DEEP LEARNING-BASED SIMPLE URINE FLOW TEST RESULT LEARNING METHOD AND LOWER URINARY TRACT SYMPTOM DIAGNOSIS METHOD

A simple urine flow test result learning method and a lower urinary tract symptom diagnosis method is provided, and more particularly, a simple urine flow test result learning method and a lower urinary tract symptom diagnosis method of training a neural network using simple urine flow test results,...

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Bibliographische Detailangaben
Hauptverfasser:	HAN, Deok Hyun, BANG, Seok Hwan, LEE, Kyu Sung, CHO, Baek Hwan
Format:	Patent
Sprache:	eng
Schlagworte:	DIAGNOSIS HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA HUMAN NECESSITIES HYGIENE IDENTIFICATION INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS MEDICAL OR VETERINARY SCIENCE PHYSICS SURGERY
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Beschreibung
Zusammenfassung:	A simple urine flow test result learning method and a lower urinary tract symptom diagnosis method is provided, and more particularly, a simple urine flow test result learning method and a lower urinary tract symptom diagnosis method of training a neural network using simple urine flow test results, which are non-invasive data, and diagnosing lower urinary tract symptoms using the trained neural network, wherein the lower urinary tract symptom diagnosis method prevents pain and shame from occurring in a patient during a diagnosis process of lower urinary tract symptoms and reduces the risk of secondary infection occurring through an invasive diagnosis method, by generating a trained model using results of a simple urine flow test, which is a non-invasive test method, based on deep learning, and diagnosing lower urinary tract symptoms using the trained model.