Research Article
Integrated Intelligent Computing Models for Cognitive-Based Neurological Disease Interpretation in Children: A Survey
@ARTICLE{10.4108/eetpht.10.5541, author={Archana Tandon and Bireshwar Dass Mazumdar and Manoj Kumar Pal}, title={Integrated Intelligent Computing Models for Cognitive-Based Neurological Disease Interpretation in Children: A Survey}, journal={EAI Endorsed Transactions on Pervasive Health and Technology}, volume={10}, number={1}, publisher={EAI}, journal_a={PHAT}, year={2024}, month={3}, keywords={Cognitive-based Neurological Diseases, Deep Learning, Natural Language Processing, Speech Recognition, Brain Imaging, Intelligent Computing Model}, doi={10.4108/eetpht.10.5541} }- Archana Tandon
Bireshwar Dass Mazumdar
Manoj Kumar Pal
Year: 2024
Integrated Intelligent Computing Models for Cognitive-Based Neurological Disease Interpretation in Children: A Survey
PHAT
EAI
DOI: 10.4108/eetpht.10.5541
Abstract
INTRODUCTION: This piece of work provides the description of integrated intelligent computing models for the interpretation of cognitive-based neurological diseases in children. These diseases can have a significant impact on children's cognitive and developmental functioning. OBJECTIVES: The research work review the current diagnosis and treatment methods for cognitive based neurological diseases and discusses the potential of machine learning, deep learning, Natural language processing, speech recognition, brain imaging, and signal processing techniques in interpreting the diseases. METHODS: A survey of recent research on integrated intelligent computing models for cognitive-based neurological disease interpretation in children is presented, highlighting the benefits and limitations of these models. RESULTS: The significant of this work provide important implications for healthcare practice and policy, with strengthen diagnosis and treatment of cognitive-based neurological diseases in children. CONCLUSION: This research paper concludes with a discussion of the ethical and legal considerations surrounding the use of intelligent computing models in healthcare, as well as future research directions in this area.
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