Survey on Big Data Analytics in Health Care

Saranya, P.; Asha, P.

doi:10.1109/icssit46314.2019.8987882

Cited by 36 publications

(14 citation statements)

References 25 publications

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“…[24] consider Variety as the third characteristic. Same was noticed in the "Health Care" sector when Saranya and Asha [22] introduce Variability in the 5 V's instead of "Variety" the usual forth characteristic.…”

Section: Resultsmentioning

confidence: 76%

Big Data Characteristics (V’s) in Industry

Saeed

Husamaldin

2021

IJOIR

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In the new digital age, Data is the collection of the observation and facts in terms of events, thus data is continuously growing, getting denser and more varied by the minute across multiple channels. Nowadays, consumers generate mass amounts of data on a daily basis. Hence, Big Data (BD) emerged and is evolving rapidly, the various types of data being processed are huge, and ensuring that this data is being used efficiently is becoming increasingly more difficult. BD has been differentiated into several characteristics (the V’s) and many researchers have been developing more characteristics for new purposes over the past years. Therefore, it is shown from observation that there is a clear gap between researchers about the current status of the BD characteristics. Even after the introduction of newer characteristics, many papers are still proposing the use of 3 or 5 V’s, while some researchers are far more progressed and has reached up to 10V’s. This paper will provide an overview of the main characteristics that have been added over time and investigate the recent growth of Big Data Analytics (BDA) characteristics in each industry sector which will provide some detailed and general scope for most researchers to consider and learn from.

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Section: Resultsmentioning

confidence: 76%

Big Data Characteristics (V’s) in Industry

Saeed

Husamaldin

2021

IJOIR

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“…The EHR documents a range of data on health informatics, along with race, health status, allergies as well as drugs, vaccinations, clinical test results, and private data such as fitness level. Centered on IOT, Sanjeevani EHR has been used to hold clinical data from patients [2].…”

Section: Big Data Analytics In Maintaining Healthcare Datamentioning

confidence: 99%

“…SVM and KNN can be inferred to be ideal for predicting the disease. P. Saranya and Dr. P. Asha in [2] presented a Lung cancer, which It is a lethal disease which has an elevated mortality rate, and it raises the need for disease prediction. Hybrid vector support system K means, profound preparation, supervised learning models and fusion are other algorithms that are commonly used to improve accuracy and sensitivity.…”

Section: Analysis Of Different Machine Algorithms In Healthcare Sectormentioning

confidence: 99%

Big Data Analytics in Healthcare using Machine Learning Algorithms: A Comparative Study

Akundi

Soujanya

2020

Int. J. Onl. Eng.

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In recent years vast quantities of data have been managed in various ways of medical applications and multiple organizations worldwide have developed this type of data and, together, these heterogeneous data are called big data. Data with other characteristics, quantity, speed and variety are the word big data. The healthcare sector has faced the need to handle the large data from different sources, renowned for generating large amounts of heterogeneous data. We can use the Big Data analysis to make proper decision in the health system by tweaking some of the current machine learning algorithms. If we have a large amount of knowledge that we want to predict or identify patterns, master learning would be the way forward. In this article, a brief overview of the Big Data, functionality and ways of Big data analytics are presented, which play an important role and affect healthcare information technology significantly. Within this paper we have presented a comparative study of algorithms for machine learning. We need to make effective use of all the current machine learning algorithms to anticipate accurate outcomes in the world of nursing.

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“…Due to the recent technological advancements, the field of medical sciences has seen a remarkable improvement over time [3,4]. Specially, machine learning (ML) has been widely used in the field of cardiovascular medicine and has established a potential space [5].…”

Section: Introductionmentioning

confidence: 99%

Analyzing the impact of feature selection on the accuracy of heart disease prediction

Pathan¹,

Nag²,

Pathan³

et al. 2022

Preprint

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Heart Disease has become one of the most serious diseases that has a significant impact on human life. It has emerged as one of the leading causes of mortality among the people across the globe during the last decade. In order to prevent patients from further damage, an accurate diagnosis of heart disease on time is an essential factor. Recently we have seen the usage of noninvasive medical procedures, such as artificial intelligence-based techniques in the field of medical. Specially machine learning employs several algorithms

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Survey on Big Data Analytics in Health Care

Cited by 36 publications

References 25 publications

Big Data Characteristics (V’s) in Industry

Big Data Characteristics (V’s) in Industry

Big Data Analytics in Healthcare using Machine Learning Algorithms: A Comparative Study

Analyzing the impact of feature selection on the accuracy of heart disease prediction

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