Empirical analysis of Zipf’s law, power law, and lognormal distributions in medical discharge reports

Juan C Quiroz,Liliana Laranjo,Catalin Tufanaru,Ahmet Baki Kocaballi,Dana Rezazadegan,Shlomo Berkovsky,Enrico Coiera

International Journal of Medical Informatics（2021）

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摘要

Medical discharge reports and subsections are best modeled by the truncated power law (with cut-off) and lognormal distributions. Bayesian nonparametric models for modeling power law behavior are likely to improve modeling efficacy.

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关键词

Data mining,MIMIC-III dataset,Machine learning,Maximum likelihood estimation,Power-law with exponential cut-off,Statistical distributions

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