BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

165 related articles for article (PubMed ID: 38539590)

  • 1. Sex Differences in Conversion Risk from Mild Cognitive Impairment to Alzheimer's Disease: An Explainable Machine Learning Study with Random Survival Forests and SHAP.
    Sarica A; Pelagi A; Aracri F; Arcuri F; Quattrone A; Quattrone A; For The Alzheimer's Disease Neuroimaging Initiative
    Brain Sci; 2024 Feb; 14(3):. PubMed ID: 38539590
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Explainability of random survival forests in predicting conversion risk from mild cognitive impairment to Alzheimer's disease.
    Sarica A; Aracri F; Bianco MG; Arcuri F; Quattrone A; Quattrone A;
    Brain Inform; 2023 Nov; 10(1):31. PubMed ID: 37979033
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Explainable AI-based Deep-SHAP for mapping the multivariate relationships between regional neuroimaging biomarkers and cognition.
    Bhattarai P; Thakuri DS; Nie Y; Chand GB
    Eur J Radiol; 2024 May; 174():111403. PubMed ID: 38452732
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects.
    Moradi E; Pepe A; Gaser C; Huttunen H; Tohka J;
    Neuroimage; 2015 Jan; 104():398-412. PubMed ID: 25312773
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Short-Term Memory Binding Distinguishing Amnestic Mild Cognitive Impairment from Healthy Aging: A Machine Learning Study.
    Martínez-Florez JF; Osorio JD; Cediel JC; Rivas JC; Granados-Sánchez AM; López-Peláez J; Jaramillo T; Cardona JF
    J Alzheimers Dis; 2021; 81(2):729-742. PubMed ID: 33814438
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer's disease.
    El-Sappagh S; Alonso JM; Islam SMR; Sultan AM; Kwak KS
    Sci Rep; 2021 Jan; 11(1):2660. PubMed ID: 33514817
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction of conversion to dementia using interpretable machine learning in patients with amnestic mild cognitive impairment.
    Chun MY; Park CJ; Kim J; Jeong JH; Jang H; Kim K; Seo SW
    Front Aging Neurosci; 2022; 14():898940. PubMed ID: 35992586
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Machine Learning-Based Holistic Approach to Predict the Clinical Course of Patients within the Alzheimer's Disease Spectrum.
    Massetti N; Russo M; Franciotti R; Nardini D; Mandolini GM; Granzotto A; Bomba M; Delli Pizzi S; Mosca A; Scherer R; Onofrj M; Sensi SL; ;
    J Alzheimers Dis; 2022; 85(4):1639-1655. PubMed ID: 34958014
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Machine learning analyses identify multi-modal frailty factors that selectively discriminate four cohorts in the Alzheimer's disease spectrum: a COMPASS-ND study.
    Bohn L; Drouin SM; McFall GP; Rolfson DB; Andrew MK; Dixon RA
    BMC Geriatr; 2023 Dec; 23(1):837. PubMed ID: 38082372
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Predicting Colorectal Cancer Survival Using Time-to-Event Machine Learning: Retrospective Cohort Study.
    Yang X; Qiu H; Wang L; Wang X
    J Med Internet Res; 2023 Oct; 25():e44417. PubMed ID: 37883174
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Explainable Machine Learning with Pairwise Interactions for Predicting Conversion from Mild Cognitive Impairment to Alzheimer's Disease Utilizing Multi-Modalities Data.
    Cai J; Hu W; Ma J; Si A; Chen S; Gong L; Zhang Y; Yan H; Chen F; For The Alzheimer's Disease Neuroimaging Initiative
    Brain Sci; 2023 Oct; 13(11):. PubMed ID: 38002495
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An explainable machine learning based prediction model for Alzheimer's disease in China longitudinal aging study.
    Yue L; Chen WG; Liu SC; Chen SB; Xiao SF
    Front Aging Neurosci; 2023; 15():1267020. PubMed ID: 38020780
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Machine learning application for classification of Alzheimer's disease stages using
    Park SW; Yeo NY; Lee J; Lee SH; Byun J; Park DY; Yum S; Kim JK; Byeon G; Kim Y; Jang JW;
    Biomed Eng Online; 2023 Apr; 22(1):40. PubMed ID: 37120537
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Cerebrospinal fluid synaptosomal-associated protein 25 is a key player in synaptic degeneration in mild cognitive impairment and Alzheimer's disease.
    Zhang H; Therriault J; Kang MS; Ng KP; Pascoal TA; Rosa-Neto P; Gauthier S;
    Alzheimers Res Ther; 2018 Aug; 10(1):80. PubMed ID: 30115118
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Classification of Alzheimer's disease and prediction of mild cognitive impairment-to-Alzheimer's conversion from structural magnetic resource imaging using feature ranking and a genetic algorithm.
    Beheshti I; Demirel H; Matsuda H;
    Comput Biol Med; 2017 Apr; 83():109-119. PubMed ID: 28260614
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Classification Algorithm by Combination of Feature Decomposition and Kernel Discriminant Analysis (KDA) for Automatic MR Brain Image Classification and AD Diagnosis.
    Elahifasaee F; Li F; Yang M
    Comput Math Methods Med; 2019; 2019():1437123. PubMed ID: 32082407
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Short- and Long-Term Functional Connectivity Differences Associated with Alzheimer's Disease Progression.
    Mondragón JD; Marapin R; De Deyn PP; Maurits N
    Dement Geriatr Cogn Dis Extra; 2021; 11(3):235-249. PubMed ID: 34721501
    [TBL] [Abstract][Full Text] [Related]  

  • 18. c-Diadem: a constrained dual-input deep learning model to identify novel biomarkers in Alzheimer's disease.
    Jemimah S; AlShehhi A;
    BMC Med Genomics; 2023 Oct; 16(Suppl 2):244. PubMed ID: 37833700
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Neuropsychological Contribution to Predict Conversion to Dementia in Patients with Mild Cognitive Impairment Due to Alzheimer's Disease.
    Silva D; Cardoso S; Guerreiro M; Maroco J; Mendes T; Alves L; Nogueira J; Baldeiras I; Santana I; de Mendonça A
    J Alzheimers Dis; 2020; 74(3):785-796. PubMed ID: 32083585
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Role of cerebrospinal fluid biomarkers to predict conversion to dementia in patients with mild cognitive impairment: a clinical cohort study.
    Tondelli M; Bedin R; Chiari A; Molinari MA; Bonifacio G; Lelli N; Trenti T; Nichelli P
    Clin Chem Lab Med; 2015 Feb; 53(3):453-60. PubMed ID: 25274948
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.