Design of an Efficient Model for Psychological Disease Analysis and Prediction Using Machine Learning and Genomic Data Samples

Design of an Efficient Model for Psychological Disease Analysis and Prediction Using Machine Learning and Genomic Data Samples

There is a rapid growth in mental disorders, thus leading to a pressing demand for more sophisticated diagnosis techniques. Clinical assessments and symptomatic analyses for traditional diagnostics suffer from subjectivity, delayed diagnosis, and specificity deficiencies. Therefore, this study devel...

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Bibliographic Details
Main Authors: Alparthi Kumuda, Saroj Kumar Panigrahy
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Big Data and Cognitive Computing
Subjects:
genetic algorithms
genomic data analysis
machine learning
predictive modeling
psychological diseases
scenarios
Online Access:https://www.mdpi.com/2504-2289/9/3/49
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