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Mika Takata
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2020 – today
- 2024
- [j1]Giada Confortola
, Mika Takata
, Naoaki Yokoi, Masashi Egi:
Enhancing Predictive Models to Lower Rehospitalization Risk: Utilizing Historical Medical Records for AI-Driven Interventions. IEEE Access 12: 78911-78921 (2024) - 2023
- [c6]Giada Confortola, Mika Takata, Naoaki Yokoi, Masashi Egi:
Actionable Suggestions in Support of Rehospitalization Risk Predicted by Artificial Intelligence. BigComp 2023: 155-162 - [c5]Divya Singh, Mika Takata, Toshihiko Kashiyama, Satoshi Katsunuma, Norifumi Nishikawa:
Hierarchical Rule Compliance Check Method for Distributed Query. IEEE Big Data 2023: 4754-4760 - 2022
- [c4]Mika Takata, Kazuo Goda, Masaru Kitsuregawa:
μ-join: Efficient Join with Versioned Dimension Tables. DASFAA (1) 2022: 88-95
2010 – 2019
- 2018
- [c3]Sujay S. Kakarmath, Sara Bersche Golas, Jennifer Felsted, Takuma Shibahara, Hideo Aoki, Mika Takata, Ken Naono, Joseph C. Kvedar, Kamal Jethwani, Stephen Agboola:
Prospective Evaluation of the Real-world Performance of a Machine Learning Algorithm to Predict 30-Day Readmissions in Patients with Heart Failure Using Electronic Medical Record Data. AMIA 2018 - 2015
- [c2]Mika Takata, Yasushi Miyata, Norifumi Nishikawa:
Proposal of analytics software architecture with data preparation layer for fast event identification in wide-area situational awareness. ICIT 2015: 1741-1746
2000 – 2009
- 2008
- [c1]Mika Takata, Yasuo Matsuyama:
Protein Folding Classification by Committee SVM Array. ICONIP (2) 2008: 369-377
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