A biclustering method for heterogeneous and temporal medical data
M Vandromme, J Jacques, J Taillard… - … on Knowledge and …, 2020 - ieeexplore.ieee.org
We address the problem of biclustering on heterogeneous data, that is, data of various types
(binary, numeric, symbolic, temporal). We propose a new method, HBC-t (Heterogeneous …
(binary, numeric, symbolic, temporal). We propose a new method, HBC-t (Heterogeneous …
Framework based on complex networks to model and mine patient pathways
The automatic discovery of a model to represent the history of encounters of a group of
patients with the healthcare system--the so-called``pathway of patients''--is a new field of …
patients with the healthcare system--the so-called``pathway of patients''--is a new field of …
Model selection and explanation in multiview clustering-an application to fair cost reimbursement in burn care
CN Onah, R Allmendinger, J Handl… - … IN BURN CARE - search.proquest.com
Model selection and explanation in multiview clustering-an application to fair cost
reimbursement in burn care Page 118 Chapter 7 Paper 5: Model Selection and Explanation …
reimbursement in burn care Page 118 Chapter 7 Paper 5: Model Selection and Explanation …