Big Data Imaging Genomics

被引：0
|
作者：
Kochunov, Peter [1 ]
Shen, Li [2 ]
van Horn, John Darrell [3 ,4 ]
Thompson, Paul M. [5 ]
机构：
[1] Univ Maryland, Sch Med, Dept Psychiat, Maryland Psychiat Res Ctr, Baltimore, MD 21201 USA
[2] Univ Penn, Perelman Sch Med, Dept Biostat Epidemiol & Informat, Philadelphia, PA USA
[3] Univ Virginia, Dept Psychol, Charlottesville, VA USA
[4] Univ Virginia, Sch Data Sci, Charlottesville, VA USA
[5] Univ Southern Calif, Imaging Genet Ctr, Mark & Mary Stevens Neuroimaging & Informat Inst, Keck Sch Med, Marina Del Rey, CA USA
来源：
BIOCOMPUTING 2022, PSB 2022 | 2022年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This PSB 2022 session addresses challenges and solutions in translating Big Data Imaging Genomics research towards personalized medicine and guiding individual clinical decisions. We will focus on Big Data analyses, pattern recognition, machine learning and AI, electronic health records, guiding diagnostic and treatment decisions and reports of state-of-the-art findings from large and diverse imaging, genomics, and other biomedical datasets.
引用
收藏
页码：68 / 72
页数：5
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