Gouri Shankar Bhattacharyya,Sneha J Bothra,Hemant Malhotra et al.
Gouri Shankar Bhattacharyya et al.
Paul Wormeli,Jenna Mazreku,Jeremy Pine et al.
Paul Wormeli et al.
For central cancer registries to become a more significant public health resource, they must evolve to capture more timely, accurate, and extensive data. Key stakeholders have called for a faster time to deliver work products, data extensio...
External Validation of the Bone Metastases Ensemble Trees for Survival (BMETS) Machine Learning Model to Predict Survival in Patients With Symptomatic Bone Metastases [0.03%]
BMETS生存预测模型的外部验证：用于症状性骨转移患者的生存预测
Christen R Elledge,Anna W LaVigne,Jacob Fiksel et al.
Christen R Elledge et al.
Purpose: The Bone Metastases Ensemble Trees for Survival (BMETS) model uses a machine learning algorithm to estimate survival time following consultation for palliative radiation therapy for symptomatic bone metastases (S...
Development and Evaluation of Perl-Based Algorithms to Classify Neoplasms From Pathology Records in Synoptic Report Format [0.03%]
基于perl的算法的发展与评价：用于从概要报告格式的病理记录中分类新生物
Kristen R Rossi,Diana Echeverria,Anna Carroll et al.
Kristen R Rossi et al.
Purpose: Synoptic reporting provides a mechanism for uniform and structured pathology diagnostics. This paper demonstrates the functionality of Perl alternation and grouping expressions to classify electronic pathology re...
Clinical Data Prediction Model to Identify Patients With Early-Stage Pancreatic Cancer [0.03%]
临床数据预测模型识别早期胰腺癌患者
Qinyu Chen,Daniel R Cherry,Vinit Nalawade et al.
Qinyu Chen et al.
Purpose: Pancreatic cancer is an aggressive malignancy with patients often experiencing nonspecific symptoms before diagnosis. This study evaluates a machine learning approach to help identify patients with early-stage pa...
Kelly W Merriman,Ronda G Broome,Giordana De Las Pozas et al.
Kelly W Merriman et al.
The cancer registrar reports accurate, complete, and timely abstracted cancer data to various healthcare agencies. The data are used for understanding the incidence of cancer, evaluating the effectiveness of public health efforts in the pre...
Valerie P Csik,Michael Li,Adam F Binder et al.
Valerie P Csik et al.
Purpose: Acute care utilization (ACU), including emergency department (ED) visits or hospital admissions, is common in patients with cancer and may be preventable. The Center for Medicare & Medicaid Services recently impl...
OSIRIS: A Minimum Data Set for Data Sharing and Interoperability in Oncology [0.03%]
OSIRIS：肿瘤学数据共享和互操作性的最小数据集
Julien Guérin,Yec&#x;han Laizet,Vincent Le Texier et al.
Julien Guérin et al.
Purpose: Many institutions throughout the world have launched precision medicine initiatives in oncology, and a large amount of clinical and genomic data is being produced. Although there have been attempts at data sharin...
Reply to J. Chen et al [0.03%]
陈杰等学者文后置评
Travis J Osterman,May Terry,Robert S Miller
Travis J Osterman
Applying the Minimal Common Oncology Data Elements (mCODE) to the Asia-Pacific Region [0.03%]
mCODE在亚太地区的应用
Junqiao Chen,Yiyun Chiang
Junqiao Chen