Natural Language Processing In Healthcare: A Special Focus on Low Resource Languages covers the theoretical and practical aspects as well as ethical and social implications of NLP in healthcare. It showcases the latest research and developments contributing to the rising awareness and importance of maintaining linguistic diversity. The book goes on to present current advances and scenarios based on solutions in healthcare and low resource languages and identifies the major challenges and opportunities that will impact NLP in clinical practice and health studies.

chapter 1|17 pages

A Clinical Practice by Machine Translation on Low Resource Languages

ByRupjyoti Baruah, Anil Kumar Singh

chapter 2|17 pages

Feature Analysis and Classification of Impaired Language Caused by Brain Injury

ByMarisol Roldan-Palacios, Aurelio López-Lopez

chapter 3|23 pages

Natural Language Processing for Mental Disorders: An Overview

ByIacer Calixto, Victoria Yaneva, Raphael Moura Cardoso

chapter 4|27 pages

Healthcare NLP Infrastructure for the Greek Language

ByAristides Vagelatos, Elena Mantzari, Mavina Pantazara, Christos Tsalidis, Chryssoula Kalamara

chapter 5|31 pages

Formalizing the Recognition of Medical Domain Multiword Units

ByKristina Kocijan, Krešimir Šojat

chapter 6|17 pages

HealFavor: Machine Translation Enabled Healthcare Chat Based Application

BySahinur Rahman Laskar, Abdullah Faiz Ur Rahman Khilji, Partha Pakray, Rabiah Abdul Kadir, Maya Silvi Lydia, Sivaji Bandyopadhyay

chapter 7|20 pages

Development of a Machine Translation System for Promoting the Use of a Low Resource Language in the Clinical Domain: The Case of Basque

ByXabier Soto, Olatz Perez-de-Viñaspre, Maite Oronoz, Gorka Labaka

chapter 8|29 pages

Clinical NLP for Drug Safety

ByBhasha Khose, Yashodhara V. Haribhakta

chapter 9|21 pages

Language- and Domain-Independent Approach to Automatic Detection of COVID-19 Fake News

ByÁngel Hernández-Castañeda, René Arnulfo García-Hernández, Yulia Ledeneva, Griselda Areli Matías-Mendoza

chapter 10|31 pages

Employing Computational Linguistics to Improve Patient-Provider Secure Email Exchange: The ECLIPPSE Study

ByRenu Balyan, Danielle S. McNamara, Scott A. Crossley, William Brown, Andrew J. Karter, Dean Schillinger