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Paper Abstract and Keywords
Presentation 2023-02-16 14:30
Predicting Temperature Rise Using Machine Learning in Microwave Heating
Tohgo Hosoda, Aditya Rakhmadi, Kazuyuki Saito (Chiba Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, research on machine learning has been active, and use of technology been increasing in various fields where computers are employed to learn past data and predict response values. We have been studying the possibility of applying machine learning to the medical field. In Japan, the number of hypertensive patients is increasing due to the westernization of diets. Therefore, there is a need to establish a treatment method for hypertension. Renal denervation (RDN) is one of the treatments for hypertension and involves ablating the nerves outside the renal artery. However, there is a problem that it is impossible to know whether the target area is ablated during renal denervation. Because there is no established method to confirm the outside temperature of the renal artery in real time. In order to solve this problem, we introduced machine learning for nerve ablation using microwave energy. In the technique, the temperature of the nerve outside the renal artery is predicted from the temperature inside the renal artery, which can be observed.
Keyword (in Japanese) (See Japanese page) 
(in English) Machine learning / hypertension / renal denervation / microwave / temperature analysis / XGBoost / /  
Reference Info. ITE Tech. Rep., vol. 47, no. 5, BCT2023-18, pp. 1-4, Feb. 2023.
Paper # BCT2023-18 
Date of Issue 2023-02-09 (BCT) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Committee BCT IEEE-BT  
Conference Date 2023-02-16 - 2023-02-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Osaka Museum of History 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To BCT 
Conference Code 2023-02-BCT-BT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Predicting Temperature Rise Using Machine Learning in Microwave Heating 
Sub Title (in English)  
Keyword(1) Machine learning  
Keyword(2) hypertension  
Keyword(3) renal denervation  
Keyword(4) microwave  
Keyword(5) temperature analysis  
Keyword(6) XGBoost  
1st Author's Name Tohgo Hosoda  
1st Author's Affiliation Chiba University (Chiba Univ.)
2nd Author's Name Aditya Rakhmadi  
2nd Author's Affiliation Chiba University (Chiba Univ.)
3rd Author's Name Kazuyuki Saito  
3rd Author's Affiliation Chiba University (Chiba Univ.)
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Speaker Author-1 
Date Time 2023-02-16 14:30:00 
Presentation Time 20 minutes 
Registration for BCT 
Paper # BCT2023-18 
Volume (vol) vol.47 
Number (no) no.5 
Page pp.1-4 
Date of Issue 2023-02-09 (BCT) 

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