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Medical Causation In Defining Emotions

EasyChair Preprint no. 5577

7 pagesDate: May 20, 2021

Abstract

Emotions are an important component of human nature, which can describe a person’s health and help find the causes of this condition. Proceeding from this, it becomes obvious that health plays an important role in the formation of one of emotion condition, and in the reverse order, any emotion can describe the state of human health. This approach can provide medical personnel with important information about patients: emotions, state of health and to establish the cause and effect relationships. However, the creation of this model is hampered by the lack of large labeled datasets. Thus, the main goal of this study is to create a dataset that would have information about the emotional state of a person and medical causal relationships that affect the emotional state of a person. We conduct comprehensive data collection and analysis using state-of-the-art models for assessing emotions, medical extractions of creatures, and determination of cause-and-effect relationships.

Keyphrases: cause-effect, eHealth, emotion recognition, Named Entity Recognition

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:5577,
  author = {Gulnara Bektemyssova and Aidos Sabdenov},
  title = {Medical Causation In Defining Emotions},
  howpublished = {EasyChair Preprint no. 5577},

  year = {EasyChair, 2021}}
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