Autor: "Shim YS" - OpacWWW

Skocz do pozycji: 1.

Tytuł:: Correlation between instrumental activities of daily living and white matter hyperintensities in amnestic mild cognitive impairment: results of a cross-sectional study.
Autorzy:: Yoon B; Department of Neurology, Konyang University Hospital, Konyang University College of Medicine, Daejeon, Republic of Korea.
Shim YS
Kim YD
Lee KO
Na SJ
Hong YJ
Oh YS
Na DL
Seo SW
Park KW
Moon SY
Kim SY
Lee JH
Choi SH
Yang DW; Pokaż więcej
Źródło:: Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology [Neurol Sci] 2013 May; Vol. 34 (5), pp. 715-21. Date of Electronic Publication: 2012 May 25.
Typ publikacji:: Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:: Activities of Daily Living*
Amnesia*/complications
Amnesia*/pathology
Amnesia*/psychology
Cognitive Dysfunction*/complications
Cognitive Dysfunction*/pathology
Cognitive Dysfunction*/psychology
Brain/*pathology
Conditioning, Operant/*physiology
Nerve Fibers, Myelinated/*pathology
Aged ; Aged, 80 and over ; Cross-Sectional Studies ; Female ; Humans ; Magnetic Resonance Imaging ; Male ; Middle Aged ; Neuropsychological Tests ; Odds Ratio ; Republic of Korea ; Retrospective Studies

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Skocz do pozycji: 2.

Tytuł:: Microstructural changes in the hippocampus and posterior cingulate in mild cognitive impairment and Alzheimer's disease: a diffusion tensor imaging study.
Autorzy:: Hong YJ; Department of Neurology, Yong-in Hyoja Geriatric Hospital, Yongin, Korea.
Yoon B
Lim SC
Shim YS
Kim JY
Ahn KJ
Han IW
Yang DW; Pokaż więcej
Źródło:: Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology [Neurol Sci] 2013 Jul; Vol. 34 (7), pp. 1215-21. Date of Electronic Publication: 2012 Oct 30.
Typ publikacji:: Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:: Alzheimer Disease/*diagnosis
Cognitive Dysfunction/*diagnosis
Diffusion Tensor Imaging/*methods
Gyrus Cinguli/*pathology
Hippocampus/*pathology
Aged ; Aged, 80 and over ; Alzheimer Disease/metabolism ; Cognitive Dysfunction/metabolism ; Cross-Sectional Studies ; Female ; Humans ; Male

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Skocz do pozycji: 3.

Tytuł:: Prediction of cognitive impairment via deep learning trained with multi-center neuropsychological test data.
Autorzy:: Kang MJ; Department of Neurology, Seoul National University College of Medicine & Seoul National University Bundang Hospital, Seoul, South Korea.; Department of Neurology, Veterans Health Service Medical Center, Seoul, South Korea.
Kim SY; Department of Neurology, Seoul National University College of Medicine & Seoul National University Bundang Hospital, Seoul, South Korea.
Na DL; Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Kim BC; Department of Neurology, Chonnam National University Medical School, Gwangju, South Korea.
Yang DW; Department of Neurology, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Kim EJ; Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, South Korea.
Na HR; The Brain Fitness Center, Bobath Memorial Hospital, Seongnam, South Korea.
Han HJ; Department of Neurology, Myongji Hospital, Hanyang University College of Medicine, Goyang, South Korea.
Lee JH; Department of Neurology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, South Korea.
Kim JH; Department of Neurology, Dementia Center, Ilsan Hospital, National Health Insurance Service, Goyang, South Korea.
Park KH; Department of Neurology, College of Medicine, Gachon University Gil Hospital, Incheon, South Korea.
Park KW; Department of Neurology, Dong-A University College of Medicine and Institute of Convergence Bio-Health, Busan, South Korea.
Han SH; Department of Neurology, Konkuk University Medical Center, Seoul, South Korea.
Kim SY; Department of Psychiatry, University of Ulsan College of Medicine, Asan Medical Center, Seoul, South Korea.
Yoon SJ; Department of Neurology, Eulji University College of Medicine, Daejeon, South Korea.
Yoon B; Department of Neurology, Konyang University Hospital, College of Medicine, Konyang University, Daejeon, South Korea.
Seo SW; Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Moon SY; Department of Neurology, Ajou University School of Medicine, Suwon, South Korea.
Yang Y; Department of Neurology, Veterans Health Service Medical Center, Seoul, South Korea.
Shim YS; Department of Neurology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Baek MJ; Department of Neurology, Seoul National University College of Medicine & Seoul National University Bundang Hospital, Seoul, South Korea.
Jeong JH; Department of Neurology, Ewha Womans University School of Medicine, Seoul, South Korea.
Choi SH; Department of Neurology, Inha University School of Medicine, Incheon, South Korea.
Youn YC; Department of Neurology, College of Medicine, Chung-Ang University, Seoul, South Korea. .; Pokaż więcej
Źródło:: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2019 Nov 21; Vol. 19 (1), pp. 231. Date of Electronic Publication: 2019 Nov 21.
Typ publikacji:: Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:: Machine Learning*
Neuropsychological Tests*
Alzheimer Disease/*diagnosis
Cognitive Dysfunction/*diagnosis
Age Factors ; Algorithms ; Datasets as Topic ; Deep Learning ; Humans ; Neural Networks, Computer ; Sensitivity and Specificity

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