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01 Jan 2001

Data Mining in Medical Domain

Funding Source: University of Missouri Research Board (UMRB) Amount: $ 21,350

This project focused on developing intelligent data mining models/system to analyze and for-mulate more precise diagnostic factors for establishing an appropriate relationship between medication and any possible complications.

Data Mining in Medical Domain

01 May 2001

Medical Information System (EQUIS)

Funding Source: Mid America Heart Institute Amount: $155,753

The project developed several medical information systems including a metadata management system to semantically integrate concepts retrieved from heterogeneous sources into the MAHI data repository using Unified Medical Language System (UMLS), rule-based data cleaning system, HL7 message listening system to support communication between hospital systems.

Medical Information System (EQUIS)

01 Jan 2005

Semantic Web Search based on Peer to Peer Ontologies

Funding Source: University of Missouri Research Board (UMRB) Amount: $ 26,800

This main objective of this project is to develop an ontology-enabled browser that will help its user to acquire new concepts from the Web. The underlying ontological model will be achieved through the ‘peer-group learning’ process. The P2P ontologies infrastructure will be built for collaborative biomedical research.

Semantic Web Search based on Peer to Peer Ontologies

01 Sep 2003

OntoDiagram: Ontology Based Automatic Diagram Generation

Funding Source: Children’s Mercy Hospital and The Heartlab Co. Amount: $146,468

This main objective of this project is to perform statistical analysis and discover trends and sig-nificant patterns in data from heterogeneous sources such as Hospital Information Management, Health line 7 (HL7), imaging (DICOM), diseases (CPT) databases.

OntoDiagram: Ontology Based Automatic Diagram Generation

01 Sep 2007

ARTISAN: Art Inspired Service Oriented Architecture Design

Funding Source: National Science Foundation (NSF) IIS#0742666 Amount: $200,000

The primary focus was to develop a creative design paradigm for Service Oriented Architecture (SOA), inspired by ideas from art and film. The project tool and results have a direct impact on software/knowledge engineering communities as guidelines and publications on context-aware service composition for SOA.

ARTISAN: Art Inspired Service Oriented Architecture Design

01 Feb 2009

Advanced Cardiovascular Stent incorporated with Nanotechnology

Funding Source: Missouri Life Sciences Research Board grant Amount: $540,000

Cardiovascular stent has been exclusively used for the treatment of coronary heart diseases by maintaining steady blood flow, but restenosis is the major adverse symptoms which occurred in clinical application. This research focuses on development of innovative smart cardiovascular stent which can serve as a theranostic device against in-stent restenosis. The smart cardiovascu-lar stent will be equipped with highly sensitive and reliable non-invasive sensors and nitric ox-ide-eluting carriers. The envisioned wireless blood pressure monitoring system consists of an external portable reader and an implantable device containing a miniature pressure sensor and a telemetry unit.

Advanced Cardiovascular Stent incorporated with Nanotechnology

01 Sep 2009

An Intelligent Online System for Enhanced Recruitment of Patients for Clinical Re-search

Funding Source: National Institute of Health (NIH) Amount: $535,000

Recruitment and retention of subjects for clinical research is currently an inefficient and time-consuming process in the new drug development industry. This is especially true for the vul-nerable populations of individuals with psychiatric disorders. This project aims to develop a prototype for recruitment enhancement with a novel Internet-based system which will proactive-ly engage patients and their caregivers who desire to be informed about clinical trials which might be relevant for their specific diagnoses, disease states and various other characteristics which might determine their likelihood of meeting inclusion/exclusion criteria for specific stud-ies. Development will maintain focus on features which will be marketable pharmaceutical firms, contract research organizations and clinical trial sites. Such features will speed the recruitment process, enhance retention and also aid in protocol development.

An Intelligent Online System for Enhanced Recruitment of Patients for Clinical Re-search

01 Jan 2012

Smart Energy for Smart Life in Green Zones

Funding Source: Toyota Co. Amount: $151,300

There are increasing demands to realize socially-aware energy saving and pricing. However, to date, technological gaps exist that prevent achieving such a grand vision, especially in under-served communities and public-domain facilities. The goal of this project is to develop smart energy solutions for smart life particularly targeted for under-represented communities that can realize i) non-intrusive monitoring of energy consumption and behavior at multiple scales, ii) autonomous energy saving mechanisms that are transparent to general users, iii) intelligent prediction of energy costs and expenditures, iv) evaluation of personalized experiences for smart grid-enabled life at both residence and community levels, and v) discovering cost saving opportunities for community facilities.

