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Shim, Y.
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Shim, Y.
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Shim, Y.
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1
A novel approach to predicting the synergy of anti-cancer drug combinations using document-based feature extraction
by
Kim, H.-G
,
Kim, P.-J
,
Lee, M.
,
Shim
,
Y
.
Published 2022
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Article
2
A middle rate of failed extubation is desirable?: Questions unanswered (reply).
by
Kapnadak, Siddhartha G
,
Herndon, Steve E
,
Burns, Suzanne M
,
Shim
,
Y
Michael
,
Enfield, Kyle
,
Brown, Cynthia
,
Truwit, Jonathon D
,
Vinayak, Ajeet G
Published 2016
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Article
3
Risk Factors for the Development of Nontuberculous Mycobacteria Pulmonary Disease during Long-Term Follow-Up after Lung Cancer Surgery
by
Cho, J.H
,
Choi, Y.S
,
Jeong, B.-H
,
Kim, B.-G
,
Kim, H.
,
Kim, H.K
,
Kim, J.
,
Lee, K.
,
Shim
,
Y
.M
,
Shin, S.H
,
Um, S.-W
Published 2022
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Article
4
Machine learning assisted synthesis of lithium-ion batteries cathode materials
by
Agar, J.C
,
Bang, K.
,
Baucour, A.
,
Byon, H.R
,
Cho, E.
,
Cho, S.
,
Choe, J.
,
Hong, S.
,
Hwang, G.
,
Kang, H.
,
Kim, S.
,
Lee, H.M
,
Lee, Y.
,
Liow, C.H
,
Na, M.
,
Park, G.
,
Shim
,
Y
.
,
Shin, J.
,
Yeom, J.
,
Yuk, J.M
Published 2022
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Related Subjects
Machine learning
Anti-cancer drug combination
Anticancer drug
Cathodes
Cathodes material
Cell culture
Cell lines
Clusterings
Data mining
Deep learning
Descriptors
Design spaces
Design-to-device pipeline
Diseases
Document-based
Document-based feature extraction
Domain experts
Drug combinations
Drug interactions
Drug synergy
Extraction
Feature extraction
Features extraction
Forecasting
Inverse design
Inverse designs
Inverse problems
Learning algorithms
Lithium-ion batteries
NCM cathode
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