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Healthcare sector today generate a large amount of complex data about death cause, disease diagnosis, electronic patient records, etc. In this paper prediction and the causes of death event is done using web mining techniques. In the proposed approach, large-scale digital histories are captured for duration of 18 years from news reports of Queensland Government archive to make real-time predictions...
Wireless Sensor Network is new technology to world and country like India where it can used in Agriculture Sector in India for increasing yield output by providing early prediction of plant diseases and pest. This can be happen by taking raw data from field where WSN network is install and with fitting appropriate machine learning model for this data to get predicted output. This paper gives an idea...
Soft computing in the field of agriculture science is being employed with computer vision techniques in order to detect the diseases in crops to increase the overall yield. A Modified Rotation Kernel Transformation(MRKT) based directional feature extraction scheme is presents to resolve the issues occurring due to shape, color or other deceptive features during plant disease recognition. The MRKT...
A Call Data Record (CDR) is an information structure storing applicable information about a given telephonic activity including a customer of a telephonic framework. A CDR, as a rule, contains spatial and temporal data and it can convey other extra helpful information. The primary motivation of this survey is to investigate the current procedures in call data records so that the specialists can incorporate...
Cardiovascular disease (CVD) is one of the major cause of death in the recent days. The diabetes patients are mostly affected by Cardiovascular disease. An abnormal respiratory rate, heart rate, blood pressure are habitually fundamental sign of CVD. The occurrence of CVD leads to sudden death. So it is need to predict the CVD earlier. The best method of prediction is by using PPG signal. The measurement...
The sufficient information on the web of data calls for an efficient entity resolution techniques in biomedical records, symptom vs. disease where a particular symptom, subjected to ambiguity. There may be several terms that refer to the same symptom. Thus, Entity Resolution becomes an essential task to identify a particular disease, for a given symptom. This work aims at suggesting the best alternate...
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