Pattern-based survival analysis and its application to medicine

Travaughn Coren Bain (), Ersoy Subasi () and Munevver Mine Subasi ()
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Travaughn Coren Bain: Florida Institute of Technology
Ersoy Subasi: Florida Institute of Technology
Munevver Mine Subasi: Florida Institute of Technology

Annals of Operations Research, 2025, vol. 353, issue 3, No 1, 883 pages

Abstract: Abstract A systematic survival analysis approach is developed to integrate the fundamental concepts from conventional statistics and the more explanatory, algorithmic, and computational techniques offered by optimization and machine learning. The proposed methodology enables the discovery of the combinations of significant features associated with time to an event of interest and produces combinatorial patterns in large-scale datasets. The combinatorial survival patterns are obtained as algorithmic solutions of a mixed integer linear programming problem. Application of the developed pattern-based survival analysis approach is demonstrated in benchmark medical datasets.

Keywords: Survival analysis; Combinatorial patterns; Logical analysis of data; Machine learning (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10479-025-06811-5

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