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Found 5 papers, 0 papers with code
A Decision Support System for Liver Diseases Prediction: Integrating Batch Processing, Rule-Based Event Detection and SPARQL Query
Using this SWRL in the ontology for predicting different types of liver disease with the help of the Pellet and Drool inference engines in Protege Tools, a total of 615 records are taken from different liver diseases.
Semantic rule Web-based Diagnosis and Treatment of Vector-Borne Diseases using SWRL rules
Afterwards, Basic Formal Ontology (BFO), National Vector Borne Disease Control Program (NVBDCP) guidelines, and RDF medical data are used to develop ontologies for VBDs, and Semantic Web Rule Language (SWRL) rules are applied for diagnosis and treatment.
Optical Character Recognition
Optical Character Recognition (OCR)
Forecasting COVID- 19 cases using Statistical Models and Ontology-based Semantic Modelling: A real time data analytics approach
), we designed a set of rules using Semantic Web Rule Language and some mathematical models for dealing with COVID19 infected cases on an individual basis.
Empirical Analysis of Lifelog Data using Optimal Feature Selection based Unsupervised Logistic Regression (OFS-ULR) Model with Spark Streaming
Therefore, designing new classifiers for the classification of chronic diseases using lifelog data is the need of the age.
An optimized hybrid solution for IoT based lifestyle disease classification using stress data
Stress, anxiety, and nervousness are all high-risk health states in everyday life.
