A novel word similarity measure method for IoT-enabled Healthcare applications

An Approach Towards Standardization of Ehr with Efficient Accessibility of Data on Demand: A Review

“…Author [8]: Authors have reported an effective cryptosystem aimed at securing the transmission of medical images in an Internet of Healthcare Things (IoHT) environment.The analysis part clearly proves that the sys-tem can be effectively used to encrypt medical images in IoHT framework.Author [9]: Healthcare monitoring framework based on the cloud environment and a big data analytics engine is proposed to precisely store and analyze healthcare data, and to improve the classification accuracy. The results show that the proposed model precisely handles heteroge-neous data and improves the accuracy of health condition classification and drug side effect predictions.Author [10]: Pro-poses a novel method that combines knowledge-graph-based and word-embedding-based similarity measures via word en-tropy.The experimental results show that the proposed method achieves significant improvements over other word similarity measures in terms of the correlation coefficient.Author [11]: This work tries to provide a better and more efficient solution for securing all the health care data that are stored on the cloud, protect health care data from unauthorized access from an unknown source.Author [12]: Presents IoT Device for patient to measure various parameters that include emotions, mood variations, blood pressure, heart rate, skin temperature, and electrocardiogram. Solution is proposed to automate all the patient monitoring activities through Blue Eyes Technology.…”

IoT-Enabled Remote Monitoring Techniques for Healthcare Applications -- An Overview

“…These recommendation systems have to collect sensed data in a secure fashion [19] from various sensors or medical records and reason recommendations depending on the presented contexts. Recently, in [24], authors have proposed a word similarity measure method using learning algorithms which improves the recommendations of selecting online IoT-enabled medical services.…”