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Hideyuki Tanushi
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2020 – today
- 2024
- [c7]Hideyuki Tanushi, Hiroshi Furutani, Takeo Hosomi, Naoto Kai, Kaname Harumoto, Susumu Date:
Towards Development of University-wide Data Aggregation and Management Infrastructure for Research Data Utilization. e-Science 2024: 1-4 - 2023
- [c6]Naoto Kai, Tomoki Yoshihisa, Toshiki Shimbaru, Hideto Yano, Hideyuki Tanushi:
Citation Estimation Method Using Abstracts of Research Data Articles: A Focus on Scientific Data. 3PGCIC 2023: 1-13 - [c5]Yuta Namiki, Takeo Hosomi, Hideyuki Tanushi, Akihiro Yamashita, Susumu Date:
A Method for Constructing Research Data Provenance in High-Performance Computing Systems. e-Science 2023: 1-10 - 2021
- [c4]Mahbub Ul Alam, Aron Henriksson, Hideyuki Tanushi, Emil Thiman, Pontus Nauclér, Hercules Dalianis:
Terminology Expansion with Prototype Embeddings: Extracting Symptoms of Urinary Tract Infection from Clinical Text. HEALTHINF 2021: 47-57
2010 – 2019
- 2018
- [j1]Claudia Ehrentraut, Markus Ekholm, Hideyuki Tanushi
, Jörg Tiedemann
Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boosting. Health Informatics J. 24(1): 24-42 (2018) - 2014
- [c3]Hideyuki Tanushi
Detection of Healthcare-Associated Urinary Tract Infection in Swedish Electronic Health Records. InMed 2014: 330-339 - [c2]Magnus Ahltorp, Hideyuki Tanushi, Shiho Kitajima, Maria Skeppstedt, Rafal Rzepka, Kenji Araki:
HokuMed in NTCIR-11 MedNLP-2: Automatic Extraction of Medical Complaints from Japanese Health Records Using Machine Learning and Rule-based Methods. NTCIR 2014 - 2013
- [c1]Hideyuki Tanushi, Hercules Dalianis, Martin Duneld, Maria Kvist, Maria Skeppstedt, Sumithra Velupillai:
Negation Scope Delimitation in Clinical Text Using Three Approaches: NegEx; PyConTextNLP and SynNeg. NODALIDA 2013: 387-397
Coauthor Index
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last updated on 2024-10-02 20:41 CEST by the dblp team
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