[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-117863-en":3,"doc-seo-117863-105":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},117863,34359740700684,"Finn","https://ap-avatar.wpscdn.com/avatar/1f400023980c374ae676?_k=1777273430885731487",8,"Research & Report","Utilizing Machine Learning in Healthcare in an Ethical Fashion","This thesis examines ethical considerations for applying machine learning (ML) solutions in healthcare. It explains core machine learning concepts and the growing adoption of ML across the medical domain. The study critically reviews four selected works, focusing on practical ethical concerns including bias, privacy, accountability, and transparency. From this analysis, it formulates recommendations aimed at guiding responsible design and deployment. The conclusion emphasizes that ethical risks should inform implementation to maximize patient benefit while minimizing harm.","Claremont Colleges  \nScholarship @ Claremont  \n\n| CMC Senior Theses | CMC Student Scholarship |\n| --- | --- |\n| 2023\u003Cbr>Utilizing Machine Learning in Healthcare in an Ethical Fashion Nishka Ayyar\u003Cbr>Follow this and additional works at: [https://scholarship.claremont.edu/cmc_theses](https://scholarship.claremont.edu/cmc_theses)\u003Cbr> Part of the Artificial Intelligence and Robotics Commons, and the Data Science Commons |  |\n\nRecommended Citation  \nAyyar, Nishka, \"Utilizing Machine Learning in Healthcare in an Ethical Fashion\" (2023) . CMC Senior Theses. 3357.  \n[https://scholarship.claremont.edu/cmc_theses/3357](https://scholarship.claremont.edu/cmc_theses/3357)  \nThis Open Access Senior Thesis is brought to you by Scholarship@Claremont. It has been accepted for inclusion in this collection by an authorized administrator. For more information, please contact [scholarship@cuc.claremont.edu](scholarship@cuc.claremont.edu).  \nUtilizing Machine Learning in Healthcare in an Ethical Fashion  \nSubmitted to  \nProfessor Mark Huber  \nBy  \nNishka Ayyar  \nFor  \nSenior Thesis  \nSpring 2023  \n04/24/2023  \nTable of Contents  \nAcknowledgements 3  \nAbstract 4  \nIntroduction 5  \nBackground 6  \nMachine Learning Solutions in Healthcare 10  \nEthical Machine Learning in Healthcare 12  \nMachine Learning in Healthcare 19  \nEthical Limitations of Algorithmic Fairness Solutions in Health Care 21  \nMachine Learning  \nEthical Issues and Artificial Intelligence Technologies in Behavioral 23  \nand Mental Health Care  \nFinal Recommendations 30  \nBenefits of Machine Learning in Healthcare 31  \nConclusion 35  \nReferences 36  \nAcknowledgements  \nI would like to thank Professor Mark Huber for his patience, guidance, and support over not only over the past eight months as my thesis advisor, but the past four years as my academic advisor and professor. I’ve truly enjoyed every class I’ve taken with him, and I attribute my interest in  \ndata science to his wonderful teaching skills.  \nI would also like to thank my parents and sister for their support and love, and for always pushing me to be the best version of myself. Finally, I would like to thank my friends for making  \nthe past four years so exciting and memorable.  \nAbstract  \nThis thesis paper explores the ethical considerations surrounding the use of machine learning (ML) solutions in healthcare. The background section discusses the basics of machine learning techniques and algorithms, and the increasing interest in their utilization in the healthcare sector. The paper then reviews and critically analyzes four studies that highlight concerns related to using ML in healthcare, including issues of bias, privacy, accountability, and transparency. Based on the analysis of these studies, the paper presents several recommendations for addressing these concerns. The paper concludes with a discussion on the potential benefits of using machine learning technology in healthcare. Ultimately, the purpose of this thesis paper is to show that while the ethical concerns around machine in healthcare are significant, they should not deter the development and adoption of such solutions in the sector, but rather inform their design and implementation to maximize their potential benefits while minimizing their risks and harm.  \n1. Introduction  \nThe use of machine learning algorithms in healthcare has gained significant attention in recent years due to their potential to revolutionize various aspects of medical practice. Machine learning techniques, a subset of artificial intelligence (AI), are being increasingly applied to vast amounts of healthcare data, including electronic health records, medical images, genetic data, and wearable sensor data, among others. These algorithms have shown promise in areas such as disease diagnosis, treatment planning, drug discovery, personalized medicine, predictive analytics, and more. However, there are many challenges and limitations associated with the use of machine learning models in healt","cbCaidkTXmKTJqjP","https://ap.wps.com/l/cbCaidkTXmKTJqjP","pdf",476268,1,38,"English","en",105,"# Acknowledgements\n# Abstract\n# Introduction\n# Background\n## Machine Learning Solutions in Healthcare\n## Ethical Machine Learning in Healthcare\n## Machine Learning in Healthcare\n## Ethical Limitations of Algorithmic Fairness Solutions in Health Care\n## Machine Learning Ethics and Artificial Intelligence Technologies in Behavioral and Mental Health Care\n# Final Recommendations\n# Benefits of Machine Learning in Healthcare\n# Conclusion\n# References","[{\"question\":\"What ethical issues does the thesis focus on when using machine learning in healthcare?\",\"answer\":\"The thesis reviews concerns related to bias, privacy, accountability, and transparency in healthcare ML applications.\"},{\"question\":\"How does the thesis build its analysis before proposing recommendations?\",\"answer\":\"It starts with an overview of machine learning foundations and healthcare data types, then critically analyzes four studies across multiple ethical categories.\"},{\"question\":\"What is the thesis’s overall conclusion about adopting machine learning in healthcare?\",\"answer\":\"Ethical concerns are significant, but they should not prevent adoption; they should guide design and implementation to maximize benefits while minimizing risks and harm.\"}]","Utilizing Machine Learning in Healthcare in an Ethical Fashion | PDF",1785680046,96,{"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},"utilizing-machine-learning-in-healthcare-in-an-ethical-fashion","",{"@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/utilizing-machine-learning-in-healthcare-in-an-ethical-fashion/117863/",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","2026-08-02",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What ethical issues does the thesis focus on when using machine learning in healthcare?","Question",{"text":75,"@type":76},"The thesis reviews concerns related to bias, privacy, accountability, and transparency in healthcare ML applications.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How does the thesis build its analysis before proposing recommendations?",{"text":80,"@type":76},"It starts with an overview of machine learning foundations and healthcare data types, then critically analyzes four studies across multiple ethical categories.",{"name":82,"@type":73,"acceptedAnswer":83},"What is the thesis’s overall conclusion about adopting machine learning in healthcare?",{"text":84,"@type":76},"Ethical concerns are significant, but they should not prevent adoption; 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