Algorithm for comorbidities, associations, length of stay and mortality (ACALM)

被引：0
作者：
Potluri, Rahul [1 ]
机构：
[1] Aston Univ, Aston Med Sch, ACALM Study Unit, Birmingham B4 7ET, W Midlands, England
来源：
FUTURE ONCOLOGY | 2018年 / 14卷 / 20期
关键词：
ACALM; big data; cancer; digital; future; hyperlipidemia; medicine; personalized; prospects; research; review; PSYCHIATRIC CO-MORBIDITIES; VASCULAR DEMENTIA; WORSE MORTALITY; UNITED-KINGDOM; RISK-FACTORS; ADMISSIONS; WEEKENDS; BURDEN; TRENDS; BREAST;
D O I：
10.2217/fon-2018-0387
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
The dream is personalized medicine and the ability to create a mechanism whereby using the data in big data groups such as ACALM, patients can be evaluated according to their characteristics and with a high degree of certainty, we can deliver patient-specific diagnostic and management options for their needs holistically.
引用
收藏
页码：1991 / 1994
页数：4
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