Blockchain has penetrated numerous domains such as, industries, government agencies, online voting, and healthcare, etc. Among these domains, healthcare is one of the trending and most important one, which consists of a control system and an Electronic Health Records (EHRs). Diabetes is one of the most rapidly growing chronic diseases that increases the death ratio across the globe. This paper presents a Blockchain-enabled diabetes disease detection framework that provides an earlier detection of this disease by using various machine learning classification algorithms and maintains the EHRs of the patients in a secure manner. Our EHRs sharing framework combines symptom-based disease prediction, Blockchain, and interplanetary file system (IPFS) in which the patient's health information are collected via wearable sensor devices. This information is then sent to EHRs manager, where an ML model is executed for further processing to collect the desired results. The results along with the physiological parameters are then stored in the Blockchain with the approval of concerned patient and his/her practitioner. It is anticipated that our proposed system will help the healthcare society in order to store, process, and share the patient health information in a secure manner.

区块链已渗透到众多领域，例如行业，政府机构，在线投票和医疗保健等。在这些领域中，医疗保健是趋势之一，也是最重要的领域，它由控制系统和电子健康记录（EHR）组成。糖尿病是增长最快的死亡率的慢性疾病之一，在全球范围内。本文提出了一种启用了区块链的糖尿病疾病检测框架，该框架通过使用各种机器学习分类算法提供对该疾病的早期检测，并以安全的方式维护患者的EHR。我们的EHR共享框架结合了基于症状的疾病预测，区块链和行星际文件系统（IPFS），其中可穿戴式传感器设备收集了患者的健康信息。然后将此信息发送到EHRs管理器，在其中执行ML模型以进行进一步处理以收集所需结果。然后，在相关患者及其执业医师的批准下，将结果以及生理参数存储在区块链中。可以预期，我们提出的系统将帮助医疗保健协会以安全的方式存储，处理和共享患者健康信息。