Comparing two human disease networks: Gene-based and symptom-based perspectives

Yousuf Shah, Ibraheem Rehman, Cheryl Limer, Zach Eaton, Carol Reynolds, Alan Troidl, Kristie McHugh, Hiroki Sayama, Genki Ichinose

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Through the NetSci High program, an outreach program organized by network scientists to teach and give research oppurtunities to high school students relating to the field of network science, this research was started. As the field of medicine grows and more and more new diseases are discovered that are quite similar to each other, the number of misdiagnoses of these similar diseases can increase. As a result, it is necessary to look for a way to minimize the risks of misdiagnosing certain genetic diseases. By making physicians aware of pairs of similar and almost indistinguishable diseases, the number of misdiagnoses may decrease. Although many of these almost indistinguishable diseases could have very similar treatments, many may not. Therefore, it is crucial that physicians make accurate diagnoses because there is always a life at stake.

Original languageEnglish
Title of host publicationISEC 2015 - 5th IEEE Integrated STEM Education Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages3
ISBN (Electronic)9781479918294
Publication statusPublished - 2015 Jun 8
Externally publishedYes
Event5th IEEE Integrated STEM Education Conference, ISEC 2015 - Princeton, United States
Duration: 2015 Mar 7 → …


Other5th IEEE Integrated STEM Education Conference, ISEC 2015
CountryUnited States
Period15/3/7 → …


  • diagnoses and misdiagnoses
  • disease-gene network
  • disease-symptom network
  • genetic diseases

ASJC Scopus subject areas

  • Education

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