Disease-specific data processing: An intelligent digital platform for diabetes based on model prediction and data analysis utilizing big data technology

Abstract

BackgroundArtificial intelligence technology has become a mainstream trend in the development of medical informatization. Because of the complex structure and a large amount of medical data generated in the current medical informatization process, big data technology to assist doctors in scientific research and analysis and obtain high-value information has become indispensable for medical and scientific research.MethodsThis study aims to discuss the architecture of diabetes intelligent digital platform by analyzing existing data mining methods and platform building experience in the medical field, using a large data platform building technology utilizing the Hadoop system, model prediction, and data processing analysis methods based on the principles of statistics and machine learning. We propose three major building mechanisms, namely the medical data integration and governance mechanism (DCM), data sharing and privacy protection mechanism (DPM), and medical application and medical research mechanism (MCM), to break down the barriers between traditional medical research and digital medical research. Additionally, we built an efficient and convenient intelligent diabetes model prediction and data analysis platform for clinical research.ResultsResearch results from this platform are currently applied to medical research at Shanghai T Hospital. In terms of performance, the platform runs smoothly and is capable of handling massive amounts of medical data in real-time. In terms of functions, data acquisition, cleaning, and mining are all integrated into the system. Through a simple and intuitive interface operation, medical and scientific research data can be processed and analyzed conveniently and quickly.ConclusionsThe platform can serve as an auxiliary tool for medical personnel and promote the development of medical informatization and scientific research. Also, the platform may provide the opportunity to deliver evidence-based digital therapeutics and support digital healthcare services for future medicine.

A bibliometric analysis of the advance of artificial intelligence in medicine

“…This trend reflects the growing importance of AI, including its aspects such as machine learning and deep learning, in the medical field. AI technology has become a widespread trend in medical informatization due to the complexity of the structure and the huge amount of medical information generated in the current medical informatization process [49]. AI promises to transform healthcare by providing safety, autonomy, and timely access to care in hard-to-reach areas while reducing administrative burden and physician burnout.…”

Diabetes Monitoring System in Smart Health Cities Based on Big Data Intelligence

“…Many previous research works have been conducted in the field of health care platforms that deal with big data in the cloud and also in diabetes on the cloud, such as [29][30][31][32].…”