A Machine Learning Model to Identify Early Stage Symptoms of SARS-Cov-2 Infected Patients
Expert Systems with Applications(2020)
摘要
•Machine learning was used to develop models to predict COVID-19 positive patient.•Features were extracted from patient data using string matching algorithms.•Constructed a novel dataset from unstructured hospitalized patient information.•Used descriptive statistical analysis for frequency calculation of patient symptoms.•Identified significant symptoms of COVID-19 patients using five different ML models.
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关键词
SARS-Cov-2,COVID-19,Coronavirus,Machine learning,Early stage symptom
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