Tuberculosis disease detection using blockchain in the healthcare system

【Author】 Srivastava, Atul Kumar; Srivastava, Mitali

【Source】INTERNATIONAL JOURNAL OF HEALTHCARE TECHNOLOGY AND MANAGEMENT

【影响因子】0.000

【Abstract】Blockchain technology is being employed in a variety of disciplines, including online shopping, industry, medicine, and even government departments. The automated healthcare module is composed of two modules: one that oversees all functions and another that stores data in a central location. Tuberculosis is one of the fastest growing diseases, with an ever-increasing fatality rate all over the world. This research shows how a Blockchain-based system can be used to diagnose tuberculosis disease early using a machine learning algorithm, as well as keep track of patient data for monitoring and medication administration. The system given here can be utilised in the medical community to securely store, process, and communicate patient health data. Seven performance measuring matrices are used to evaluate the model: accuracy, sensitivity, specificity, precision, Matthew correlation coefficient (MCC), F1-score, and ROC. Experimental results show that, for these parameters, LR and KNN provide the best results.

【Keywords】HER; electronic health record; blockchain; tuberculosis disease; machine learning; healthcare system; secure system

【发表时间】2022

【收录时间】2022-10-26

【文献类型】理论模型

【主题类别】

区块链应用-实体经济-医疗领域