SURVEY ON ACCURACY OF PREDICTIVE BIG DATA ANALYTICS IN HEALTHCARE

The failures in the most of research area, identified that the lack of details about the actionable and the valuable data that conceived actual solutions were the core of the crisis, this was very true in case of the health care industry where even the early diagnoses of a chronic disease could not save a person’s life. This because of the impossibility in the prediction of the individual’s outcomes in the entire population. The evolving new technologies have changed this scenario leveraging the mobile devices and the internet services such as the sensor network and the smart monitors, enhancing the practical healthcare using the predictive modeling acquiring a deeper individual measures. This affords the researches to go through the huge set of data and identify the patterns along with the trends and delivering solutions improvising the medical care, minimizing the cost and he regulating the health admittance, ensuring the safety of human lives. The paper provides the survey on the predictive big data analysis and accuracy it provides in the health care system.

[1]  Anita Raja,et al.  A Blackboard-based Approach Towards Predictive Analytics , 2009, AAAI Spring Symposium: Technosocial Predictive Analytics.

[2]  Jeffrey Dean,et al.  Scalable and accurate deep learning with electronic health records , 2018, npj Digital Medicine.

[3]  Nilima P. Patil,et al.  Comparison of C5.0 & CART Classification algorithms using pruning technique , 2012 .

[4]  Anita Raja,et al.  The Role of Blackboard-Based Reasoning and Visual Analytics in RESIN's Predictive Analysis , 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

[5]  Viju Raghupathi,et al.  Big data analytics in healthcare: promise and potential , 2014, Health Information Science and Systems.

[6]  H. Krumholz Big data and new knowledge in medicine: the thinking, training, and tools needed for a learning health system. , 2014, Health affairs.

[7]  Bijan Raahemi,et al.  Importance of data mining in healthcare: A survey , 2015, 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

[8]  Kayvan Najarian,et al.  Big Data Analytics in Healthcare , 2015, BioMed research international.

[9]  Shweta Kharya,et al.  Using data mining techniques for diagnosis and prognosis of cancer disease , 2012, ArXiv.

[10]  Smys S,et al.  BIG DATA BUSINESS ANALYTICS AS A STRATEGIC ASSET FOR HEALTH CARE INDUSTRY , 2019, Journal of ISMAC.

[11]  P. Deepa Shenoy,et al.  An Efficient Prediction Model for Diabetic Database Using Soft Computing Techniques , 2009, RSFDGrC.

[12]  Krerk Piromsopa,et al.  An analysis of suitable parameters for efficiently applying K-means clustering to large TCPdump data set using Hadoop framework , 2013, 2013 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.

[13]  Patricia A. H. Williams,et al.  Big data in healthcare: What is it used for? , 2014 .

[14]  H. Alharthi,et al.  Healthcare predictive analytics: An overview with a focus on Saudi Arabia. , 2018, Journal of infection and public health.

[15]  Abul Bashar,et al.  SURVEY ON EVOLVING DEEP LEARNING NEURAL NETWORK ARCHITECTURES , 2019, December 2019.

[16]  Valanarasu R Mr SMART AND SECURE IOT AND AI INTEGRATİON FRAMEWORK FOR HOSPITAL ENVİRONMENT , 2019 .

[17]  R. Shantha Mary Joshitta,et al.  Applications of Big Data Analytics for Diagnosing Diabetic Mellitus : Issues and Challenges , 2016 .

[18]  Bruce R. Schatz,et al.  National Surveys of Population Health: Big Data Analytics for Mobile Health Monitors , 2015, Big Data.

[19]  J. Rumsfeld,et al.  Big data analytics to improve cardiovascular care: promise and challenges , 2016, Nature Reviews Cardiology.

[20]  Jennifer S. Raj Dr,et al.  A COMPREHENSIVE SURVEY ON THE COMPUTATIONAL INTELLIGENCE TECHNIQUES AND ITS APPLICATIONS , 2019 .

[21]  Aziz Nasridinov,et al.  A Study on Danger Pattern Prediction Using Data Mining Techniques , 2014 .

[22]  N. Sambasiva Rao,et al.  Survey on clinical prediction models for diabetes prediction , 2017, Journal of Big Data.

[23]  Terry Anthony Byrd,et al.  Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations , 2018 .

[24]  Iwin Thanakumar Joseph S Dr,et al.  SURVEY OF DATA MINING ALGORITHM’S FOR INTELLIGENT COMPUTING SYSTEM , 2019, Journal of Trends in Computer Science and Smart Technology.

[25]  Vasant Dhar,et al.  Data science and prediction , 2012, CACM.