Advanced Machine Learning for Preschooler Magnetic Resonance Imaging Analysis in Classification of Anxiety Disorders
Numerous individuals suffer from anxiety disorder. Treatments for anxiety usually involve psychologists and counselors based on qualitative data from interviews and conversations to make an educated guess to classify their anxiety. We built a quantitative method for the diagnosis of anxiety, which c...
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MDPI AG
2025-02-01
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| Series: | Engineering Proceedings |
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| Online Access: | https://www.mdpi.com/2673-4591/89/1/7 |
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| author | Salik Mian Pranav Kunderu Shivm Patel |
| author_facet | Salik Mian Pranav Kunderu Shivm Patel |
| author_sort | Salik Mian |
| collection | DOAJ |
| description | Numerous individuals suffer from anxiety disorder. Treatments for anxiety usually involve psychologists and counselors based on qualitative data from interviews and conversations to make an educated guess to classify their anxiety. We built a quantitative method for the diagnosis of anxiety, which can be used by psychologists and doctors to obtain accurate data to treat it. The data were obtained from OpenNeuro and Magnetic Resonance Imaging (MRI) scan images of preschoolers with different types of anxiety: generalized anxiety and separation anxiety. These data were used to train machine learning models: Support Vector Machines (SVMs), decision trees, and Logistic Regression. The dataset consisted of MRI images. The method was refined until the desired accuracy was obtained. The model can be used to diagnose anxiety disorders for patients to be treated with a personalized approach. |
| format | Article |
| id | doaj-art-4bfa2de77a3b446cb07fc8a0aeafd42c |
| institution | Matheson Library |
| issn | 2673-4591 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Engineering Proceedings |
| spelling | doaj-art-4bfa2de77a3b446cb07fc8a0aeafd42c2025-06-25T13:47:07ZengMDPI AGEngineering Proceedings2673-45912025-02-01891710.3390/engproc2025089007Advanced Machine Learning for Preschooler Magnetic Resonance Imaging Analysis in Classification of Anxiety DisordersSalik Mian0Pranav Kunderu1Shivm Patel2Independent Researcher, Los Angeles, CA 91326, USAIndependent Researcher, Los Angeles, CA 91307, USAMolecular & Cell Biology, University of California, Berkeley, CA 94720, USANumerous individuals suffer from anxiety disorder. Treatments for anxiety usually involve psychologists and counselors based on qualitative data from interviews and conversations to make an educated guess to classify their anxiety. We built a quantitative method for the diagnosis of anxiety, which can be used by psychologists and doctors to obtain accurate data to treat it. The data were obtained from OpenNeuro and Magnetic Resonance Imaging (MRI) scan images of preschoolers with different types of anxiety: generalized anxiety and separation anxiety. These data were used to train machine learning models: Support Vector Machines (SVMs), decision trees, and Logistic Regression. The dataset consisted of MRI images. The method was refined until the desired accuracy was obtained. The model can be used to diagnose anxiety disorders for patients to be treated with a personalized approach.https://www.mdpi.com/2673-4591/89/1/7MRIanxiety disordersupport vector machines (SVMs)decision treeslogistic regressiontransfer learning |
| spellingShingle | Salik Mian Pranav Kunderu Shivm Patel Advanced Machine Learning for Preschooler Magnetic Resonance Imaging Analysis in Classification of Anxiety Disorders Engineering Proceedings MRI anxiety disorder support vector machines (SVMs) decision trees logistic regression transfer learning |
| title | Advanced Machine Learning for Preschooler Magnetic Resonance Imaging Analysis in Classification of Anxiety Disorders |
| title_full | Advanced Machine Learning for Preschooler Magnetic Resonance Imaging Analysis in Classification of Anxiety Disorders |
| title_fullStr | Advanced Machine Learning for Preschooler Magnetic Resonance Imaging Analysis in Classification of Anxiety Disorders |
| title_full_unstemmed | Advanced Machine Learning for Preschooler Magnetic Resonance Imaging Analysis in Classification of Anxiety Disorders |
| title_short | Advanced Machine Learning for Preschooler Magnetic Resonance Imaging Analysis in Classification of Anxiety Disorders |
| title_sort | advanced machine learning for preschooler magnetic resonance imaging analysis in classification of anxiety disorders |
| topic | MRI anxiety disorder support vector machines (SVMs) decision trees logistic regression transfer learning |
| url | https://www.mdpi.com/2673-4591/89/1/7 |
| work_keys_str_mv | AT salikmian advancedmachinelearningforpreschoolermagneticresonanceimaginganalysisinclassificationofanxietydisorders AT pranavkunderu advancedmachinelearningforpreschoolermagneticresonanceimaginganalysisinclassificationofanxietydisorders AT shivmpatel advancedmachinelearningforpreschoolermagneticresonanceimaginganalysisinclassificationofanxietydisorders |