[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-125254-en":3,"doc-seo-125254-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},125254,687197207057,"Sage","https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0",7,"Healthcare","Machine learning approach for bipolar disorder analysis and recognition based on handwriting digital images","Handwriting can reflect psychological characteristics, making it a potential signal for mental disorders. This study applies image processing to extract handwriting-related features from survey responses of individuals with bipolar disorder. A machine learning model is proposed to classify whether a person has bipolar disorder or not using their handwriting digital images. The approach targets recognition for support in prevention and treatment workflows.","|  | AUT Journal of Mathematics and Computing\u003Cbr>AUT J. Math. Comput., 6(3) (2025) 223-239\u003Cbr>[https://doi.org/10.22060/AJMC.2024.22576.1176](https://doi.org/10.22060/AJMC.2024.22576.1176) |  |  |\n| --- | --- | --- | --- |\n| Original Article\u003Cbr>Machine learning approach for bipolar disorder analysis and recognition based on handwriting digital images\u003Cbr>Ahmadali Jamali*a , Reza Kargara , Shahin Alipour b , Mohsen Rostamy-Malkhalifeha\u003Cbr>a Science and Research Branch, Islamic Azad University (IAU), Tehran, Iran b Department of Biomedical Engineering, University of Houston, USA |  |  |  |\n| ABSTRACT: In some cases, handwriting is a manifestation of the human mind, and it can reveal various psychological characteristics and mental disorders. Among these disorders, bipolar disorder is a well-known and widely studied condition in cognitive science and psychotherapy, and it can be detected in handwriting. In this research, we applied image processing techniques to analyze the handwriting characteristics of people with bipolar disorder based on their responses to a survey. We also proposed a machine learning model that can classify whether a person has bipolar disorder or not by using their handwriting as an input. |  | Review History:\u003Cbr>Received:24 July 2023\u003Cbr>Revised:12 December 2023\u003Cbr>Accepted:14 April 2024\u003Cbr>Available Online:01 July 2025 |  |\n|  |  | Keywords:\u003Cbr>Bipolar disorder Handwriting Image processing Machine learning |  |\n|  |  | MSC (2020):\u003Cbr>62H30; 68T07; 68U10 |  |\n\n1. Introduction  \nOne of the most recent applications of artificial intelligence (AI) is to aim at other science to improve and get better performance, such as complex calculating in mathematics and physics or weather prediction in meteorology and disease analysis, forecasting and prevention in medical science [33, 34] .  \nArrival AI in humanities is a challenging approach because emotional human behavior features are not simple and exact to measure. Finding features of emotional attributes is not as facile as natural science features because instead of material concepts, we are fronted with mental and abstract subjects. Clinical modern psychology encompasses extended mental disorders. Recognizing, prevention, and treatment are the main concern of psychological studies. One of the most substantial topics in mental disorders is Bi-Polar disorder(BD), which is being studied and is well-known as one of the hot topics in psychology and cognitive science. The general symptoms of this disease have been studied in terms of cognitive science and clinical psychology. The recognition of Bipolar disorder is one of  \n*Corresponding author.  \nE-mail addresses: ahmadali.jamali@srbiau, [kargarreza57@yahoo.com](kargarreza57@yahoo.com), [salipour@uh.edu](salipour@uh.edu), [Mohsen](Mohsen Rostamy@yahoo.com)[ ](Mohsen Rostamy@yahoo.com)[Rostamy@yahoo.com](Mohsen Rostamy@yahoo.com)  \n2783-2287/© 2025 The Author(s) . Published by Amirkabir University of Technology Press. This is an open access article under the CC BY license ([https://creativecommons.org/licenses/by/4.0/](https://creativecommons.org/licenses/by/4.0/))  \nA. Jamali et al., AUT J. Math. Comput., 6(3) (2025) 223-239, DOI:10.22060/AJMC.2024.22576.1176  \nthe important studies as help to prevent and treatment of this mental disorder. This type of disorder has been studied and searched by both cognitive science and clinical psychology, moreover, in some cases, there are some computational and statistical methods for mental disorder recognition. In this paper, we intend to introduce a newly proposed method as BD recognizing with AI. As we know, before any disease recognition, we definitely need the symptoms of the disease as attributes, in this research the visual symptoms of BD are the handwriting of the patient. To better understand the problem definition; in the next part of the introduction, we are going to take a look at a short history of BD recognition research and its symptoms then we will express a little ","cbCaifC02FOJLyNM","https://ap.wps.com/l/cbCaifC02FOJLyNM","pdf",945382,1,17,"English","en",105,"# Introduction\n## Related works\n### A review of BD psychology","[{\"question\":\"How does the study use handwriting data for bipolar disorder recognition?\",\"answer\":\"The study treats handwriting as the visual manifestation of bipolar disorder-related symptoms and uses it as the input for classification.\"},{\"question\":\"What methods are applied before machine learning classification?\",\"answer\":\"Image processing techniques are applied to analyze handwriting characteristics and derive usable features from digital handwriting images.\"},{\"question\":\"What is the main objective of the proposed machine learning model?\",\"answer\":\"To classify whether a person has bipolar disorder or not based on their handwriting digital images.\"}]","Machine learning approach for bipolar disorder analysis and recognition based on handwriting digital images | 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