About the Center for Big Data in Health Sciences (CBD-HS)
通过大数据彻底改变公共卫生。
卫生科学大数据中心是来自得克萨斯州医学中心的教职员工联盟,包括公共卫生学院,生物医学信息学学院,医学博士Anderson Cancer Center,McGovern医学院等,他们正在共同努力,他们共同努力solve public health problems with one of science’s most untapped resources—Big Data.
目标
- Build a national/international-level Big Data research program for biomedical and health sciences via developing/promoting use of state-of-the-art Big Data analytic approaches and technologies
- 建立一个数据驱动的研究平台,以弥合计算/beplay苹果手机能用吗定量科学家与生物医学/健康调查人员之间的差距
- Support development of data science education programs to train next generation of health data scientists
- Engage and develop partnerships with industries to promote individual health and community well-being by improving diagnosis, treatment, and prevention of diseases and injuries using Big Data
Membership eligibility
We are seeking CBD-HS members with expertise in the following areas:
- 大数据分析的统计方法
- Bioinformatics data analysis and modeling: Omics data analysis and integration
- Biomathematical modeling and computational biology
- 大数据分析software development
- 数据挖掘和机器学习
- Expertise and experience in novel data types: text documents, audio, video, EMR, EHR, mHealth, imaging data, EEG, sensor-based data, wearable device data, GPS data, location-based data, social media data, network data et.
- High Performance Computing: parallel computing, cloud computing, high performance computing algorithms, numerical optimization algorithms
- Any clinical, biomedical and health science investigators who are interested in using Big Data for their research and practice
Current research initiatives
如果您有兴趣了解我们正在努力或想参与的任何研究计划的更多信息,请联系beplay苹果手机能用吗Kevin Banks。
GEO Big Data Project
目标:
- 开发可扩展的大数据分析管道,以分析从GEO数据存储库中分析大量时间课程基因表达数据集
- 开发一个基于Web的协作平台,与遗传和生物医学合作者共享大量分析结果,以提取科学见解并通过出版物从可扩展的分析管道中传播大量发现。
EHR协作工作组
促进统计学家/数据科学家与生物医学/临床/流行病学研究人员使用EHR/EMR和医疗保险索赔数据来开发疾病风险的预测模型,并评估临床治疗的影响,以根据现实世界的证据提供治疗建议
EHR方法研究工作组beplay苹果手机能用吗
Developing novel statistical methods and predictive models for EHR and medical insurance claim data in order to address clinical and public health questions
英国生物银行研究工作组beplay苹果手机能用吗
Developing novel predictive models and statistical methods to integrate heterogeneous and different types of data from the UK Biobank study to address epidemiological and public health questions
How can we help you?
Contributions to UTHealth community: Collaboration/consulting service and support
我们为生物医学和健康科学研究者提供协作支持和咨询服务:
- 设计研究项目和beplay苹果手机能用吗大数据收集工具/策略
- Develop database or data warehouse for Big Data management
- 大数据协调和集成
- 大数据可视化
- 大数据分析
- 大数据建模和预测
- 将开发用于大数据识别,beplay苹果手机能用吗管理,集成,可视化,分析,建模和预测的大数据研究平台,以支持UTHealth的大数据研究。
Industry engagement
We will actively develop collaborations and partnerships with related industries, including local companies, national and international corporations who may own Big Data and need analytic support. This will not only benefit our Center's faculty for research purpose, but also this is good for our students to get more opportunities for summer internships and jobs.
CBD-HS available resources
Data Resources, Cerner Health Facts
欧洲核子研究中心健康数据库涵盖了所有的事实health care records for 85 systems with 750 facilities in the United States from 2000 to 2018. The patient-level data in Cerner includes longitudinal encounters with detailed records of diagnoses, medications, clinical events, procedures and lab procedures. It represents a total of 69 million unique patients across the United States. Of the 69 million patients, 52% are female and 42% are male (6% are gender-unidentified). The racial makeup of the 69 million patients is 49.5% Caucasian, 11.8% African American, 2.9% Hispanic, 1.8% Asian and Native American, less than 1% Pacific Islander, Middle Eastern Indian, and 16.4% racial status unidentified. Patient marital status is 33% married, 22.6% single, 3.3% divorced, 3% widowed, and others are marital status unidentified. The mean patient age is 46.8 years old, with a range of 0-90 years old. In total, the database includes 487 million unique encounters with 939 million diagnoses, coded in International Classification of Diseases (ICD-9) codes. The database has 674 million medication records, 118 million procedure records, 5.3 billion clinical event records and 4.2 billion lab procedure records.
Hardware/Software Resources
基础设施
生物统计学和数据科学系拥有几种最先进的高性能计算设备。两家最近获得的HPE服务器各有36个内核72个螺纹,768GB内存和2 x NVIDIA V100 GPU/16GB。这两个服务器与2 x 10Gbps光纤连接到192 TB容量的HPE 3PAR存储节点,并聚集到Hadoop/HBase/Spark系统进行大数据分析。该部门还显示了下图中显示的其他3台服务器。[照片]
Technical Staff
一个高技能技术人员的团队为计算,数据管理和网络提供支持。该部门有一个程序员分析师/系统管理员来安装,维护和管理所有硬件,软件和网络。数据库管理器,以协助数据库创建,操作和检索。公共卫生学院还通过IT部门通过计算机服务,网络服务,电信,行政支持和服务台提供额外的帮助。
德州高级计算中心(TACC)
得克萨斯高级计算中心(TACC)是一个rvice available to UT researchers that help in utilizing powerful advanced computing technologies. TACC designs and deploys the world's most powerful advanced computing technologies and innovative software solutions. TACC's environment includes a comprehensive cyberinfrastructure ecosystem of leading-edge resources in high performance computing, visualization, data analysis, storage, archive, cloud, data-driven computing, connectivity, tools, APIs, algorithms, consulting, and software. They provide systems and software support to researchers, and have worked on over 3000 projects by more than 1000 researchers at over 350 institutions nationally and worldwide that address scientific concepts to improve the quality of life. TACC has a number of HPC clusters including, “Stampede” with 6400 computing nodes, 102,656 cores, 205 terabytes of memory and a peak performance of 10 petaflops (PF), ranked #10 in the world Top500 Supercomputers, November 2015), “Lonestar” which UT System institution investigators have exclusive access to has 1901 computing nodes, 22,256 cores and 302 TF theoretical peak performance, “Corral” is a collection of storage and data management resources primarily located at TACC, with 5 petabytes of storage installed in the UT data centers at TACC and in Arlington, and an additional petabyte of unreplicated storage for low-latency applications.
其他数据库和中心
Center for Biostatistics Collaboration and Data Services
联系我们
Kevin Banks
beplay苹果手机能用吗研究协调员
kevin.j.banks@uth.tmc.edu
(713)500-9584