DocumentCode :
652140
Title :
Dynamic Disease Forecast Network Using Family Medical History
Author :
Agrawal, Rajeev ; Suleiman, Muhammad ; Seay, Cameron ; Gloster, Clay
Author_Institution :
NC A&T State Univ., Greensboro, NC, USA
fYear :
2013
fDate :
9-11 Sept. 2013
Firstpage :
486
Lastpage :
486
Abstract :
In primary health care, family history has been considered an important tool to assess the risk of having a certain disease in a person. As more and more data about the medical history of people is becoming available, it is possible to implement a dynamic disease forecast network to create the risk profile of all the family members. This network will update itself whenever medical data such as the test results of a person in the family change. The proposed network can be expanded as a child is born in the family.
Keywords :
diseases; health care; medical information systems; dynamic disease forecast network; family medical history; medical data; primary health care; Diabetes; Diseases; Educational institutions; Heuristic algorithms; History; Pediatrics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Healthcare Informatics (ICHI), 2013 IEEE International Conference on
Conference_Location :
Philadelphia, PA
Type :
conf
DOI :
10.1109/ICHI.2013.74
Filename :
6680522
Link To Document :
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