Novel Machine Learning Algorithm Predicts Disease Progression in Polycythemia Vera (PV) with Readily-Available Baseline Characteristics

Srisuwananukorn, A., Percha, B., Abu-Zeinah, G., Scandura, J., Krichevsky, S., Taylor, E., Silver, R. T., Thibaud, S., Ronner, L., Podoltsev, N., Gotlib, J., Heaney, M. L., Kuykendall, A. T., O’Connell, C., Shammo, J. M., Fleischman, A., Mesa, R. A., Yacoub, A., Hoffman, R., … Tremblay, D. (2021). Novel Machine Learning Algorithm Predicts Disease Progression in Polycythemia Vera (PV) with Readily-Available Baseline Characteristics. Blood, 138(Supplement 1), 2583–2583. https://doi.org/10.1182/blood-2021-150561
Authors:
Andrew Srisuwananukorn
Beth Percha
Ghaith Abu‐Zeinah
Joseph M. Scandura
Spencer Krichevsky
Elwood Taylor
Richard T. Silver
Santiago Thibaud
Lukas Ronner
Nikolai A. Podoltsev
Jason Gotlib
Mark Heaney
Andrew Kuykendall
Casey L. O’Connell
Jamile M. Shammo
Angela G. Fleischman
Ruben A. Mesa
Abdulraheem Yacoub
Ronald Hoffman
John Mascarenhas
Douglas Tremblay
Affiliated Authors:
Mark Heaney
Publication Type:
Article
Unique ID:
10.1182/blood-2021-150561
Journal:
Publication Date:
Data Source:
OpenAlex

Record Created: