Predictive Big Data Analytics in Healthcare

Reddy, A. Rishika; Kumar, P. Suresh

doi:10.1109/cict.2016.129

Cited by 41 publications

(10 citation statements)

References 1 publication

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“…Big data Analytics can be revolutionary in healthcare by performing analysis on data and provide an abundant reference to reform many spheres of health care management such as diagnosis, understanding the side-effects of drugs, analysis related to genome etc [13]. One of the paramount importance of Big Data Analytics is Predictive analytics [14] rendering the sensed amount of data to be utilized for analyzing and predicting outcomes related to individual patients. Thus, the amount of data generated with the help of IoT in the healthcare management systems can further be used to predict various outcomes related to the prediction of diseases, the effect of medicines, etc.…”

Section: Big Data Analyticsmentioning

confidence: 99%

Revolutionary IoT and Big Data in Healthcare: A Predictive Model Analysis

Gautam¹,

Mahajan²,

Zafar³

2021

Proceedings of the 2nd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2020, 27-28 Feb

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Internet of Things (IoT) is emerging as one of the expeditiously thriving technology with an objective to enable a connectivity between everything and entitles the connected "things" to have an efficacious communication with each other. The appellation "Internet of Things" explicates the technologies and various research areas enabling the Internet to be bestowed into the sphere of physical entities. IoT has an extensive number of application domains mainly Traffic management, Healthcare Monitoring, Security, and Daily life (smart city). The advances in technology have provided with low cost sensory devices and rendered easy communication and buffering of data. The IoT has also revolutionized the modern health care management. IoT innovation in the field of healthcare is a collection of heterogeneous computing devices communicating wirelessly with the help of different apps and devices interconnecting the patients and healthcare givers to diagnose, observe, trace and buffer the essential statistics and other important medical documentation. This paper examines the advancements in health care technologies based on IoT and reviews the role of Big Data Analytics in Predictive Model. The paper also divulges how IoT and Big Data can prove to be a game-changer in the field of healthcare and how it is metamorphosing the healthcare management by enhancing the efficiency, reducing the costs involved and streamlining effective patient care.

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Section: Big Data Analyticsmentioning

confidence: 99%

Revolutionary IoT and Big Data in Healthcare: A Predictive Model Analysis

Gautam¹,

Mahajan²,

Zafar³

2021

Proceedings of the 2nd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2020, 27-28 Feb

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show abstract

“…Traditionally, patient's medical records are stored in physical paper files, X‐ray films etc. We need a system that is able to store the health care data in large volumes using an efficient, robust as well as a secured mechanism [47, 48].…”

Section: Encoding Scheme For Data Storage and Retrievalmentioning

confidence: 99%

Encoding scheme for data storage and retrieval on DNA computers

Sharma¹,

Kumar

Gupta

et al. 2020

IET nanobiotechnol.

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“…It also gives a comprehensive overview of different areas of research in the field. There are different powerful tools and techniques which could be utilized towards improving existing healthcare facilities [2].The different methods used to store and retrieve in big data analytics when applied to healthcare is discussed in [3]. Further benefits of using analytics techniques are also illustrated.…”

Section: Introductionmentioning

confidence: 99%

“…Further benefits of using analytics techniques are also illustrated. [3]. The big data analytics could be developed based on different comprehensive broad architectures making use of different open sources such as Hadoop, Apache Strom etc.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Big Data Analytics Based Framework for Premature Recognition of Breast Cancer

Venkatesan*,

Kulkarni,

Menon

et al. 2020

IJITEE

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Healthcare industry is fast growing and expanding in rapid pace. The volume and veracity of data generated in the industry is massive and requires huge storages and handling capability. Big data is empowered with such robust abilities and hence most suitable for handing large amount of data. Further, hese data could be utilized towards building predictive and forecasting models. Breast cancer is a deadly form of cancer majorly affecting women around the globe. The concept of big data and predictive analytics is being explored in the paper towards early diagnosis of breast cancer. This paper surveys various literatures available on application of big data analysis for breast cancer. Subsequently a comprehensive framework is being proposed based on the gaps identified. Different machine learning algorithms which can be applied in the framework is also detailed in the paper. Such frameworks when implemented will greatly help in handling the massive data available and aid in early detection of breast cancer.

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Predictive Big Data Analytics in Healthcare

Cited by 41 publications

References 1 publication

Revolutionary IoT and Big Data in Healthcare: A Predictive Model Analysis

Revolutionary IoT and Big Data in Healthcare: A Predictive Model Analysis

Encoding scheme for data storage and retrieval on DNA computers

A Comprehensive Big Data Analytics Based Framework for Premature Recognition of Breast Cancer

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