E-LIB Suche - Ergebnisse für: Lee, Seungbo

1

Machine Learning-Based Discrimination of Cardiovascular Out..:

Rhee, Tae-Min ; Ko, Yeon-Kyoung ; Kim, Hyung-Kwan...
JACC: Asia. 4 (2024) 5 - p. 375-386 , 2024

Link: https://doi.org/10.1016/..

2

Non-invasive prediction of massive transfusion during surge..:

Kwon, Doyun ; Mi Jung, Young ; Lee, Hyung-Chul...
Journal of Biomedical Informatics. 156 (2024) - p. 104680 , 2024

Link: https://doi.org/10.1016/..

3

Comparative study of time-frequency transformation methods ..:

Song, Min-Seo ; Lee, Seung-Bo
Frontiers in Signal Processing. 4 (2024) - p. , 2024

Link: https://doi.org/10.3389/..

4

PRISM: Deep metric learning based personal grouping method ..:

Kim, Kyungdo ; Kim, Kwangsoo ; Lee, Seung-Bo
Neurocomputing. 593 (2024) - p. 127805 , 2024

Link: https://doi.org/10.1016/..

5

Using spectral and temporal filters with EEG signal to pred..:

Shin, Youmin ; Hwang, Sungeun ; Lee, Seung-Bo...
Scientific Reports. 13 (2023) 1 - p. , 2023

Link: https://doi.org/10.1038/..

6

Predicting Deterioration from Wearable Sensor Data in Peopl..:

Kang, Jin-Yeong ; Bae, Ye Seul ; Chie, Eui Kyu.
Sensors. 23 (2023) 23 - p. 9597 , 2023

Link: https://doi.org/10.3390/..

7

Menthol excites dural afferent neurons by inhibiting leak K..:

Lee, Seungbo ; Jang, Il-Sung
Neuroscience Letters. 813 (2023) - p. 137427 , 2023

Link: https://doi.org/10.1016/..

8

Development and validation of a machine learning-based fall..:

Heo, Kyu-Nam ; Seok, Jeong Yeon ; Ah, Young-Mi...
BMC Geriatrics. 23 (2023) 1 - p. , 2023

Link: https://doi.org/10.1186/..

9

Machine learning-based prediction model for emergency depar..:

Park, Soyoung ; Lee, Changwoo ; Lee, Seung-Bo.
Scientific Reports. 13 (2023) 1 - p. , 2023

Link: https://doi.org/10.1038/..

10

Real-time prediction of massive transfusion during cesarean..:

Kwon, Do Yun ; Jung, Young Mi ; Lee, Seung-Bo...
American Journal of Obstetrics and Gynecology. 228 (2023) 1 - p. S150-S151 , 2023

Link: https://doi.org/10.1016/..

11

Machine learning model for predicting immediate postoperati..:

Shin, Youmin ; Kim, Yoon Jung ; Jin, Juseong...
Scientific Reports. 13 (2023) 1 - p. , 2023

Link: https://doi.org/10.1038/..

12

Using the Axial Oblique View of Computed Tomography (CT) in..:

Song, Kwang-Soon ; Yon, Chang-Jin ; Heo, Yu-Ran...
Diagnostics. 12 (2022) 8 - p. 1820 , 2022

Link: https://doi.org/10.3390/..

13

Mo1653: IMPROVING CLINICAL DECISIONS ON COMPUTED TOMOGRAPHY..:

Kim, Joo Seong ; Kim, Kyungdo ; Lee, Sang Hyub...
Gastroenterology. 162 (2022) 7 - p. S-843 , 2022

Link: https://doi.org/10.1016/..

14

Predicting Parkinson's disease using gradient boosting deci..:

Lee, Seung-Bo ; Kim, Yong-Jeong ; Hwang, Sungeun...
Parkinsonism & Related Disorders. 95 (2022) - p. 77-85 , 2022

Link: https://doi.org/10.1016/..

15

Residual one-dimensional convolutional neural network for n..:

Yoo, Jaesung ; Yoo, Ilhan ; Youn, Ina...
Computer Methods and Programs in Biomedicine. 226 (2022) - p. 107079 , 2022

Link: https://doi.org/10.1016/..