.
Purpose: Electronic medical records (EMRs) are a vast resource of potentially mineable data that can be used to complement and extend clinical trials. Extracting and analyzing EMR data are impeded by technical complexitie...
Conceptual Framework to Support Clinical Trial Optimization and End-to-End Enrollment Workflow [0.03%]
支持临床试验优化及全流程入组工作的概念框架
Neha M Jain,Alison Culley,Teresa Knoop et al.
Neha M Jain et al.
In this work, we present a conceptual framework to support clinical trial optimization and enrollment workflows and review the current state, limitations, and future trends in this space. This framework includes knowledge representation of ...