Deep-Transfer-Learning-Based Natural Language Processing of Serial Free-Text Computed Tomography Reports for Predicting Survival of Patients With Pancreatic Cancer [0.03%]
基于深度迁移学习的自然语言处理：对胰腺癌患者连续文本型CT报告进行生存预测
Sunkyu Kim,Seung-Seob Kim,Eejung Kim et al.
Sunkyu Kim et al.
Purpose: To explore the predictive potential of serial computed tomography (CT) radiology reports for pancreatic cancer survival using natural language processing (NLP). ...
Evaluation of Real-World Tumor Response Derived From Electronic Health Record Data Sources: A Feasibility Analysis in Patients With Metastatic Non-Small Cell Lung Cancer Treated With Chemotherapy [0.03%]
基于电子健康记录数据源评估真实世界肿瘤反应：化疗治疗转移性非小细胞肺癌患者的可行性分析
Brittany A McKelvey,Elizabeth Garrett-Mayer,Donna R Rivera et al.
Brittany A McKelvey et al.
Purpose: Real-world data (RWD) holds promise for ascribing a real-world (rw) outcome to a drug intervention; however, ascertaining rw-response to treatment from RWD can be challenging. Friends of Cancer Research formed a ...
Development and Validation of a Natural Language Processing Algorithm for Extracting Clinical and Pathological Features of Breast Cancer From Pathology Reports [0.03%]
一种从病理报告中提取乳腺癌临床和病理特征的自然语言处理算法的开发与验证
Elisabetta Munzone,Antonio Marra,Federico Comotto et al.
Elisabetta Munzone et al.
Purpose: Electronic health records (EHRs) are valuable information repositories that offer insights for enhancing clinical research on breast cancer (BC) using real-world data. The objective of this study was to develop a...
Clinical Calculator for Predicting Freedom From Recurrence After Resection of Stage I-III Colon Cancer in Patients With Microsatellite Instability [0.03%]
微卫星不稳定患者的临床计算器预测I-III期结肠癌手术后无病生存率
Ayyuce Begum Bektas,Lynn Hakki,Asama Khan et al.
Ayyuce Begum Bektas et al.
Purpose: Outcome for patients with nonmetastatic, microsatellite instability (MSI) colon cancer is favorable: however, high-risk cohorts exist. This study was aimed at developing and validating a nomogram model to predict...
Natural Language Processing Accurately Differentiates Cancer Symptom Information in Electronic Health Record Narratives [0.03%]
基于电子健康记录的文字叙述准确地区分癌症症状信息的自然语言处理研究
Alaa Albashayreh,Anindita Bandyopadhyay,Nahid Zeinali et al.
Alaa Albashayreh et al.
Purpose: Identifying cancer symptoms in electronic health record (EHR) narratives is feasible with natural language processing (NLP). However, more efficient NLP systems are needed to detect various symptoms and distingui...
Emergence of Digital Toxicity and the Need for an Integrated, Patient-Centric Approach to the Development, Evaluation, and Use of Digital Health Tools for Oncology [0.03%]
数字毒性现象的出现及针对肿瘤学数字化健康工具开发、评估和使用的整合型以患者为中心的方法的需求
Chris Gibbons,Carole Baas,Caroline Chung
Chris Gibbons
Insights Into the Patient Experience of Hormone Therapy for Early Breast Cancer Treatment Using Patient Forum Discussions and Natural Language Processing [0.03%]
基于患者论坛讨论和自然语言处理的激素治疗早期乳腺癌患者的体验研究
Sameet Sreenivasan,Chao Fang,Emuella M Flood et al.
Sameet Sreenivasan et al.
Purpose: Understanding the real-world experience of patients with early breast cancer (eBC) is imperative for optimizing outcomes and evolving patient care. However, there is a lack of patient-level data, hindering clinic...
Cureit: An End-to-End Pipeline for Implementing Mixture Cure Models With an Application to Liposarcoma Data [0.03%]
基于腹膜后脂肪肉瘤的混合治愈模型端到端实现方法研究
Karissa Whiting,Teng Fei,Samuel Singer et al.
Karissa Whiting et al.
Purpose: Cure models are a useful alternative to Cox proportional hazards models in oncology studies when there is a subpopulation of patients who will not experience the event of interest. Although software is available ...
Classification and Regression Trees to Predict for Survival for Patients With Hepatocellular Carcinoma Treated With Atezolizumab and Bevacizumab [0.03%]
分类回归树预测阿特朱单抗联合贝伐珠单抗治疗肝细胞癌患者的生存期
Timothy J Brown,Phyllis A Gimotty,Ronac Mamtani et al.
Timothy J Brown et al.
Purpose: Systemic therapy with atezolizumab and bevacizumab can extend life for patients with advanced hepatocellular carcinoma (HCC). However, there is substantial variability in response to therapy and overall survival....
Interinstitutional Approach to Advancing Geospatial Technologies for US Cancer Centers [0.03%]
美国癌症中心的地缘空间技术的机构合作进展研究
Todd Burus,Josh Martinez,Peter DelNero et al.
Todd Burus et al.