Mobile Application for Healthcare, Epidemiology, and Safety (MAES)

Award Information
Agency: Department of Defense
Branch: Defense Health Program
Contract: N00014-12-M-0112
Agency Tracking Number: O112-H17-3128
Amount: $150,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2012
Solicitation Year: 2011
Solicitation Topic Code: OSD11-H17
Solicitation Number: 2011.2
Small Business Information
1408 University Drive East, College Station, TX, -
DUNS: 555403328
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Madhav Erraguntla
 Senior Research Scientist
 (979) 260-5274
Business Contact
 Donielle Mayer
Title: Business Operations Manager
Phone: (979) 260-5274
Research Institution
The goal of this initiative is to develop a mobile application that provides location-based alerts and advice on healthcare, epidemiology and safety. The proposed Mobile Application for Healthcare, Epidemiology, and Safety (MAES) collects data from multiple sources and data formats; extracts healthcare, epidemiology and safety information; analyzes trends, patterns and geospatial data; forecasts comprehensive, multi-dimensional health and safety statuses; and provides alerts and advice to users. Data collected and analyzed by MAES will include (i) open source unstructured and text data from public health, international and national health organization websites, weather, news feeds and blogs, and (ii) user entered structured and unstructured data (SMS, text, forms, images, and geo referenced data). Natural language processing and advanced data mining techniques will be used to extract information on disease outbreaks, their progression, and their epidemiological analyses. In addition to health and disease outbreaks, MAES will collect, extract and organize information about weather conditions and natural disasters as well as man-made and bioterrorist events. Data mining, machine learning and forecasting algorithms will be used to analyze the data. MAES will use this information to deliver context sensitive, location based alerts, and to provide advice to users on healthcare, diseases, safety and environmental issues.

* Information listed above is at the time of submission. *

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