BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

385 related articles for article (PubMed ID: 31752864)

  • 1. Prediction of cognitive impairment via deep learning trained with multi-center neuropsychological test data.
    Kang MJ; Kim SY; Na DL; Kim BC; Yang DW; Kim EJ; Na HR; Han HJ; Lee JH; Kim JH; Park KH; Park KW; Han SH; Kim SY; Yoon SJ; Yoon B; Seo SW; Moon SY; Yang Y; Shim YS; Baek MJ; Jeong JH; Choi SH; Youn YC
    BMC Med Inform Decis Mak; 2019 Nov; 19(1):231. PubMed ID: 31752864
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Neuropsychological test using machine learning for cognitive impairment screening.
    Simfukwe C; Kim S; An SS; Youn YC;
    Appl Neuropsychol Adult; 2022 Jun; ():1-6. PubMed ID: 35653621
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Neuropsychological predictors of conversion from mild cognitive impairment to Alzheimer's disease: a feature selection ensemble combining stability and predictability.
    Pereira T; Ferreira FL; Cardoso S; Silva D; de Mendonça A; Guerreiro M; Madeira SC;
    BMC Med Inform Decis Mak; 2018 Dec; 18(1):137. PubMed ID: 30567554
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Characteristics of Mild Cognitive Impairment Using the Thai Version of the Consortium to Establish a Registry for Alzheimer's Disease Tests: A Multivariate and Machine Learning Study.
    Tunvirachaisakul C; Supasitthumrong T; Tangwongchai S; Hemrunroj S; Chuchuen P; Tawankanjanachot I; Likitchareon Y; Phanthumchinda K; Sriswasdi S; Maes M
    Dement Geriatr Cogn Disord; 2018; 45(1-2):38-48. PubMed ID: 29617684
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep Learning and Risk Score Classification of Mild Cognitive Impairment and Alzheimer's Disease.
    Nagaraj S; Duong TQ
    J Alzheimers Dis; 2021; 80(3):1079-1090. PubMed ID: 33646166
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Clinically-Translatable Machine Learning Algorithm for the Prediction of Alzheimer's Disease Conversion in Individuals with Mild and Premild Cognitive Impairment.
    Grassi M; Perna G; Caldirola D; Schruers K; Duara R; Loewenstein DA
    J Alzheimers Dis; 2018; 61(4):1555-1573. PubMed ID: 29355115
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Stable and Scalable Digital Composite Neurocognitive Test for Early Dementia Screening Based on Machine Learning: Model Development and Validation Study.
    Gu D; Lv X; Shi C; Zhang T; Liu S; Fan Z; Tu L; Zhang M; Zhang N; Chen L; Wang Z; Wang J; Zhang Y; Li H; Wang L; Zhu J; Zheng Y; Wang H; Yu X;
    J Med Internet Res; 2023 Dec; 25():e49147. PubMed ID: 38039074
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Machine Learning Analysis of Digital Clock Drawing Test Performance for Differential Classification of Mild Cognitive Impairment Subtypes Versus Alzheimer's Disease.
    Binaco R; Calzaretto N; Epifano J; McGuire S; Umer M; Emrani S; Wasserman V; Libon DJ; Polikar R
    J Int Neuropsychol Soc; 2020 Aug; 26(7):690-700. PubMed ID: 32200771
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Machine-Learning Algorithms Based on Screening Tests for Mild Cognitive Impairment.
    Park JH
    Am J Alzheimers Dis Other Demen; 2020; 35():1533317520927163. PubMed ID: 32602347
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Multi-modality sparse representation-based classification for Alzheimer's disease and mild cognitive impairment.
    Xu L; Wu X; Chen K; Yao L
    Comput Methods Programs Biomed; 2015 Nov; 122(2):182-90. PubMed ID: 26298855
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Incremental value of biomarker combinations to predict progression of mild cognitive impairment to Alzheimer's dementia.
    Frölich L; Peters O; Lewczuk P; Gruber O; Teipel SJ; Gertz HJ; Jahn H; Jessen F; Kurz A; Luckhaus C; Hüll M; Pantel J; Reischies FM; Schröder J; Wagner M; Rienhoff O; Wolf S; Bauer C; Schuchhardt J; Heuser I; Rüther E; Henn F; Maier W; Wiltfang J; Kornhuber J
    Alzheimers Res Ther; 2017 Oct; 9(1):84. PubMed ID: 29017593
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Quantitative Assessment of Resting-State for Mild Cognitive Impairment Detection: A Functional Near-Infrared Spectroscopy and Deep Learning Approach.
    Yang D; Hong KS
    J Alzheimers Dis; 2021; 80(2):647-663. PubMed ID: 33579839
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Learning Cognitive-Test-Based Interpretable Rules for Prediction and Early Diagnosis of Dementia Using Neural Networks.
    Wang Z; Wang J; Liu N; Liu C; Li X; Dong L; Zhang R; Mao C; Duan Z; Zhang W; Gao J; Wang J;
    J Alzheimers Dis; 2022; 90(2):609-624. PubMed ID: 36155512
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Use of the Clock Drawing Test and the Rey-Osterrieth Complex Figure Test-copy with convolutional neural networks to predict cognitive impairment.
    Youn YC; Pyun JM; Ryu N; Baek MJ; Jang JW; Park YH; Ahn SW; Shin HW; Park KY; Kim SY
    Alzheimers Res Ther; 2021 Apr; 13(1):85. PubMed ID: 33879200
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Unveiling the sound of the cognitive status: Machine Learning-based speech analysis in the Alzheimer's disease spectrum.
    García-Gutiérrez F; Alegret M; Marquié M; Muñoz N; Ortega G; Cano A; De Rojas I; García-González P; Olivé C; Puerta R; García-Sanchez A; Capdevila-Bayo M; Montrreal L; Pytel V; Rosende-Roca M; Zaldua C; Gabirondo P; Tárraga L; Ruiz A; Boada M; Valero S
    Alzheimers Res Ther; 2024 Feb; 16(1):26. PubMed ID: 38308366
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Mild cognitive impairment, dementia, and cognitive dysfunction screening using machine learning.
    Yim D; Yeo TY; Park MH
    J Int Med Res; 2020 Jul; 48(7):300060520936881. PubMed ID: 32644870
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Memory performance on the story recall test and prediction of cognitive dysfunction progression in mild cognitive impairment and Alzheimer's dementia.
    Park JH; Park H; Sohn SW; Kim S; Park KW
    Geriatr Gerontol Int; 2017 Oct; 17(10):1603-1609. PubMed ID: 27910252
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Application of advanced machine learning methods on resting-state fMRI network for identification of mild cognitive impairment and Alzheimer's disease.
    Khazaee A; Ebrahimzadeh A; Babajani-Feremi A
    Brain Imaging Behav; 2016 Sep; 10(3):799-817. PubMed ID: 26363784
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Artificial intelligence and neuropsychological measures: The case of Alzheimer's disease.
    Battista P; Salvatore C; Berlingeri M; Cerasa A; Castiglioni I
    Neurosci Biobehav Rev; 2020 Jul; 114():211-228. PubMed ID: 32437744
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A machine learning-based linguistic battery for diagnosing mild cognitive impairment due to Alzheimer's disease.
    Orimaye SO; Goodkin K; Riaz OA; Salcedo JM; Al-Khateeb T; Awujoola AO; Sodeke PO
    PLoS One; 2020; 15(3):e0229460. PubMed ID: 32134942
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 20.