20212021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)Requires access

Big Data and Machine Learning in Healthcare: Tools & Challenges

Kanika Pahwa, Sharad Chauhan

Open publisher page 4 citations

Abstract

Normally healthcare is said to be information rich and to extract hidden data from such information-rich industry is difficult. It becomes necessary for healthcare informatics to deal with the advancement in technology and big data. This can be done by changing three core areas namely, to manage record electronically, integrate big data and computer-aided diagnosis. To resolve the mentioned challenges machine learning provides a range of techniques, algorithm, and different frameworks. This paper focuses on handling big data of health care to predict disease using machine leaning approaches.

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What this paper is about

Normally healthcare is said to be information rich and to extract hidden data from such information-rich industry is difficult. It becomes necessary for healthcare informatics to deal with the advancement in technology and big data. This can be done by changing three core areas namely, to manage record electronically, integrate big data and computer-aided diagnosis. To resolve the mentioned challenges machine learning provides a range of techniques, algorithm, and different frameworks. This paper focuses on handling big data of health care to predict disease using machine leaning approaches.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Normally healthcare is said to be information rich and to extract hidden data from such information-rich industry is difficult. It becomes necessary for healthcare informatics to deal with the advancement in technology and big data. This can be done by changing three core areas namely, to manage record electronically, integrate big data and computer-aided diagnosis. To resolve the mentioned challenges machine learning provides a range of techniques, algorithm, and different frameworks. This paper focuses on handling big data of health care to predict disease using machine leaning approaches.

Key concepts: Big data, Computer science, Health care, Data science, Informatics, Health informatics, Healthcare industry, Core (optical fiber)

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