Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Chiaki Doi"'
Publikováno v:
IEEE Access, Vol 11, Pp 48667-48676 (2023)
Adverse events after surgery not only affect the patient’s recovery but also increase the burden on doctors and patients due to prolonged hospitalization. Predicting adverse events from patient data before surgery with a machine learning method is
Externí odkaz:
https://doaj.org/article/7d56c990d8814218bc30767fed027364
Autor:
Katsuhiko NISHIHARA, Kazuki YATSUZUKA, Chiaki DOI, Satoshi YOSHIDA, Asami TOZAWA, Jun MUTO, Masamoto MURAKAMI, Yasuhiro FUJISAWA
Publikováno v:
Skin Cancer. 37:187-191
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fc09587fa8c04be2337db963b0fcea3
https://doi.org/10.5227/skincancer.37.187
https://doi.org/10.5227/skincancer.37.187
Publikováno v:
Dentomaxillofac Radiol
In the last few years, artificial intelligence (AI) research has been rapidly developing and emerging in the field of dental and maxillofacial radiology. Dental radiography, which is commonly used in daily practices, provides an incredibly rich resou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c906ed3014012982ddd91b28440f0279
https://doi.org/10.1259/dmfr.20210197
https://doi.org/10.1259/dmfr.20210197
Publikováno v:
PerCom Workshops
Intraoperative hypotension may occur during surgery, depending on the patient's condition and the amount of anesthetics administered. Intraoperative hypotension causes adverse events such as myocardial infarction, acute kidney injury, and stroke, whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7c97a76cc85010bd960ad599c3863d5
https://doi.org/10.1109/percomworkshops51409.2021.9430993
https://doi.org/10.1109/percomworkshops51409.2021.9430993
Publikováno v:
Clinical and Experimental Dermatology. 47:412-413
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b42a0f123b481d960ed06904b507c5d7
https://doi.org/10.1111/ced.14900
https://doi.org/10.1111/ced.14900
Publikováno v:
The Journal of dermatologyREFERENCES. 48(8)
Pemphigoid vegetans is a rare variant of bullous pemphigoid characterized by vegetative and purulent lesions of the groin, axillae, thighs, hands, eyelids, and perioral regions. The clinical features and histological findings of pemphigus vegetans an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccc8e3aa3fa9cc0d052320a0404b3170
https://pubmed.ncbi.nlm.nih.gov/34003521
https://pubmed.ncbi.nlm.nih.gov/34003521
Publikováno v:
The Journal of Dermatology. 48
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf63e263ec568ea9324dd6d8cb78cb33
https://doi.org/10.1111/1346-8138.15631
https://doi.org/10.1111/1346-8138.15631
Publikováno v:
AINA
The authors aim to develop a system that saves money by providing tips (proposed actions; the tips are called know-how) based on user preferences. In order to select helpful tips, this study develops a method that improves estimation accuracy by opti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e58cf9ccfa05d379ec5d0c829be495ca
https://doi.org/10.1109/aina.2018.00082
https://doi.org/10.1109/aina.2018.00082
Publikováno v:
AINA
This paper proposes a method that predicts customer value by focusing on purchasing behavior. The method generates a relevance model for purchase days and amount in each period between customer value and purchasing histories beforehand based on a con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f446d4b269d460fcf95ef03ae69a02f1
https://doi.org/10.1109/aina.2018.00056
https://doi.org/10.1109/aina.2018.00056
Autor:
Ken Ohta, Chiaki Doi, Masaji Katagiri, Hiroshi Inamura, Akira Ishii, Ikeda Daizo, Konishi Teppei, Takashi Araki, Hiroshi Shigeno
Publikováno v:
ICMU
This paper proposes a method to estimate the preference of customers based on store check-in histories. The proposed method can distinguish the preferences of customers who have no purchase histories. We adopt a machine learning algorithm for model a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f31e17b94ebc47d936a9c05415b1fd3
https://doi.org/10.23919/icmu.2017.8330107
https://doi.org/10.23919/icmu.2017.8330107