AIP conference proceedings · 2022 · 10 citations · 11 references
ComputingData ScienceHealth InformaticsClinical Decision SupportMachine LearningStatistical LearningDecision TreesKernel MethodsLiver DiseasePredictive Health ModelingRisk PredictionSupport Vector MachinesAccuracyClassification AlgorithmsDiagnostic Prediction ModelsLogistic RegressionMachine Learning For DiagnosisMachine Learning For HealthcareMachine Learning Prediction ModelsMachine Learning-based Diagnosis
There is a tremendous increment of liver sickness patients as a result of exorbitant utilization of liquor, breathe in of hurtful gases, admission of polluted food, pickles and medications. Therefore lot of burden is put on the doctors to identify a patient whether he is having any liver disease are not .This paper helps to reduce the burden on the doctor by analyzing patients conditions using machine learning techniques[1]. We also make a comparison of few machine learning algorithms like random forest,logistic regression and SVM and compare their accuracy levels in predicting the liver disease.
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Diagnosis of liver diseases using machine learning
Sumedh Sontakke, Jay Lohokare, Reshul Dani · 2017 · 71 citations