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| Reference | Technique | Description | Year | Type |
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| [79] | Health risk assessment of patient and models of stratification | The study offers a comprehensive review of diverse applications of eHealth and delivers the model of assessing patient health risk and stratification. | 2017 | Journal |
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| [80] | R-programming | The study presented R-programming tool for the analytics of big data and used the features of blood sugar, Glasgow coma rate, pulse rate, respiratory rate, and CNS. With the help of R- programming tools statistical and visual tool, the classification model is developed. | 2017 | Conference |
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| [81] | EVOTION | The aims are to offer a hybrid solution for the patients of hearing loss. A holistic management to the patients of hearing loss is provided with the policies of public health and prevent patients from disease in the future. | 2017 | Conference |
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| [82] | DocDx | The study used formal methods for developing the framework of medical care. The framework consists no programming phase. Sum up the intelligence of the medical; they rehabilitated the pathways of medical to multipartite the directed weighted graph. The autonomous interpreters in the server offer natural language generator pathophysiology questions a doctor would usually ask a patient to know the disease symptoms and signs. | 2018 | Conference |
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| [83] | Apache Spark | The study presents the data processing engine (Apache Spark) positioned in cloud mostly emphasising on employing techniques of machine learning for identifying status of health of patient’s according to the tweets. | 2018 | Journal |
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| [84] | Hadoop framework | The study presents an assessment process based on statistics for analysis of diabetic’s through big data. Various measures of performance such as F-measure and accuracy values are assessed from the projected statistical evaluations through Hadoop framework. | 2018 | Journal |
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| [85] | IoT | With the current overpopulous and technological age, the accessing and processing of fundamental caretakers for the purpose of treatment is a big concern for patients and specifically for the aged patients. The IoT-based applications plays an important role and provide fundamental treatment at the door steps | 2019 | Journal |
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| [86] | Smart HIV/AIDS digital system | A smart HIV/AIDS digital system is developed by gathering the data from numerous sources regarding the mentioned disease. After this, apply the collected data to an explicit location for monitoring the patients of HIV/AIDS in the explicit region. The system and the data eventually support the government, researchers, doctors, patients and many others for appropriate treatments. | 2019 | Conference |
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| [87] | Detecting Parkinson disease | Huge data exist in the form of big data which are produced from different devices such as from the transportation system to healthcare systems and robotics. The sensor is fixed in the affected patient of Parkinson’s. The robot is planned to move with the patients based on the sensor data for communications. Artificial neural network is used for the purpose of detection | 2019 | Journal |
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