Concept and Proof of the Lifelog Bigdata Platform for Digital Healthcare and Precision Medicine on the Cloud

Abstract

Purpose We propose the Lifelog Bigdata Platform as a sustainable digital healthcare system based on individual-centric lifelog datasets and describe the standardization of lifelog and clinical data in its full-cycle management system. Materials and Methods The Lifelog Bigdata Platform was developed by Yonsei Wonju Health System on the cloud to support digital healthcare and precision medicine. It consists of five core components: data acquisition system, de-identification of individual information, lifelog integration, analyzer, and service. We designed a gathering system into a dedicated virtual machine to save lifelog or clinical outcomes and established standard guidelines for maintaining the quality of gathering procedures. We used standard integration keys to integrate the lifelog and clinical data. Metadata were generated from the data warehouse after loading combined or fragmented data on it. We analyzed the de-identified lifelog and clinical data using the lifelog analyzer to prevent and manage acute and chronic diseases through providing results of statistics on analysis. Results The big data centers were built in four hospitals and seven companies for integrating lifelog and clinical data to develop the Lifelog Bigdata Platform. We integrated and loaded lifelog big data and clinical data for 3 years. In the first year, we uploaded 94 types of data on the platform with a total capacity of 221 GB. Conclusion The Lifelog Bigdata Platform is the first to combine lifelog and clinical data. The proposed standardization guidelines can be used for future platforms to achieve a virtuous cycle structure of lifelogging big data and an industrial ecosystem.

Development and Validation of a Clinic Machine Learning Classifier for the Prediction of Risk Stratifications of Prostate Cancer Bone Metastasis Progression to Castration Resistance

“…Currently, it has been widely applied in the processing of big data information and numerous heterogeneous data in medical research. 14 Currently, there are many studies on predictive models for prostate cancer bone metastasis both domestically and internationally. [15][16][17] However, due to limitations in sample size and research methods, there are significant differences and limitations between different studies.…”

Diffusion of a Lifelog-Based Digital Healthcare Platform for Future Precision Medicine: Data Provision and Verification Study

“…Lifelogs are real-world data of daily lives recorded and stored on personal devices, portable storage systems, or in the cloud. Lifelogging involves a series of procedures that collect and process data through sensors and smart devices [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 ]. A personal health record is considered a dataset consisting of an individual’s lifelog as well as a hospital’s clinical data.…”

“…In addition, for the diffusion of digital healthcare platforms, the quality of data must be assured through purification and consistency verification. We have already developed a concept and proof for big data-based platforms that utilize lifestyle and medical information, and they are operational [ 1 ].…”