Michael T. Lash

Michael T. Lash

♦ Assistant Professor at the University of Kansas School of Busines ♦ Technology, Operations, and AI Consultant

Deriving Enhanced Geographical Representations via Similarity-based Spectral Analysis: Predicting Colorectal Cancer Survival Curves in Iowa

Published in International Journal of Data Mining and Bioinformatics (IJDMB), 2019

Recommended citation: M.T. Lash, M. Zhang, X. Zhou, C.F. Lynch, and W.N. Street, Deriving Enhanced Geographical Representations via Similarity-based Spectral Analysis: Predicting Colorectal Cancer SurvivalCurves in Iowa, International Journal of Data Mining and Bioinformatics (IJDMB), 21(3):183-211, 2018. http://michael-lash.github.io/files/ijdmb-2019.pdf

Download paper here

This work extends the method and analysis of our 2017 BIBM paper; we propose a method to learn from geographical data to predict colorectal cancer survival curves for patients in the US state of Iowa.

Recommended citation: M.T. Lash, M. Zhang, X. Zhou, C.F. Lynch, and W.N. Street, Deriving Enhanced Geographical Representations via Similarity-based Spectral Analysis: Predicting Colorectal Cancer SurvivalCurves in Iowa, International Journal of Data Mining and Bioinformatics (IJDMB), 21(3):183-211, 2018.