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Related Concept Videos

Introduction to Cognitive Psychology01:20

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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
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Related Experiment Video

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Assessment of Social Cognition in Non-human Primates Using a Network of Computerized Automated Learning Device ALDM Test Systems
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Assessment of adjunct cognitive functioning through intake interviews integrated with natural language processing

Toshiharu Igarashi1, Yumi Umeda-Kameyama2, Taro Kojima2

  • 1Department of Human and Engineered Environmental Studies, The University of Tokyo, Kashiwa, Japan.

Frontiers in Medicine
|May 8, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces an interview framework and natural language processing model to estimate cognitive function. Text augmentation significantly improved classification accuracy for cognitive impairment, including dementia and mild cognitive impairment.

Keywords:
cognitive functiondata augmentationgerontologyintake interviewnatural language processing

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Area of Science:

  • Gerontology
  • Artificial Intelligence
  • Clinical Psychology

Background:

  • Cognitive function assessment is crucial for diagnosing neurodegenerative diseases.
  • Traditional methods can be time-consuming and subjective.
  • Developing objective and efficient assessment tools is a priority.

Purpose of the Study:

  • To develop and evaluate an interview framework and natural language processing (NLP) model for estimating cognitive function.
  • To assess the impact of text augmentation on the accuracy of cognitive function classification models.

Main Methods:

  • A 30-question interview framework was designed for psychologists in a hospital setting.
  • A natural language processing model was developed to analyze interview responses.
  • Participants (n=29, aged 72-91) were recruited from the University of Tokyo Hospital.
  • Multilevel and binary classification models were trained using Mini-Mental State Examination (MMSE) results, with and without text augmentation.

Main Results:

  • Text augmentation dramatically improved multilevel classification accuracy from 0.405 to 0.991.
  • Augmented binary classification accuracy reached high levels: 0.972 (moderate/mild dementia), 0.996 (moderate dementia/MCI), and 0.985 (mild dementia/MCI).
  • Unaugmented binary classification accuracies ranged from 0.488 to 0.767.

Conclusions:

  • The developed NLP model with text augmentation shows high accuracy in classifying cognitive function levels.
  • This approach offers a promising, objective, and efficient method for cognitive function assessment in clinical settings.
  • Further validation in larger, diverse populations is warranted to confirm clinical utility.