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2 김록영, "입원 환자 표본 개발에 관한 연구: 국민건강보험 청구자료를 중심으로" 한국보건행정학회 23 (23): 152-161, 2013
3 박선희, "의료기관에서의 다제내성균 관리" 대한의사협회 61 (61): 26-35, 2018
4 노준호, "워드넷 기반 특징 추상화를 통한 웹문서 자동분류시스템의 성능향상" 한국전자거래학회 18 (18): 95-110, 2013
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8 Van der Laan, M. J., "Super Learner" 6 (6): 2007
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1 송재훈, "항생제 내성의 국내 현황 및 대책" 대한내과학회 77 (77): 143-151, 2009
2 김록영, "입원 환자 표본 개발에 관한 연구: 국민건강보험 청구자료를 중심으로" 한국보건행정학회 23 (23): 152-161, 2013
3 박선희, "의료기관에서의 다제내성균 관리" 대한의사협회 61 (61): 26-35, 2018
4 노준호, "워드넷 기반 특징 추상화를 통한 웹문서 자동분류시스템의 성능향상" 한국전자거래학회 18 (18): 95-110, 2013
5 최재원, "개인화 추천시스템의 사용자 평가에 대한 통합적 접근 : 시스템 성과와 사용자 태도를 기반으로" 한국전자거래학회 17 (17): 85-103, 2012
6 Kim, Y. H., "The Forecast of Future Technology Based on Deep Learning" 219-220, 2015
7 Polley, E. C., "Super Learner in Prediction" U.C. Berkeley Division of Biostatistics 1-19, 2010
8 Van der Laan, M. J., "Super Learner" 6 (6): 2007
9 Omlin, C. W., "Stable Encoding of Large Finite-State Automata in Recurrent Neural Networks with Sigmoid Discriminants" 8 (8): 675-696, 1996
10 Rajkomar, A., "Scalable and accurate deep learning with electronic health records" 1 (1): 18-, 2018
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18 Zhang, M., "Matrix Factorization meets Social Network Embedding for Rating Prediction" Springer 121-129, 2018
19 Koren, Y., "Matrix Factorization Techniques for Recommender Systems" 42 (42): 30-37, 2009
20 Fonarev, A., "Matrix Factorization Methods For Training Embeddings"
21 Ho, J. C., "Marble:High-throughput Phenotyping from Electronic Health Records via Sparse Nonnegative Tensor Factorization" ACM 115-124, 2014
22 Yang, Y., "Machine learning for healthcare technologies" IET 203-226, 2016
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24 Dumais, S. T., "Latent semantic analysis" 38 (38): 188-230, 2004
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26 Gamallo, P., "Is Singular Value Decomposition Useful for Word Similarity Extraction?" 45 (45): 95-119, 2011
27 Krizhevsky, A., "ImageNet Classification with Deep Convolutional Neural Networks" Curran Associates Inc 1 : 1097-1105, 2012
28 Liang, D., "Factorization Meets the Item Embedding: Regularizing Matrix Factorization with Item Co-occurrence" ACM 59-66, 2016
29 Bullinaria, J. A., "Extracting semantic representations from word co-occurrence statistics: stop-lists, stemming, and SVD" 44 (44): 890-907, 2012
30 Mikolov, T., "Distributed Representations of Words and Phrases and Their Compositionality" Curran Associates Inc 2 : 3111-3119, 2013
31 Arango-Argoty, G., "DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data" 6 (6): 23-, 2018
32 Young, S., "Deep super learner: A deep ensemble for classification problems" 84-95, 2018
33 Chen, M. L., "Deep Learning Predicts Tuberculosis Drug Resistance Status from Whole-Genome Sequencing Data"
34 Xiang, T., "Computational Phenotyping of Two-Person Interactions Reveals Differential Neural Response to Depth-of-Thought" 8 (8): e1002841-, 2012
35 Chung, J., "Combination therapy with polymyxin B and netropsin against clinical isolates of multidrug-resistant Acinetobacter baumannii" 6 : 28168-, 2016
36 Purushotham, S., "Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets"
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