Lukman Heryawan
ABSTRACT
MeSH stands for Medical Subject Heading. MeSH is a thorough mastery for cataloging books and articles in the biomedical literature. MeSH works as a dictionary that facilitates searching and retrieving information in the biomedical realm. Currently, a human indexer manually indexes articles and books in biomedical literature using the MeSH vocabulary. The problem with using a human indexer is that the indexation process takes a long time and is expensive. Therefore, the indexation developed is automated, which is developed in this study using MeSH vocabulary with predictors based on machine learning and supervised deep learning. The study found that the F1-Score of the deep learning indexation model was superior compared to the machine learning used as the baseline model in predicting the indexation.
- Bodenreider, Olivier, "The NLM value set authority center." Studies in health technology and informatics 192 (2013): 1224.Google Scholar
- Lu, Zhiyong. "PubMed and beyond: a survey of web tools for searching biomedical literature." Database 2011 (2011).Google Scholar
- Nusinovici, Simon, "Logistic regression was as good as machine learning for predicting major chronic diseases." Journal of clinical epidemiology 122 (2020): 56-69.Google ScholarCross Ref
- DiPietro, Robert, and Gregory D. Hager. "Deep learning: RNNs and LSTM." Handbook of medical image computing and computer assisted intervention. Academic Press, 2020. 503-519.Google Scholar
- Mao, Yuqing, and Zhiyong Lu. "MeSH Now: automatic MeSH indexing at PubMed scale via learning to rank." Journal of biomedical semantics 8.1 (2017): 1-9.Google ScholarCross Ref
- Liu, Ke, "MeSHLabeler: improving the accuracy of large-scale MeSH indexing by integrating diverse evidence." Bioinformatics 31.12 (2015): i339-i347.Google ScholarCross Ref
- Yepes, Antonio Jose Jimeno, "Comparison and combination of several MeSH indexing approaches." AMIA annual symposium proceedings. Vol. 2013. American Medical Informatics Association, 2013.Google Scholar
- Peng, Shengwen, "DeepMeSH: deep semantic representation for improving large-scale MeSH indexing." Bioinformatics 32.12 (2016): i70-i79.Google ScholarCross Ref
- Abdeddaïm, Saïd, Sylvestre Vimard, and Lina Fatima Soualmia. "The MeSH-gram Neural Network Model: Extending word embedding vectors with MeSH concepts for UMLS semantic similarity and relatedness in the biomedical domain." arXiv preprint arXiv:1812.02309 (2018).Google Scholar
- Zhang, Yijia, "BioWordVec, improving biomedical word embeddings with subword information and MeSH." Scientific data 6.1 (2019): 1-9.Google ScholarCross Ref
- Jimeno-Yepes, Antonio, "A one-size-fits-all indexing method does not exist: automatic selection based on meta-learning." Journal of Computing Science and Engineering 6.2 (2012): 151-160.Google ScholarCross Ref
- Rios, Anthony, and Ramakanth Kavuluru. "Convolutional neural networks for biomedical text classification: application in indexing biomedical articles." Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics. 2015.Google Scholar
- Shultz, Mary. "Comparing test searches in PubMed and Google Scholar." Journal of the Medical Library Association: JMLA 95.4 (2007): 442.Google ScholarCross Ref
- Blei, David M., Andrew Y. Ng, and Michael I. Jordan. "Latent Dirichlet allocation." the Journal of machine Learning research 3 (2003): 993-1022.Google Scholar
- Pulver, Andrew, and Siwei Lyu. "LSTM with working memory." 2017 International Joint Conference on Neural Networks (IJCNN). IEEE, 2017.Google Scholar
- Alwanda, M. R., Ramadhan, R. P. K., & Alamsyah, D. (2020). Implementasi Metode Convolutional Neural Network Menggunakan Arsitektur LeNet-5 untuk Pengenalan Doodle. Jurnal Algoritme, 1(1), 45-56.Google Scholar
Recommendations
Medical Subject Headings (MeSH) Indexing Using Unsupervised Learningfor Low-resource Controlled Vocabulary
IC3INA '21: Proceedings of the 2021 International Conference on Computer, Control, Informatics and Its ApplicationsMedical subject heading indexing is a process to assign Medical Subject Headings (MeSH) to the biomedical literatures, such as abstracts or articles. The indexing process was done manually by human MeSH indexer. There is also indexing that was done by ...
A Character-Level Deep Lifelong Learning Model for Named Entity Recognition in Vietnamese Text
Intelligent Information and Database SystemsAbstractLifelong Machine Learning (LML) is a continuous learning process, in which the knowledge learned from previous tasks is accumulated in the knowledge base, then the knowledge will be used to support future learning tasks, for which it may be only a ...
Evaluation of Machine Learning Models for Detecting Disambiguation on Medical Abbreviations
IC3INA '22: Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its ApplicationsThe number of medical abbreviations in the world is due to the increasing number of diseases, technological advances in the medical field, research in the medical field, and the emergence of various drugs. A large number of medical abbreviations often ...
Comments