DEVICE FOR AIDING IN THE PREDICTION OF THE TIME OF EXTUBATION AND METHOD THERE OF

• Main Authors: JUNG YOUNG HWA, YOO SOOYOUNG, CHOI CHANG WON, BAEK HYUNYOUNG, SONG WONGEUN
• Format: Patent
• Language: English; Korean
• Published: 12.06.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; 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

인공지능 기반의 저체중 미숙아의 발관 성공 확률 예측 또는 저체중 미숙아의 발관 시점 예측을 보조하기 위한 방법에 있어서, 저체중 미숙아의 정보 - 환자 정보, 인공 호흡기 정보 및 활력 징후 정보 중 하나 이상을 포함함 - 를 획득하는 단계; 신경망 모델을 이용하여, 상기 저체중 미숙아의 발관 성공 확률을 산출하는 단계; 를 포함하고, 상기 발관 성공 확률이 임계치(threshold) 이상인 경우, 발관 수행을 권장하고, 상기 발관 성공 확률이 임계치 미만인 경우, 인공호흡기 유지를 권장하는 단계를 포함한다. The present invention relates to an artificial intelligence-based method for assisting in predicting the probability of success of extubating a low-birth weight neonate or the time of extubating a low-birth weight neonate, the method comprising the steps of: acquiring information - including at least one of patient information, artificial respirator information, and vital sign information - about the low-birth weight neonate; calculating the probability of success of extubating the low-birth weight neonate by using a neural network model; and recommending performing extubation when the probability of success of extubation is at least a threshold value, and recommending keeping on an artificial respirator when the probability of success of extubation is smaller than the threshold value.