| 2025 | ADMA | Improving the Efficiency of Interactive Sequential Pattern Mining by Closed Pattern Discovery. | Yui Aoyagi, Hieu Hanh Le, Ryosuke Matsuo, Tomoyoshi Yamazaki, Kenji Araki, Haruo Yokota, Masato Oguchi |
| 2025 | CBMS | Extracting and Visualizing Frequent Medical Instruction Patterns with Statistical Insights from Multi-Institutional Electronic Medical Record Data. | Miwa Sugitani, Ryosuke Matsuo, Tomoyoshi Yamazaki, Kenji Araki, Masato Oguchi, Haruo Yokota, Hieu Hanh Le |
| 2023 | CBMS | Analysis of Transitions in Differences between Frequent Medical-order Sequences for COVID-19. | Zitai Zhao, Yuki Yasumitsu, Hieu Hanh Le, Tomoyoshi Yamazaki, Kenji Araki, Haruo Yokota |
| 2022 | DEXA | Comparison of Sequence Variants and the Application in Electronic Medical Records. | Yuqing Li, Hieu Hanh Le, Ryosuke Matsuo, Tomoyoshi Yamazaki, Kenji Araki, Haruo Yokota |
| 2021 | CBMS | Sequential Pattern Mining of Large Combinable Items with Values for a Set-of-items Recommendation. | Hieu Hanh Le, Yutaka Horino, Tomoyoshi Yamazaki, Kenji Araki, Haruo Yokota |
| 2017 | VLDB | Detection and Visualization of Variants in Typical Medical Treatment Sequences. | Yuichi Honda, Muneo Kushima, Tomoyoshi Yamazaki, Kenji Araki, Haruo Yokota |
| 2016 | ISCC | Sequential pattern mining on electronic medical records with handling time intervals and the efficacy of medicines. | Keishiro Uragaki, Tomoyuki Hosaka, Yoshitaka Arahori, Muneo Kushima, Tomoyoshi Yamazaki, Kenji Araki, Haruo Yokota |