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3. Semi-supervised Approach to Soft Sensor Modeling for Fault Detection in Industrial Systems with Multiple Operation Modes

Author

Takeuchi, Shun, Nishino, Takuya, Saito, Takahiro, and Watanabe, Isamu

Subjects
Electrical Engineering and Systems Science - Signal Processing, Computer Science - Machine Learning, Computer Science - Systems and Control, Statistics - Machine Learning
Abstract

In industrial systems, certain process variables that need to be monitored for detecting faults are often difficult or impossible to measure. Soft sensor techniques are widely used to estimate such difficult-to-measure process variables from easy-to-measure ones. Soft sensor modeling requires training datasets including the information of various states such as operation modes, but the fault dataset with the target variable is insufficient as the training dataset. This paper describes a semi-supervised approach to soft sensor modeling to incorporate an incomplete dataset without the target variable in the training dataset. To incorporate the incomplete dataset, we consider the properties of processes at transition points between operation modes in the system. The regression coefficients of the operation modes are estimated under constraint conditions obtained from the information on the mode transitions. In a case study, this constrained soft sensor modeling was used to predict refrigerant leaks in air-conditioning systems with heating and cooling operation modes. The results show that this modeling method is promising for soft sensors in a system with multiple operation modes., Comment: 7 pages, 1 figure

Published
2019

6. Impact of Red Blood Cell Transfusion on Subsequent Cardiovascular Events in Patients with Acute Heart Failure and Anemia

Author

Watanabe, Yukihiro, primary, Tara, Shuhei, additional, Nishino, Takuya, additional, Kato, Katsuhito, additional, Kubota, Yoshiaki, additional, Hayashi, Daisuke, additional, Mozawa, Kosuke, additional, Matsuda, Junya, additional, Miyachi, Hideki, additional, Tokita, Yukichi, additional, Iwasaki, Yu-ki, additional, Yasutake, Masahiro, additional, and Asai, Kuniya, additional

Published
2024
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8. Fractional excretion of urea nitrogen can identify true worsening renal function in patients with heart failure.

Author

Watanabe, Yukihiro, Kubota, Yoshiaki, Nishino, Takuya, Tara, Shuhei, Kato, Katsuhito, Hayashi, Daisuke, Matsuda, Junya, Miyachi, Hideki, Tokita, Yukichi, Iwasaki, Yu‐ki, and Asai, Kuniya

Subjects
CARDIO-renal syndrome, PATIENT readmissions, ACUTE kidney failure, HOSPITAL admission & discharge, HEART failure patients
Abstract

Aims: Fractional excretion of urea nitrogen (FEUN), used to differentiate the cause of acute kidney injury, has emerged as a useful fluid index in patients with heart failure (HF). We hypothesized that FEUN could be useful in identifying worsening renal function (WRF) associated with poor outcomes in patients with acute HF (AHF). Methods and results: Overall, 1103 patients with AHF (median age, 78 years; male proportion, 60%) were categorized into six groups according to the presence of WRF and FEUN values (low, ≤32.1%; medium, >32.1% and ≤38.0%; and high, >38.0%) at discharge. WRF was defined as an increase of ≥0.3 mg/dL in the serum creatinine level from admission to discharge. FEUN was calculated by the following formula: (urinary urea × serum creatinine) × 100/(serum urea × urinary creatinine). The cut‐off values for low, medium, and high FEUN were based on a previous study. The primary outcome of this study was HF readmission after hospital discharge. During the 1 year follow‐up, 170 HF readmissions occurred. Kaplan–Meier analysis revealed significantly higher HF readmission rates in patients with WRF than in those without WRF (log‐rank test, P < 0.001). Additionally, among patients with WRF, HF readmission rates were lowest in those with medium FEUN values, followed by those with low FEUN values and those with high FEUN values. On multivariable analysis, the presence of WRF with low or high FEUN values was independently associated with increased HF readmission, as compared with the absence of WRF with medium FEUN values. Notably, no association was noted between WRF with medium FEUN values and HF readmission. Conclusions: The prognostic impact of WRF was significantly mediated by the FEUN values and was associated with worse outcomes only when the FEUN values were either low or high. Our study suggests that FEUN can identify prognostically relevant WRF in patients with AHF. [ABSTRACT FROM AUTHOR]

Published
2024
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10. Utility of fractional excretion of urea nitrogen in heart failure patients with chronic kidney disease

Author

Watanabe, Yukihiro, primary, Kubota, Yoshiaki, additional, Nishino, Takuya, additional, Tara, Shuhei, additional, Kato, Katsuhito, additional, Hayashi, Daisuke, additional, Mozawa, Kosuke, additional, Matsuda, Junya, additional, Tokita, Yukichi, additional, Yasutake, Masahiro, additional, Asai, Kuniya, additional, and Iwasaki, Yu‐ki, additional

Published
2023
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11. Rapid Screening Using Pathomorphologic Interpretation to Detect BRAFV600E Mutation and Microsatellite Instability in Colorectal Cancer

Author

Fujii, Satoshi, primary, Kotani, Daisuke, additional, Hattori, Masahiro, additional, Nishihara, Masato, additional, Shikanai, Toshihide, additional, Hashimoto, Junji, additional, Hama, Yuki, additional, Nishino, Takuya, additional, Suzuki, Mizuto, additional, Yoshidumi, Ayatoshi, additional, Ueno, Makoto, additional, Komatsu, Yoshito, additional, Masuishi, Toshiki, additional, Hara, Hiroki, additional, Esaki, Taito, additional, Nakamura, Yoshiaki, additional, Bando, Hideaki, additional, Yamada, Tomoyuki, additional, and Yoshino, Takayuki, additional

Published
2022
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