Abstract
This work surveys some diagnostic applications of information theoryInformation theory based identification methods. It emphasizes the advantages of information-theoretical methodology over other identification methods, such as the heuristic methods of deep learningDeep Learning and neural networks. It exemplifies the utility of information-theoretical methodology with examples of several original applications: establishing physiologically meaningful thresholds, predicting risks for individual age-related diseasesAge-related diseases and multimorbidityMultimorbidity, and evaluating the structuredness of gene nucleotide sequences. We believe, in the future, the theoretically grounded information-theoretical methodology will assume an ever-increasing role in the studies of agingAging and longevityLongevity and their practical clinical applications. With increasing awareness and wider application of the unique capabilities of information-theoretical methodology, it may become a common assistive tool for data analysis and decision making by researchers and clinicians.
Original language | English |
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Title of host publication | Artificial Intelligence for Healthy Longevity |
Editors | Alexey Moskalev, Ilia Stambler, Alex Zhavoronkov |
Place of Publication | Cham |
Publisher | Springer International Publishing |
Pages | 245-274 |
Number of pages | 30 |
ISBN (Print) | 978-3-031-35176-1 |
DOIs | |
State | Published - 2023 |