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2013 IEEE International Conference on Healthcare Informatics (ICHI) (2013)
Philadelphia, PA, USA
Sept. 9, 2013 to Sept. 11, 2013
ISBN: 978-0-7695-5089-3
pp: 486
Rajeev Agrawal , NC A&T State Univ., Greensboro, NC, USA
Muhammad Suleiman , NC A&T State Univ., Greensboro, NC, USA
Cameron Seay , NC A&T State Univ., Greensboro, NC, USA
Clay Gloster , NC A&T State Univ., Greensboro, NC, USA
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.
INDEX TERMS
History, Diseases, Pediatrics, Diabetes, Educational institutions, Heuristic algorithms
CITATION

R. Agrawal, M. Suleiman, C. Seay and C. Gloster, "Dynamic Disease Forecast Network Using Family Medical History," 2013 IEEE International Conference on Healthcare Informatics (ICHI), Philadelphia, PA, USA, 2014, pp. 486.
doi:10.1109/ICHI.2013.74
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