Abstract

Core 4 - Training The training core will ensure that the students involved in IDASH-related research will have a formal structure to be trained in health informatics and an opportunity to directly apply their knowledge. Two programs of study will be supported to ensure short- and long-term opportunities as well as to reach a diverse universe of candidates: (1) a doctoral program in Bioinformatics at UCSD, and (2) a master's degree in Bioinformatics and Medical Informatics at San Diego State University (SDSU). Two additional courses {Principles of Biomedical Informatics and either Bioinformatics Applications to Human Disease or Biomedical Decision Support, taught by the PI and members of the Division of Biomedical Informatics, plus a weekly seminar in medical informatics and a rotation at the UCSD Medical Center will be required for graduate students funded by this grant. Additional trainees are expected to part:icipate in IDASH and will be funded by existing mechanisms. Recruitment of under-represented minorities and women will utilize existing programs at UCSD and SDSU as well as investigators'professional networks.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54HL108460-05
Application #
8697115
Study Section
Special Emphasis Panel (ZRG1)
Project Start
Project End
Budget Start
2014-07-01
Budget End
2015-06-30
Support Year
5
Fiscal Year
2014
Total Cost
Indirect Cost

  Institution

Name
University of California San Diego
Department
Type
DUNS #
City
La Jolla
State
CA
Country
United States
Zip Code
92093

  Publications

Chen, Luyao; Aziz, Md Momin; Mohammed, Noman et al. (2018) Secure large-scale genome data storage and query. Comput Methods Programs Biomed 165:129-137
Groat, Danielle; Soni, Hiral; Grando, Maria Adela et al. (2018) Self-Reported Compensation Techniques for Carbohydrate, Exercise, and Alcohol Behaviors in Patients With Type 1 Diabetes on Insulin Pump Therapy. J Diabetes Sci Technol 12:412-414
Nguyen, Nghia H; Khera, Rohan; Ohno-Machado, Lucila et al. (2018) Annual Burden and Costs of Hospitalization for High-Need, High-Cost Patients With Chronic Gastrointestinal and Liver Diseases. Clin Gastroenterol Hepatol 16:1284-1292.e30
Weng, Wei-Hung; Wagholikar, Kavishwar B; McCray, Alexa T et al. (2017) Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach. BMC Med Inform Decis Mak 17:155
Groat, Danielle; Grando, Maria A; Thompson, Bithika et al. (2017) A Methodology to Compare Insulin Dosing Recommendations in Real-Life Settings. J Diabetes Sci Technol 11:1174-1182
Doan, Son; Ritchart, Amanda; Perry, Nicholas et al. (2017) How Do You #relax When You're #stressed? A Content Analysis and Infodemiology Study of Stress-Related Tweets. JMIR Public Health Surveill 3:e35
Grando, Maria Adela; Groat, Danielle; Soni, Hiral et al. (2017) Characterization of Exercise and Alcohol Self-Management Behaviors of Type 1 Diabetes Patients on Insulin Pump Therapy. J Diabetes Sci Technol 11:240-246
Burgoyne, Adam M; De Siena, Martina; Alkhuziem, Maha et al. (2017) Duodenal-Jejunal Flexure GI Stromal Tumor Frequently Heralds Somatic NF1 and Notch Pathway Mutations. JCO Precis Oncol 2017:
Chen, Feng; Wang, Shuang; Jiang, Xiaoqian et al. (2017) PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS. Bioinformatics 33:871-878
Vaidya, Jaideep; Shafiq, Basit; Asani, Muazzam et al. (2017) A Scalable Privacy-preserving Data Generation Methodology for Exploratory Analysis. AMIA Annu Symp Proc 2017:1695-1704

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