Method for predicting the risk of developing severe illness in a COVID-19 patient by artificial intelligence using chest X-rays

The present invention provides a method for building a deep learning module for predicting the risk of developing severe illness in a COVID-19 patient, comprising providing chest X-ray images of multiple COVID-19 patients, preprocessing the images before extracting feature vectors from each image to...

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Bibliographische Detailangaben
Hauptverfasser:	WANG, JIAING, HSU, YIIUNG, LE, THI PHUONG, PHAM, BACH TUNG, WU, CHIH-WEI
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTING COUNTING DIAGNOSIS ELECTRIC DIGITAL DATA PROCESSING 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:	The present invention provides a method for building a deep learning module for predicting the risk of developing severe illness in a COVID-19 patient, comprising providing chest X-ray images of multiple COVID-19 patients, preprocessing the images before extracting feature vectors from each image to train a deep learning model to generate a deep learning module for predicting the risk of developing severe illness in a COVID-19 patient. The present invention also provides a method for predicting the risk of developing a severe illness in a COVID-19 patient, comprising providing at least one chest X-ray image of the patient, and inputting the image into the deep learning module build by the aforementioned method for analysis to predict the risk of developing severe illness in the patient.