Domain Analysis of Integrated Data to Reduce Cost Associated with Liver Disease
Domain Analysis of Integrated Data to Reduce Cost Associated with Liver Disease
复制标题
综合数据领域分析以降低与肝病相关的成本
DOI：
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复制
发表时间：
2015
期刊：
影响因子：
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通讯作者：
Philip R. O. Payne
中科院分区：
文献类型：
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作者：
Tasneem Motiwala;B. Kite;Kelly Regan;Gregg M. Gascon;Philip R. O. Payne
肝癌是世界范围内男性第五大常见癌症和第二大癌症相关死亡原因，不仅缺乏临床研究，而且缺乏早期检测的信息学工具。因此，它带来了重大的健康和成本负担。在不同类型的肝癌中，肝细胞癌（HCC）是最常见和致命的形式，由潜在的肝脏疾病引起。目前用于预测HCC和肝病风险的模型仅限于临床数据。对现有的HCC和肝病筛查相关研究的领域分析表明，代谢综合征（MetS）可能为检测肝病的早期体征提供了机会。本文的目的是（i）提供HCC，肝脏疾病和代谢综合征之间关系的领域分析，（ii）审查当前可用于MetS诊断的不同数据来源，以及（iii）从可用的管理（生物统计学，PHA，索赔）和实验室数据中推荐MetS诊断的信息学解决方案，以早期预测肝脏疾病。我们的领域分析和建议结合了最佳实践，以有效利用现有数据，降低与肝病相关的成本。
Liver cancer, the fifth most common cancer and second leading cause of cancer-related death among men worldwide, is plagued by not only lack of clinical research, but informatics tools for early detection. Consequently, it presents a major health and cost burden. Among the different types of liver cancer, hepatocellular carcinoma (HCC) is the most common and deadly form, arising from underlying liver disease. Current models for predicting risk of HCC and liver disease are limited to clinical data. A domain analysis of existing research related to screening for HCC and liver disease suggests that metabolic syndrome (MetS) may present oppportunites to detect early signs of liver disease. The purpose of this paper is to (i) provide a domain analysis of the relationship between HCC, liver disease, and metabolic syndrome, (ii) a review of the current disparate sources of data available for MetS diagnosis, and (iii) recommend informatics solutions for the diagnosis of MetS from available administrative (Biometrics, PHA, claims) and laboratory data, towards early prediction of liver disease. Our domain analysis and recommendations incorporate best practices to make meaningful use of available data with the goal of reducing cost associated with liver disease.
影响因子：
29.4
作者：
El-Serag HB
通讯作者：
El-Serag HB