[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-123519-en":3,"doc-seo-123519-105":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},123519,13056703020460,"Valentina","https://ap-avatar.wpscdn.com/avatar/be000253dac470eee5d?_k=1778207105932848923",8,"Research & Report","Exploring Blockchain-Based Trust Models in IoT-Driven Healthcare Systems - A Machine Learning Approach","IoT devices are increasingly used in healthcare to monitor patient status, support treatment, and enable additional services. Key obstacles remain data security, confidentiality, and trust, particularly when sensitive medical information moves across distributed networks. Blockchain offers decentralized, immutable, and transparent data integrity, while machine learning strengthens trust models through predictive analytics, anomaly detection, and real-time decision-making. The paper presents integration workflows, case studies, and simulations to support secure, scalable healthcare applications and outlines future research directions.","International Journal of Emerging Research in Applied Medical  \nSciences (IJERAMS)  \nExploring Blockchain-Based Trust Models in IoT-Driven Healthcare Systems:  \nA Machine Learning Approach  \nKarabathula Keerthi  \nVaageswari college of pharmacy, telangana,india  \n[karabathulakkeerthipriya22@gmail.com](karabathulakkeerthipriya22@gmail.com)  \nABSTRACT  \nThe IoT devices are experiencing growth in the healthcare industry as they are being used to track the health status of patients, to treat them and also to perform other functions. However, the IoT-based healthcare system has enormous problems regarding data security, confidentiality, and trust, especially when salient medical information is being transferred across various networks. One of the potential answers to these hiccups is the blockchain technology that is not centralized, immutable and transparent. Together with that, trust models could be enhanced by utilising the capabilities of Machine Learning (ML), through predictive analytics, anomaly detection, and real-time decision-making, which will further increase the security and efficiency of the IoT healthcare system. The article explains the process of the integration of such tools as Blockchain-based trust models, and Machine Learning used in IoT-powered healthcare environments. This research paper aims at developing an efficient solution on how to protect the IoT health networks, open data sharing, and develop confidence between the devices and the healthcare provider and, patients. Using the case studies and simulations, we represent how Blockchain and ML can be applied jointly so that to develop safe, effective, and scalable health applications. The paper also disadvantages and provides a glimpse of what will be done on the future research of using the technologies to enhance the delivery of the healthcare.  \nKeywords: : Machine learning,( IoT ) Healthcare, Blockchain, Trust Models, Healthcare.  \nDOI: [https://doi.org/10.65477/ijerams.v1.i2.05](https://doi.org/10.65477/ijerams.v1.i2.05)  \nThis is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author(s) and the source are properly cited.  \n1. Introduction  \nIn the paper below, the synergy of Blockchain and Machine Learning will be discussed in order to enable the security, trustworthiness, and efficiency of healthcare systems based on the Internet of Things (Chen et al., 2024; Nasayreh et al., 2024) . Integrity of data and its transparency guaranteed by the intervention of Blockchain technology, as well as the possibility of analyzing real-time data and predictions using Machine Learning algorithms, solves the security and trust problem related to this very dynamic industry (Abijaude et al., 2021)(Tauseef et al., 2023) . The introduction will have a  \nbrief literature survey about the increased level of application of the IoT devices in the context of healthcare with regards to monitoring, diagnosing and treatment of patients in the real time. The chapter will show the problems of information security, trust, and privacy in healthcare system based on IoT. It refers to the capacity of the Blockchain to facilitate a safe exchange of data and to establish transparency and Machine Learning to enhance real-time decision-making, predictive analysis and anomaly detection. The research question the paper is about to introduce will be as  \n[https://ijerams.org/](https://ijerams.org/)  \n30  \nfollows, and how might Blockchain-based trust models and Machine Learning be used to complement one another to create a more secure, efficient, and trustful IoT healthcare environment? The purpose of such synergy is to provide better care to patients and resource allocation and the general effectiveness of the health care system through addressing the challenges of data protection and seamless interoperability (Li e","cbCaiq9oDF252ZZ4","https://ap.wps.com/l/cbCaiq9oDF252ZZ4","pdf",1073562,1,6,"English","en",105,"# Introduction\n## Study background\n## Justification","[{\"question\":\"Why do IoT-based healthcare systems face security and trust challenges?\",\"answer\":\"Sensitive medical data is often transferred across multiple networks, creating risks to data security, confidentiality, and trust. These issues become especially critical when accurate and reliable information exchange is required for care.\"},{\"question\":\"How does blockchain technology help in IoT-driven healthcare environments?\",\"answer\":\"Blockchain provides decentralized, immutable, and transparent handling of data integrity. It enables safer data exchange and supports transparency across participating entities.\"},{\"question\":\"What role does machine learning play alongside blockchain in the proposed approach?\",\"answer\":\"Machine learning enhances trust models through predictive analytics, anomaly detection, and real-time decision-making. Together with blockchain, it improves security and the efficiency of IoT healthcare operations.\"}]","Exploring Blockchain-Based Trust Models in IoT-Driven Healthcare Systems - A Machine Learning Approach | PDF",1785817062,15,{"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},"exploring-blockchain-based-trust-models-in-iot-driven-healthcare-systems-a-machine-learning-approach","",{"@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/exploring-blockchain-based-trust-models-in-iot-driven-healthcare-systems-a-machine-learning-approach/123519/",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","2026-08-04",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},"Why do IoT-based healthcare systems face security and trust challenges?","Question",{"text":75,"@type":76},"Sensitive medical data is often transferred across multiple networks, creating risks to data security, confidentiality, and trust. These issues become especially critical when accurate and reliable information exchange is required for care.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How does blockchain technology help in IoT-driven healthcare environments?",{"text":80,"@type":76},"Blockchain provides decentralized, immutable, and transparent handling of data integrity. It enables safer data exchange and supports transparency across participating entities.",{"name":82,"@type":73,"acceptedAnswer":83},"What role does machine learning play alongside blockchain in the proposed approach?",{"text":84,"@type":76},"Machine learning enhances trust models through predictive analytics, anomaly detection, and real-time decision-making. Together with blockchain, it improves security and the efficiency of IoT healthcare operations.","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},[93,97,101,105,110,114,119,122,127,130,134],{"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":108,"slug":109},5,"Comic",60,"comic",{"id":21,"doc_module":4,"doc_module_name":46,"category_name":111,"show_sort_weight":112,"slug":113},"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"]