Zobrazeno 1 - 10
of 254
pro vyhledávání: '"Kaoru Sakatani"'
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
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
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
Autor:
Kaoru Sakatani, Görsev Yener
Publikováno v:
Frontiers in Neurology, Vol 13 (2022)
Externí odkaz:
https://doaj.org/article/646cd8b369fc42838585f03e57f4f5e7
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
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
Publikováno v:
Frontiers in Neurology, Vol 11 (2020)
Background: In order to develop a new screening test of cognitive impairment, we studied whether cognitive function can be estimated from basic blood test data by applying deep learning models. This model was constructed based on the effects of syste
Externí odkaz:
https://doaj.org/article/871e84e293f647aa98afd0264443e141
Autor:
Koh Iwasaki, Takao Namiki, Mitsuyuki Takamura, Tetsuhiro Yoshino, Shin Takayama, Kaoru Sakatani
Publikováno v:
Journal of Traditional Chinese Medical Sciences, Vol 4, Iss 1, Pp 10-13 (2017)
Five researchers reported on their studies to quantify and objectify traditional medicine at the symposium “Verification of Traditional Chinese Medicine” during the 2016 annual meeting of the Japan Traditional Chinese Medicine Association. Takao
Externí odkaz:
https://doaj.org/article/da8400dc0e594c828ef3c884c24eb920
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 2, Pp 1-10 (2014)
Stress-induced psychological and somatic diseases are virtually endemic nowadays. Written self-report anxiety measures are available; however, these indices tend to be time consuming to acquire. For medical patients, completing written reports can be
Externí odkaz:
https://doaj.org/article/c4570ebc120746ffb535e36eccba6ee6
Publikováno v:
Applied Sciences, Vol 9, Iss 11, p 2209 (2019)
Background: In order to evaluate usefulness of a time-resolved spectroscopy (TRS) in screening test of cognitive dysfunction, we studied the effects of aging, cognitive dysfunction, brain atrophy on hemoglobin (Hb) concentrations and optical pathleng
Externí odkaz:
https://doaj.org/article/cc7a47ceef474bb0b6aff95b2d112d73