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KUMEL Repository

Browsing by 저자 : Lee, Seung Bo

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전체 결과 10건 중 1-10 번을 표시중입니다.

1 Article A machine learning approach for predicting suicidal ideation in post stroke patients 이승보 2022
2 Article Detection of Depression and Suicide Risk Based on Text From Clinical Interviews Using Machine Learning: Possibility of a New Objective Diagnostic Marker 이승보 2022
3 Article Development and validation of a machine learning-based fall-related injury risk prediction model using nationwide claims database in Korean community-dwelling older population 이승보 2023
4 Article Machine learning model for predicting immediate postoperative desaturation using spirometry signal data 이승보 2023
5 Article Machine Learning-Based Discriminationof Cardiovascular Outcomes in Patients With HypertrophicCardiomyopathy 이승보 2024
6 Article Machine learning-based prediction model for emergency department visits using prescription information in community-dwelling non-cancer older adults 이승보 2023
7 Article Non-invasive prediction of massive transfusion during surgery using intraoperative hemodynamic monitoring data 이승보 2024
8 Article Predicting Deterioration from Wearable Sensor Data in People with Mild COVID-19 이승보 2023
9 Article Residual one-dimensional convolutional neural network for neuromuscular disorder classification from needle electromyography signals with explainability 이승보 2022
10 Article Using spectral and temporal filters with EEG signal to predict the temporal lobe epilepsy outcome after antiseizure medication via machine learning 이승보 2023

OAK KUMEL Repository는 국립중앙도서관 OAK Repository 보급사업으로 구축되었습니다.