2018 · 81 citations · 2 references
ComputingData ScienceHealth InformaticsGastroenterologyHepatologyMachine LearningClassificationComputer-aided DiagnosisLiver DiseasePredictive Health ModelingRisk PredictionSupport Vector MachinesAccuracyClassification AlgorithmsDiagnostic Prediction ModelsK-nearest NeighborsLogistic RegressionMachine Learning For DiagnosisMachine Learning Prediction ModelsMachine Learning-based Diagnosis
The industry that are providing healthcare is producing a large amount of data. We know that Machine Learning algorithms can also be used to find hidden information for diagnosis and effective decision making. In recent years, Liver disorders have increased rapidly and it is considered to be a very fatal disease in many countries like - Egypt, Moldava etc. For this research paper, the main aim is to predict liver disease using different classification algorithms. The algorithms used for this purpose of work is Logistic Regression, K-Nearest Neighbour and Support Vector Machines. Accuracy score and confusion matrix is used to compare this classification algorithm.
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