[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-121176-en":3,"doc-seo-121176-105":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":20,"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},121176,687197207639,"Asher","https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd",8,"Research & Report","Revolutionizing Financial Health Predictions - The Integration of GenAI and Advanced Machine Learning Techniques","Revolutionizing Financial Health Predictions presents an experimental study that integrates generative AI (GenAI) with advanced machine learning to improve predictive accuracy and model robustness in financial health forecasting. The research addresses a literature gap by implementing GenAI in financial well-being prediction, not just traditional pattern recognition models. Findings highlight the alignment between GenAI and quantitative models, supporting earlier identification of fraud and financial difficulties. The work also proposes mixed-method risk measurement for future research.","Revolutionizing Financial Health Predictions:  \nThe Integration of GenAI and Advanced Machine Learning Techniques  \nKarina Kasztelnik  \nTennessee State University  \nSteven Campbell  \nTennessee State University  \nIntegrating Generative AI (GenAI) and advanced machine learning techniques into financial health predictions represents a revolutionary approach to financial technology. While prior research has incorporated machine learning and artificial intelligence into financial analysis, GenAI has not yet been incorporated into financial models. Our comprehensive experimental study aims to bridge this gap by harnessing the advanced capabilities of Generative AI to improve predictive accuracy and model robustness. The distinctive contribution of this study lies in its utilization of Generative AI, which offers novel insights and methodologies that traditional machine-learning techniques do not provide. A key discovery of this study is the alignment of Generative AI with quantitative models, revealing the potential to identify fraud and financial difficulties that stakeholders should consider before making investment decisions. Moreover, the study proposes that a mixed-method approach could be beneficial for future research in risk measurement. These unique and novel findings highlight that traditional methods would not have been able to uncover such insights. This research provides robust and interpretable financial assessments and contributes valuable knowledge to financial technology, showcasing the innovative application of Generative AI in financial health predictions.  \nKeywords: generative AI, machine learning, financial health predictions, financial technology, predictive models, financial market analysis, risk management, healthcare outcomes  \nINTRODUCTION  \nThe financial industry has experienced a substantial transformation due to the rise of advanced technologies such as machine learning and artificial intelligence (AI) . These innovations have greatly impacted various financial analysis, forecasting, and decision-making aspects, providing unparalleled precision and efficiency. One significant advancement, Generative AI (GenAI), holds the potential to revolutionize predictions of financial health.  \nUnlike conventional machine learning methods that primarily focus on pattern recognition and predictive modeling, Generative AI can generate new data and insights, offering a deeper comprehension of financial phenomena. Accurate predictions of financial health are essential for stakeholders such as investors, policymakers, and financial institutions, as they offer crucial insights into the stability and sustainability of financial entities. Precise predictions empower stakeholders to make well-informed  \ndecisions, effectively manage risks, and identify potential opportunities. However, traditional financial prediction models have limitations in capturing the complexity and dynamics of financial systems. These models often struggle to identify subtle patterns and anomalies, leading to incomplete or inaccurate predictions.  \nThis study aims to address these limitations by integrating Generative AI with advanced machine learning techniques to enhance the accuracy and reliability of financial health predictions. The primary goal is to develop predictive models that can comprehensively evaluate financial health, incorporating a wide array of financial indicators, including macroeconomic factors, industry trends, and historical financial data. The research aims to address the gap in academic literature regarding the practical implementation of Generative AI in forecasting financial well-being. While there is a wealth of literature on using machine learning and AI in financial analysis, the incorporation of Generative AI remains relatively unexplored. This study endeavors to bridge this gap by harnessing the unique capabilities of Generative AI to generate novel insights and methodologies that conventional approaches cannot offer. ","cbCaiiOkAMKIHYmy","https://ap.wps.com/l/cbCaiiOkAMKIHYmy","pdf",576874,1,24,"English","en",105,"# Introduction\n# Literature Review","[{\"question\":\"What gap does the study address in financial health prediction research?\",\"answer\":\"GenAI has been relatively unexplored in financial forecasting models. The study bridges this gap by implementing real GenAI to generate novel insights for forecasting financial well-being.\"},{\"question\":\"How does GenAI differ from conventional machine learning in this context?\",\"answer\":\"Conventional methods mainly perform pattern recognition and predictive modeling, while GenAI can generate new data and insights, offering deeper comprehension of financial phenomena.\"},{\"question\":\"What practical value do the study’s results provide to stakeholders?\",\"answer\":\"The study suggests that GenAI aligned with quantitative models can help identify fraud and financial difficulties earlier, enabling better risk management and more informed investment decisions.\"}]","Revolutionizing Financial Health Predictions - The Integration of GenAI and Advanced Machine Learning Techniques | PDF",1785734218,60,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"revolutionizing-financial-health-predictions-the-integration-of-genai-and-advanced-machine-learning-techniques","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/revolutionizing-financial-health-predictions-the-integration-of-genai-and-advanced-machine-learning-techniques/121176/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-03",true,{"@type":65,"interactionType":66,"userInteractionCount":20},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What gap does the study address in financial health prediction research?","Question",{"text":75,"@type":76},"GenAI has been relatively unexplored in financial forecasting models. The study bridges this gap by implementing real GenAI to generate novel insights for forecasting financial well-being.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How does GenAI differ from conventional machine learning in this context?",{"text":80,"@type":76},"Conventional methods mainly perform pattern recognition and predictive modeling, while GenAI can generate new data and insights, offering deeper comprehension of financial phenomena.",{"name":82,"@type":73,"acceptedAnswer":83},"What practical value do the study’s results provide to stakeholders?",{"text":84,"@type":76},"The study suggests that GenAI aligned with quantitative models can help identify fraud and financial difficulties earlier, enabling better risk management and more informed investment decisions.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,109,114,119,122,127,130,134],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":29,"slug":108},5,"Comic","comic",{"id":110,"doc_module":4,"doc_module_name":46,"category_name":111,"show_sort_weight":112,"slug":113},6,"Technology",50,"technology",{"id":115,"doc_module":4,"doc_module_name":46,"category_name":116,"show_sort_weight":117,"slug":118},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":120,"slug":121},30,"research-report",{"id":123,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":125,"slug":126},9,"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":125,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":106,"slug":137},19,"General","general"]