Feature mining for prediction of degree of liver fibrosis.

Benjamin W. Mayer, Huzefa S. Rangwala, Rohit Gupta, Jaideep Srivastava, George Karypis, Vipin Kumar, Piet C. de Groen

Research output: Contribution to journalArticle

3 Citations (Scopus)
Original languageEnglish
Pages (from-to)1048
Number of pages1
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
Publication statusPublished - 2005
Externally publishedYes

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Computer-Assisted Diagnosis
Clinical Decision Support Systems
Liver Cirrhosis

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Mayer, B. W., Rangwala, H. S., Gupta, R., Srivastava, J., Karypis, G., Kumar, V., & de Groen, P. C. (2005). Feature mining for prediction of degree of liver fibrosis. AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 1048.

Feature mining for prediction of degree of liver fibrosis. / Mayer, Benjamin W.; Rangwala, Huzefa S.; Gupta, Rohit; Srivastava, Jaideep; Karypis, George; Kumar, Vipin; de Groen, Piet C.

In: AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 2005, p. 1048.

Research output: Contribution to journalArticle

Mayer, Benjamin W. ; Rangwala, Huzefa S. ; Gupta, Rohit ; Srivastava, Jaideep ; Karypis, George ; Kumar, Vipin ; de Groen, Piet C. / Feature mining for prediction of degree of liver fibrosis. In: AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium. 2005 ; pp. 1048.
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