Keiji Yasuda


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Prediction Models for Risk of Type-2 Diabetes Using Health Claims
Masatoshi Nagata | Kohichi Takai | Keiji Yasuda | Panikos Heracleous | Akio Yoneyama
Proceedings of the BioNLP 2018 workshop

This study focuses on highly accurate prediction of the onset of type-2 diabetes. We investigated whether prediction accuracy can be improved by utilizing lab test data obtained from health checkups and incorporating health claim text data such as medically diagnosed diseases with ICD10 codes and pharmacy information. In a previous study, prediction accuracy was increased slightly by adding diagnosis disease name and independent variables such as prescription medicine. Therefore, in the current study we explored more suitable models for prediction by using state-of-the-art techniques such as XGBoost and long short-term memory (LSTM) based on recurrent neural networks. In the current study, text data was vectorized using word2vec, and the prediction model was compared with logistic regression. The results obtained confirmed that onset of type-2 diabetes can be predicted with a high degree of accuracy when the XGBoost model is used.


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Method of Selecting Training Data to Build a Compact and Efficient Translation Model
Keiji Yasuda | Ruiqiang Zhang | Hirofumi Yamamoto | Eiichiro Sumita
Proceedings of the Third International Joint Conference on Natural Language Processing: Volume-II

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Improved Statistical Machine Translation by Multiple Chinese Word Segmentation
Ruiqiang Zhang | Keiji Yasuda | Eiichiro Sumita
Proceedings of the Third Workshop on Statistical Machine Translation


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Automatic Measuring of English Language Proficiency using MT Evaluation Technology
Keiji Yasuda | Fumiaki Sugaya | Eiichiro Sumita | Toshiyuki Takezawa | Genichiro Kikui | Seiichi Yamamoto
Proceedings of the Workshop on eLearning for Computational Linguistics and Computational Linguistics for eLearning


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Applications of Automatic Evaluation Methods to Measuring a Capability of Speech Translation System
Keiji Yasuda | Fumiaki Sugaya | Toshiyuki Takezawa | Seiichi Yamamoto | Masuzo Yanagida
10th Conference of the European Chapter of the Association for Computational Linguistics


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Quality-Sensitive Test Set Selection for a Speech Translation System
Fumiaki Sugaya | Keiji Yasuda | Toshiyuki Takezawa | Seiichi Yamamoto
Proceedings of the ACL-02 Workshop on Speech-to-Speech Translation: Algorithms and Systems

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Automatic machine translation selection scheme to output the best result
Keiji Yasuda | Fumiaki Sugaya | Toshiyuki Takezawa | Seiichi Yamamoto | Masuzo Yanagida
Proceedings of the Third International Conference on Language Resources and Evaluation (LREC’02)