Smart Energy for Smart Life in Green Zones

01 Sep 2009

An Intelligent Online System for Enhanced Recruitment of Patients for Clinical Re-search

Funding Source: National Institute of Health (NIH) Amount: $535,000

Recruitment and retention of subjects for clinical research is currently an inefficient and time-consuming process in the new drug development industry. This is especially true for the vul-nerable populations of individuals with psychiatric disorders. This project aims to develop a prototype for recruitment enhancement with a novel Internet-based system which will proactive-ly engage patients and their caregivers who desire to be informed about clinical trials which might be relevant for their specific diagnoses, disease states and various other characteristics which might determine their likelihood of meeting inclusion/exclusion criteria for specific stud-ies. Development will maintain focus on features which will be marketable pharmaceutical firms, contract research organizations and clinical trial sites. Such features will speed the recruitment process, enhance retention and also aid in protocol development.

An Intelligent Online System for Enhanced Recruitment of Patients for Clinical Re-search

01 Jan 2013

Active Mobile Interfaces for Promoting Active Lifestyle

Funding Source: University of Missouri Research Board Amount: $33,693

The overall goal of the Active Mobile Interfaces for Promoting Active Lifestyles (AMIPAL) project is to develop middleware to enable the creation of active games on mobile devices for kids. Ideally, the games should be engaging, exertional, educational and age appropriate. Any additional hardware should be minimal and inexpensive. The goals of this UMRB proposal are: 1) To develop an active interface that is an alternative to the traditional touchscreen interface for mobile computing devices, 2) To illustrate the use of the active interface by sample games, and 3) To carry out a pilot study for preliminary evaluation.

Active Mobile Interfaces for Promoting Active Lifestyle

01 Jan 2015

Software for Developing Consumer Driven Healthcare Solutions

Funding Agency: National Science Foundation (NSF), Amount: $45,000

This proposed project addresses an emerging healthcare problem, how to improve financial re-sults while improving the patient experience. Hospitals today rely on generic surveys mandated by the federal government to monitor patient satisfaction. Few providers have access to feed-back that allows them to identify and fix problems that matter to their patients. This project solves the problem by developing software that is able to quickly and efficiently analyze patient stories about recent hospital experiences. This tool not only identifies problems that need fixing from the patient’s perspective, it also highlights opportunities, e.g. how to streamline hospital discharges. This research will develop a dictionary of words and phrases that patients common-ly use when describing their hospital experiences. It will evaluate alternative methods for ex-tracting insight from patient stories to determine which approach delivers the most accurate re-sults.

Software for Developing Consumer Driven Healthcare Solutions

01 Jan 2017

IUCRC Planning Grant Center for Big Learning

National Science Foundation (NSF). CNS #1650549, $15,000, Role: Co-PI

The mission of the CBL is to pioneer in this emerging trend through united and coordinated efforts and deep integration and fusion of broad expertise from our large number of faculty members, students, and industry partners. CBL possesses the pioneering intellectual merit in the following key research themes. (1) Novel DL algorithms and models. (2) Novel DL sys-tems and intelligent platforms. (3) Novel DL applications in business, health, smart things, next-gen media compression and communication, security and surveillance. Broader Impacts: CBL is a unique and timely initiative as our society moves towards the intelligence-enabled world of opportunities. (1) Making significant contributions and impacts to the deep learning community on pioneering research and applications to address a broad spectrum of real-world challenges. (2) Making significant contributions and impacts on promoting products and ser-vices of the industry in general and our members in particular. (3) Making significant contri-butions and impacts to the urgently needed education of our next-generation talents with real-world settings and world-class mentors from both academia and industry. (4) Our meetings, forums, conferences, planned faculty development sessions, and a large number of multidis-ciplinary courses will significantly promote and broaden the research, education, and material-ization of DL.

IUCRC Planning Grant Center for Big Learning

About The Publication

The mission of the CBL is to pioneer in this emerging trend through united and coordinated efforts and deep integration and fusion of broad expertise from our large number of faculty members, students, and industry partners. CBL possesses the pioneering intellectual merit in the following key research themes. (1) Novel DL algorithms and models. (2) Novel DL sys-tems and intelligent platforms. (3) Novel DL applications in business, health, smart things, next-gen media compression and communication, security and surveillance. Broader Impacts: CBL is a unique and timely initiative as our society moves towards the intelligence-enabled world of opportunities. (1) Making significant contributions and impacts to the deep learning community on pioneering research and applications to address a broad spectrum of real-world challenges. (2) Making significant contributions and impacts on promoting products and ser-vices of the industry in general and our members in particular. (3) Making significant contri-butions and impacts to the urgently needed education of our next-generation talents with real-world settings and world-class mentors from both academia and industry. (4) Our meetings, forums, conferences, planned faculty development sessions, and a large number of multidis-ciplinary courses will significantly promote and broaden the research, education, and material-ization of DL.