Mining comorbidities: a brief survey

TL;DR

This paper provides a concise overview of comorbidity, exploring its definitions and the role of machine learning, especially NLP and text mining, in identifying and analyzing comorbidities.

Contribution

It offers a brief survey of comorbidity concepts and highlights recent applications of machine learning, NLP, and text mining in this domain.

Findings

Overview of comorbidity definitions

Discussion of NLP and text mining applications

Identification of potential for future research

Abstract

In this manuscript we will present a brief overview of the comorbidity concept. We will start by laying its foundations and its definitions and then describing the role that machine learning can hold in mining and defining it. The purpose of this short survey is to present a brief overview of the definition of comorbidity as a concept, and showing some of the latest applications and potentialities for the application of natural language processing and text mining techniques.