Deep Learning, Natural Language Processing, and Explainable Artificial Intelligence in the Biomedical Domain

by   Milad Moradi, et al.

In this article, we first give an introduction to artificial intelligence and its applications in biology and medicine in Section 1. Deep learning methods are then described in Section 2. We narrow down the focus of the study on textual data in Section 3, where natural language processing and its applications in the biomedical domain are described. In Section 4, we give an introduction to explainable artificial intelligence and discuss the importance of explainability of artificial intelligence systems, especially in the biomedical domain.



page 1

page 2

page 3

page 4


Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (2008)

This is the Proceedings of the Twenty-Fourth Conference on Uncertainty i...

Interpreting convolutional networks trained on textual data

There have been many advances in the artificial intelligence field due t...

Processamento de linguagem natural em Português e aprendizagem profunda para o domínio de Óleo e Gás

Over the last few decades, institutions around the world have been chall...

Exploring Semantic Capacity of Terms

We introduce and study semantic capacity of terms. For example, the sema...

Contextual Word Representations: A Contextual Introduction

This introduction aims to tell the story of how we put words into comput...

Information Extraction Tool Text2ALM: From Narratives to Action Language System Descriptions

In this work we design a narrative understanding tool Text2ALM. This too...

An Algorithm for Generating Gap-Fill Multiple Choice Questions of an Expert System

This research is aimed to propose an artificial intelligence algorithm c...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.