EXPLORING THE USE OF MACHINE LEARNING TO IMPROVE DEMENTIA DETECTION: AUTOMATING CODING OF THE CLOCK-DRAWING TEST

被引：0
|
作者：
Hu, Mengyao [1 ]
Murphey, Yi Lu [2 ]
Wang, Song [2 ]
Qin, Tian [2 ]
Zhao, Zixuan [2 ]
Gonzalez, Richard [1 ]
Freedman, Vicki [1 ]
机构：
[1] Univ Michigan, Ann Arbor, MI USA
[2] Univ Michigan Dearborn, Dearborn, MI USA
来源：
INNOVATION IN AGING | 2022年 / 6卷
关键词：
D O I：
暂无
中图分类号：
R592 [老年病学]; C [社会科学总论];
学科分类号：
03 ; 0303 ; 100203 ;
摘要：
引用
收藏
页码：382 / 382
页数：1
相关论文
共 31 条
  • [21] Dementia Detection Using Weighted Direction Index Histograms and SVM for Clock Drawing Test
    Shigemori, Tomoaki
    Kawanaka, Hiroharu
    Hicks, Yulia
    Setchi, Rossi
    Takase, Haruhiko
    Tsuruoka, Shinji
    Procedia Computer Science, 2016, 96 : 1240 - 1248
  • [22] Dementia Detection Using Weighted Direction Index Histograms and SVM for Clock Drawing Test
    Shigemori, Tomoaki
    Kawanaka, Hiroharu
    Hicks, Yulia
    Setchi, Rossi
    Takase, Haruhiko
    Tsuruoka, Shinji
    KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS: PROCEEDINGS OF THE 20TH INTERNATIONAL CONFERENCE KES-2016, 2016, 96 : 1240 - 1248
  • [23] The use of the Clock Drawing Test in bipolar disorder with or without dementia of Alzheimer's type
    Aprahamian, Ivan
    Radanovic, Marcia
    Nunes, Paula Villela
    Ladeira, Rodolfo Braga
    Forlenza, Orestes Vicente
    ARQUIVOS DE NEURO-PSIQUIATRIA, 2014, 72 (12) : 913 - 918
  • [24] The clock drawing test in primary care: sensitivity in dementia detection and specificity against normal and depressed elderly
    Kirby, M
    Denihan, A
    Bruce, I
    Coakley, D
    Lawlor, BA
    INTERNATIONAL JOURNAL OF GERIATRIC PSYCHIATRY, 2001, 16 (10) : 935 - 940
  • [25] An Artificial Intelligence-Assisted Method for Dementia Detection Using Images from the Clock Drawing Test
    Amini, Samad
    Zhang, Lifu
    Hao, Boran
    Gupta, Aman
    Song, Mengting
    Karjadi, Cody
    Lin, Honghuang
    Kolachalama, Vijaya B.
    Au, Rhoda
    Paschalidis, Ioannis Ch
    JOURNAL OF ALZHEIMERS DISEASE, 2021, 83 (02) : 581 - 589
  • [26] Does the Combination of the MMSE and Clock Drawing Test (Mini-Clock) Improve the Detection of Mild Alzheimer's Disease and Mild Cognitive Impairment?
    Cacho, Jesus
    Benito-Leon, Julian
    Garcia-Garcia, Ricardo
    Fernandez-Calvo, Bernardino
    Luis Vicente-Villardon, Jose
    Mitchell, Alex J.
    JOURNAL OF ALZHEIMERS DISEASE, 2010, 22 (03) : 889 - 896
  • [27] EXPLORING THE USE OF MACHINE LEARNING TO AUTOMATE THE QUALITATIVE CODING OF CHURCH-RELATED TWEETS
    Cooper, Anthony-Paul
    Kolog, Emmanuel Awuni
    Sutinen, Erkki
    FIELDWORK IN RELIGION, 2019, 14 (02): : 140 - 159
  • [28] An Exploratory Study Integrating Deep Learning in Digital Clock Drawing Test on Consumer Platforms for Enhanced Detection of Mild Cognitive Impairment
    Kuok, Bryan Zi Wei
    Koh, Malcolm H. S.
    Lim, Kenneth Y. T.
    HCI INTERNATIONAL 2024 POSTERS, PT II, HCII 2024, 2024, 2115 : 175 - 181
  • [29] Machine Learning Analysis of Digital Clock Drawing Test Performance for Differential Classification of Mild Cognitive Impairment Subtypes Versus Alzheimer's Disease
    Binaco, Russell
    Calzaretto, Nicholas
    Epifano, Jacob
    McGuire, Sean
    Umer, Muhammad
    Emrani, Sheina
    Wasserman, Victor
    Libon, David J.
    Polikar, Robi
    JOURNAL OF THE INTERNATIONAL NEUROPSYCHOLOGICAL SOCIETY, 2020, 26 (07) : 690 - 700
  • [30] Exploring the Potential of Machine Learning Algorithms Associated with the Use of Inertial Sensors for Goat Kidding Detection
    Goncalves, Pedro
    Marques, Maria do Rosario
    Belo, Ana Teresa
    Monteiro, Antonio
    Morais, Joao
    Riegel, Ivo
    Braz, Fernando
    ANIMALS, 2024, 14 (06):
1234