Zobrazeno 1 - 10 of 16 pro vyhledávání: '"Kaoru Sakata"'
1
Akademický článek
Enhancing dementia risk screening with GAN-synthesized periodontal examination and general blood test data
Autor: Katsunori Oyama, Toshiki Isogai, Yohei Nakayama, Ryoki Kobayashi, Daisuke Kitano, Kenji Karako, Kaoru Sakatani
Publikováno v: Frontiers in Neurology, Vol 15 (2024)
IntroductionThis study aimed to investigate the effectiveness of data augmentation to improve dementia risk prediction using machine learning models. Recent studies have shown that basic blood tests are cost-effective in predicting cognitive function
Externí odkaz: https://doaj.org/article/64e7f2a3cf324373b26130efbfa18fd3
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2
Akademický článek
Importance of serum albumin in machine learning-based prediction of cognitive function in the elderly using a basic blood test
Autor: Kenji Karako, Takeo Hata, Atsushi Inoue, Katsunori Oyama, Eiichiro Ueda, Kaoru Sakatani
Publikováno v: Frontiers in Neurology, Vol 15 (2024)
IntroductionIn this study, we investigated the correlation between serum albumin levels and cognitive function, and examined the impact of including serum albumin values in the input layer on the prediction accuracy when forecasting cognitive functio
Externí odkaz: https://doaj.org/article/20538f688e9c4151839d94f526f07dc0
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3
Akademický článek
Estimation of cognitive impairment in chronic pain patients and characteristics of estimated mild cognitive impairment
Autor: Masamichi Moriya, Lizhen Hu, Kaoru Sakatani, Masaki Kitahara
Publikováno v: Frontiers in Neurology, Vol 15 (2024)
BackgroundPatients with chronic pain suffer from psychological effects such as anxiety due to the pain itself. Pain can not only impair activities of daily living (ADL) and quality of life (QOL), but also impair cognitive function. Therefore, in this
Externí odkaz: https://doaj.org/article/6160c5ff67f547479f5f09474a727eb7
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5
Characterization of Hepatic Glucose Metabolism Disorder with the Progress of Diabetes in Male Spontaneously Diabetic Torii Rats
Autor: Hisayo Morinaga, Kaoru Sakata, Tomohiko Sasase, Sumiaki Fukuda, Katsuhiro Miyajima, Hiromi Yamamoto, Makoto Ito, Mutsuyoshi Matsushita, Nobuhisa Ueda, Takeshi Ohta
Publikováno v: Journal of Veterinary Medical Science. 70:1239-1245
The Spontaneously Diabetic Torii (SDT) rat has recently been established as a new model of non-obese type 2 diabetes. In this study, we examined changes in hepatic glucose metabolism in prediabetic and diabetic SDT rats compared with age-matched cont
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f172cce4fef0312bdd00928dd7bc41a
https://doi.org/10.1292/jvms.70.1239
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6
Activities of Daily Living in Patients with Schizophrenia Analysis by the Functional Independence Measure (FIM)
Autor: Yuji Aoki, Hitoshi Nakayama, Hirotaka Nagumo, Kaoru Sakata, Yoko Imamura, Takehiko Kasuga, Hiroyuki Senba, Yoshiyuki Kikuchi, Masayuki Sekine, Akiko Hashimoto, Noriko Fukuda, Mika Suda, Tsuneyo Kosaka, Mariko Sekiguchi
Publikováno v: Rigakuryoho Kagaku. 17:71-75
本研究は，慢性精神科病棟に入院する精神分裂病患者の日常生活動作について機能的自立度評価法(FIM)を用いて評価し，各日常生活動作項目の難易度，類似性や関連性，加齢による能力
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::31bd714434fcf5905e0da998dfd292ac
https://doi.org/10.1589/rika.17.71
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7
Akademický článek
Editorial: Application of Machine Learning in the Diagnosis of Dementia
Autor: Kaoru Sakatani, Görsev Yener
Publikováno v: Frontiers in Neurology, Vol 13 (2022)
Externí odkaz: https://doaj.org/article/646cd8b369fc42838585f03e57f4f5e7
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8
Akademický článek
Estimation of Human Cerebral Atrophy Based on Systemic Metabolic Status Using Machine Learning
Autor: Kaoru Sakatani, Katsunori Oyama, Lizhen Hu, Shin'ichi Warisawa
Publikováno v: Frontiers in Neurology, Vol 13 (2022)
BackgroundBased on the assumption that systemic metabolic disorders affect cognitive function, we have developed a deep neural network (DNN) model that can estimate cognitive function based on basic blood test data that do not contain dementia-specif
Externí odkaz: https://doaj.org/article/ca7ef0666add4e65a98613f500d1bc6f
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9
Akademický článek
Machine Learning-Based Assessment of Cognitive Impairment Using Time-Resolved Near-Infrared Spectroscopy and Basic Blood Test
Autor: Katsunori Oyama, Kaoru Sakatani
Publikováno v: Frontiers in Neurology, Vol 12 (2022)
We have demonstrated that machine learning allows us to predict cognitive function in aged people using near-infrared spectroscopy (NIRS) data or basic blood test data. However, the following points are not yet clear: first, whether there are differe
Externí odkaz: https://doaj.org/article/abb0faf0571f4d078f422d4998b53d6c
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