Suraj Rajendran,Jihad S Obeid,Hamidullah Binol et al.
Suraj Rajendran et al.
Purpose: Building well-performing machine learning (ML) models in health care has always been exigent because of the data-sharing concerns, yet ML approaches often require larger training samples than is afforded by one i...
Pursuing Data Modernization in Cancer Surveillance by Developing a Cloud-Based Computing Platform: Real-Time Cancer Case Collection [0.03%]
基于云的计算平台的癌症监测数据现代化研究及实时案例收集工作
David E Jones,Temitope O Alimi,Paran Pordell et al.
David E Jones et al.
Cancer surveillance is a field focused on collection of data to evaluate the burden of cancer and apply public health strategies to prevent and control cancer in the community. A key challenge facing the cancer surveillance community is the...
Brigham Walker,Marley Boyd,Kat Aguilar et al.
Brigham Walker et al.
Does a Custom Electronic Health Record Alert System Improve Physician Compliance With National Quality Measures for Palliative Bone Metastasis Radiotherapy? [0.03%]
个性化电子病历预警系统能否提高姑息性骨转移放射治疗的国家医疗质量标准依从性？
Stephen R Grant,Benjamin D Smith,Prasamsa Pandey et al.
Stephen R Grant et al.
Purpose: In an effort to promote cost-conscious, high-quality, and patient-centered care in the palliative radiation of painful bone metastases, the National Quality Forum (NQF) formed measure 1822 in 2012, which recommen...
Extending the OMOP Common Data Model and Standardized Vocabularies to Support Observational Cancer Research [0.03%]
扩展OMOP通用数据模型和标准词汇以支持观察性癌症研究
Rimma Belenkaya,Michael J Gurley,Asieh Golozar et al.
Rimma Belenkaya et al.
Samuel M Rubinstein,Tarsheen Sethi,Neeta K Venepalli et al.
Samuel M Rubinstein et al.
Cancer medicine has grown increasingly complex in recent years with the advent of precision oncology and wide utilization of multidrug regimens. Representing this increasingly granular knowledge is a significant challenge. As users and mana...
Apples and Oranges? Considerations for EHR-Based Analyses Aggregating Data From Interventional Clinical Trials and Point-of-Care Encounters in Oncology [0.03%]
基于EHR的分析聚合来自临床试验和肿瘤学实时诊疗的数据考量因素：天差地别吗？
Jessica A Lavery,Margaret K Callahan,Katherine S Panageas
Jessica A Lavery
Impact of COVID-19 on Cancer Care: How the Pandemic Is Delaying Cancer Diagnosis and Treatment for American Seniors [0.03%]
新冠疫情对癌症护理的影响：疫情如何延迟了美国老年人的癌症诊疗？
Debra Patt,Lucio Gordan,Michael Diaz et al.
Debra Patt et al.
Purpose: While the immediate care and access disruptions associated with the COVID-19 pandemic have received growing attention in certain areas, the full range of gaps in cancer screenings and treatment is not yet well un...
Application of Artificial Intelligence Methods to Pharmacy Data for Cancer Surveillance and Epidemiology Research: A Systematic Review [0.03%]
人工智能方法在癌症监测和流行病学研究中应用的系统综述：对药房数据的应用
Andrew E Grothen,Bethany Tennant,Catherine Wang et al.
Andrew E Grothen et al.
Purpose: The implementation and utilization of electronic health records is generating a large volume and variety of data, which are difficult to process using traditional techniques. However, these data could help answer...
Reimagining T Staging Through Artificial Intelligence and Machine Learning Image Processing Approaches in Digital Pathology [0.03%]
基于数字病理学中人工智能和机器学习图像处理方法重塑T期分期标准
Kaustav Bera,Ian Katz,Anant Madabhushi
Kaustav Bera
Tumor stage and grade, visually assessed by pathologists from evaluation of pathology images in conjunction with radiographic imaging techniques, have been linked to outcome, progression, and survival for a number of cancers. The gold stand...