Deep Learning for Drawing Insights from Patient Data for Diagnosis and Treatment

Research output: A Conference proceeding or a Chapter in BookChapterpeer-review

Abstract

The world is experiencing a technological revolution where people have begun to use digital technology in most facets of their life to make their work easier, for entertainment and education, to monitor their health conditions and for assistive driving using self-driving cars, to name a few. Not only using such technologies make our work easier, but they also capable of collecting data on our activities, actions and conditions. This has led to the enormous growth of both structured and unstructured data in formats such as text, images and video for many domains of our life. This data explosion has challenged the research community into finding appropriate methods and algorithms to extract patterns and insights from this abundance of data.

Original languageEnglish
Title of host publicationArtificial Intelligence Applications in Healthcare Delivery
EditorsSandeep Reddy
Place of PublicationUnited Kingdom
PublisherTaylor & Francis
Chapter6
Pages109-117
Number of pages9
Edition1
ISBN (Electronic)9780429317415
ISBN (Print)9780367321512
Publication statusPublished - 3 Dec 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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