Savitha, S., Rajiv Kannan, A., & Logeswaran, K. (2022). A Comprehensive Analysis of Machine Learning Algorithms in Diagnosis of Chronic Kidney Disease. In 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-5). IEEE.
https://doi.org/10.1109/icccnt54827.2022.9984275

has been cited by the following article:

• TITLE: Chronic Disease Management through an AI-Powered Application

  AUTHORS: Sabira Arefin

  KEYWORDS: Chronic Disease Management, Artificial Intelligence, Remote Patient Monitoring, Health Technology, Healthcare Innovation

  JOURNAL NAME: Journal of Service Science and Management, Vol.17 No.4, July 16, 2024

  ABSTRACT: The utilization of coaching applications and AI models is described in this article as a novel method of treating chronic illnesses. The program’s objective is to fill current deficiencies in healthcare systems through the provision of continuous and proactive treatment, considering the worldwide prevalence of chronic diseases such as Cardio Vascular Disease (CVD), diabetes, Rheumatoid Arthritis (RA), Chronic Kidney Disease (CKD), Chronic Obstructive Pulmonary Disease (COPD), Alzheimer’s Disease, Hypertension, Osteoarthritis and Asthma. By employing digital therapeutics, an integrated virtual care platform, and artificial intelligence (AI) to monitor symptoms and risk factors, patients are actively engaged in the management of their own healthcare. With the aim of improving health outcomes, lowering healthcare costs, and enhancing patient engagement and treatment plan adherence, this undertaking utilizes remote monitoring capabilities to transform the provision of long-term care. Effective achievement of this revolutionary goal necessitates the collaboration of patients, caregivers, healthcare providers, and technology development teams.