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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

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Providing Healthcare-as-a-Service Using Fuzzy Rule Based Big Data Analytics in Cloud Computing.

Anish Jindal, Amit Dua, Neeraj Kumar

IEEE Journal of Biomedical and Health Informatics

|July 12, 2018

Summary

This study introduces a novel fuzzy rule-based classifier for processing big data in remote healthcare applications. The proposed system enhances data classification and decision-making for Healthcare-as-a-Service, improving efficiency in cloud environments.

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Area of Science:

Computer Science
Health Informatics
Artificial Intelligence

Background:

Remote healthcare applications generate vast amounts of big data, posing significant processing challenges.
The heterogeneity and scale of patient data require specialized approaches for effective analysis.

Purpose of the Study:

To present a new fuzzy rule-based classifier for processing big data in remote healthcare.
To enable efficient Healthcare-as-a-Service through improved data classification and decision-making.

Main Methods:

A scheme involving initial cluster formation, big data retrieval, and processing in a cloud environment.
Design of a fuzzy rule-based classifier with membership functions for fuzzification and defuzzification.
Evaluation using metrics like response time, accuracy, computation cost, and classification time.

Main Results:

The proposed scheme demonstrates effectiveness in classifying big data from remote healthcare applications.
The fuzzy rule-based classifier achieves efficient decision-making and data processing.
Performance evaluation confirms the scheme's efficacy across various metrics in a cloud computing setting.

Conclusions:

The developed fuzzy rule-based classifier offers a specialized solution for big data challenges in remote healthcare.
The approach facilitates the provision of Healthcare-as-a-Service with enhanced data management and classification capabilities.
The study validates the proposed scheme's effectiveness and efficiency in cloud-based healthcare big data processing.