JOURNAL ARTICLE

A Clinical Kidney Intelligence Platform Based on Big Data, Artificial Intelligence, and Blockchain Technology

Zon‐Yin ShaeJeffrey J. P. Tsai

Year: 2022 Journal:   International Journal of Artificial Intelligence Tools Vol: 31 (03)   Publisher: World Scientific

Abstract

The high prevalence and incidence of end-stage rental disease (ESRD) and the difficulty in the early predicting the acute kidney injury (AKI) event highlights the limits of existing kidney care model, particularly the fragmented care and fractured data. The era of medical big data and artificial intelligence (AI) opens an opportunity to fill these knowledge and practice gaps. To obtain multi-dimensional view of the profiles of patients receiving dialysis, we propose to provide coherent care services and to actively collect patients’ multi-faceted information from home and hospital (e.g., photos of diets, sleep duration, or dermatologic manifestations). Furthermore, by introducing the blockchain in the infrastructure to enable the trustable medical exchange and effectively creates a large set of distributed medical data lake from various participated hospitals. We will introduce the medical coin, a virtual token, to vitalize digital service within the blockchain and create common interests among data generators, data vendors, and data users.We aim to create business models on top of its therapeutic effectiveness and unlock the academic and commercial value of medical data ecosystem.

Keywords:
Blockchain Computer science Big data Data science Service (business) Artificial intelligence Computer security Data mining

Metrics

2
Cited By
0.76
FWCI (Field Weighted Citation Impact)
0
Refs
0.72
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Blockchain Technology Applications and Security
Physical Sciences →  Computer Science →  Information Systems
Artificial Intelligence in Healthcare
Health Sciences →  Health Professions →  Health Information Management

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