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.
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Deep Fake Images and Videos Detection using Deep Learning
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Exploiting Vulnerabilities in Weak CAPTCHA Mechanisms within DVWA
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A Review on Cryptocurrency and its Advancements in Present World
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Investigating Process Scheduling Techniques for Optimal Performance and Energy Efficiency in Operating Systems
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Comparative Analysis for Personality Prediction by Digital Footprints in Social Media
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