Published on 09.07.18 in Vol 20, No 7 (2018): July
Works citing "Unsupervised Machine Learning to Identify High Likelihood of Dementia in Population-Based Surveys: Development and Validation Study"
According to Crossref, the following articles are citing this article (DOI 10.2196/10493):
(note that this is only a small subset of citations)
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Piau A, Wild K, Mattek N, Kaye J. Current State of Digital Biomarker Technologies for Real-Life, Home-Based Monitoring of Cognitive Function for Mild Cognitive Impairment to Mild Alzheimer Disease and Implications for Clinical Care: Systematic Review. Journal of Medical Internet Research 2019;21(8):e12785
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Morley J, Machado C, Burr C, Cowls J, Taddeo M, Floridi L. The Debate on the Ethics of AI in Health Care: a Reconstruction and Critical Review. SSRN Electronic Journal 2019;
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. High-performance medicine: the convergence of human and artificial intelligence. Nature Medicine 2019;25(1):44
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Zhu W, Xie L, Han J, Guo X. The Application of Deep Learning in Cancer Prognosis Prediction. Cancers 2020;12(3):603
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Shen X, Wang G, Kwan RY, Choi K. Using Dual Neural Network Architecture to Detect the Risk of Dementia With Community Health Data: Algorithm Development and Validation Study. JMIR Medical Informatics 2020;8(8):e19870
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Cleret de Langavant L, Bayen E, Bachoud‐Lévi A, Yaffe K. Approximating dementia prevalence in population‐based surveys of aging worldwide: An unsupervised machine learning approach. Alzheimer's & Dementia: Translational Research & Clinical Interventions 2020;6(1)
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Khan A, Zubair S. Longitudinal Magnetic Resonance Imaging as a Potential Correlate in the Diagnosis of Alzheimer Disease: Exploratory Data Analysis. JMIR Biomedical Engineering 2020;5(1):e14389
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Shen J, Zhang CJP, Jiang B, Chen J, Song J, Liu Z, He Z, Wong SY, Fang P, Ming W. Artificial Intelligence Versus Clinicians in Disease Diagnosis: Systematic Review. JMIR Medical Informatics 2019;7(3):e10010
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Graham SA, Lee EE, Jeste DV, Van Patten R, Twamley EW, Nebeker C, Yamada Y, Kim H, Depp CA. Artificial intelligence approaches to predicting and detecting cognitive decline in older adults: A conceptual review. Psychiatry Research 2020;284:112732
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Luo H, Lau KK, Wong GHY, Chan W, Mak HKF, Zhang Q, Knapp M, Wong ICK. Predicting dementia diagnosis from cognitive footprints in electronic health records: a case–control study protocol. BMJ Open 2020;10(11):e043487
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Hu M, Shu X, Yu G, Wu X, Välimäki M, Feng H. A Risk Prediction Model Based on Machine Learning for Cognitive Impairment Among Chinese Community-Dwelling Elderly People With Normal Cognition: Development and Validation Study. Journal of Medical Internet Research 2021;23(2):e20298
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Syed M, Syed S, Sexton K, Syeda HB, Garza M, Zozus M, Syed F, Begum S, Syed AU, Sanford J, Prior F. Application of Machine Learning in Intensive Care Unit (ICU) Settings Using MIMIC Dataset: Systematic Review. Informatics 2021;8(1):16
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Jin H, Chien S, Meijer E, Khobragade P, Lee J. Learning From Clinical Consensus Diagnosis in India to Facilitate Automatic Classification of Dementia: Machine Learning Study. JMIR Mental Health 2021;8(5):e27113
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Froud R, Hansen SH, Ruud HK, Foss J, Ferguson L, Fredriksen PM. Relative Performance of Machine Learning and Linear Regression in Predicting Quality of Life and Academic Performance of School Children in Norway: Data Analysis of a Quasi-Experimental Study. Journal of Medical Internet Research 2021;23(7):e22021
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Watson NF, Fernandez CR. Artificial intelligence and sleep: Advancing sleep medicine. Sleep Medicine Reviews 2021;59:101512
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Dashwood M, Churchhouse G, Young M, Kuruvilla T. Artificial intelligence as an aid to diagnosing dementia: an overview. Progress in Neurology and Psychiatry 2021;25(3):42
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Rostamzadeh N, Abdullah SS, Sedig K, Garg AX, McArthur E. VERONICA: Visual Analytics for Identifying Feature Groups in Disease Classification. Information 2021;12(9):344
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Brogi S, Calderone V. Artificial Intelligence in Translational Medicine. International Journal of Translational Medicine 2021;1(3):223
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Hariry RE, Barenji RV, Paradkar A. Towards Pharma 4.0 in clinical trials: A future-orientated perspective. Drug Discovery Today 2022;27(1):315
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Liu L, Wan H, Liu L, Wang J, Tang Y, Cui S, Li Y. Deep Learning Provides a New Magnetic Resonance Imaging-Based Prognostic Biomarker for Recurrence Prediction in High-Grade Serous Ovarian Cancer. Diagnostics 2023;13(4):748
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Bucholc M, Titarenko S, Ding X, Canavan C, Chen T. A hybrid machine learning approach for prediction of conversion from mild cognitive impairment to dementia. Expert Systems with Applications 2023;217:119541
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Santander-Cruz Y, Salazar-Colores S, Paredes-García WJ, Guendulain-Arenas H, Tovar-Arriaga S. Semantic Feature Extraction Using SBERT for Dementia Detection. Brain Sciences 2022;12(2):270
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Xu H, Intrator O, Culakova E, Bowblis JR. Changing landscape of nursing homes serving residents with dementia and mental illnesses. Health Services Research 2022;57(3):505
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Ahmadzadeh M, Cosco TD, Best JR, Christie GJ, DiPaola S, Rashid TA. Predictors of the rate of cognitive decline in older adults using machine learning. PLOS ONE 2023;18(3):e0280029
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Cleret de Langavant L, Roze E, Petit A, Tressières B, Gharbi‐Meliani A, Chaumont H, Michel PP, Bachoud‐Lévi A, Remy P, Edragas R, Lannuzel A. Annonaceae Consumption Worsens Disease Severity and Cognitive Deficits in Degenerative Parkinsonism. Movement Disorders 2022;37(12):2355
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Ge X, Cui K, Liu L, Qin Y, Cui J, Han H, Luo Y, Yu H. Screening and predicting progression from high-risk mild cognitive impairment to Alzheimer’s disease. Scientific Reports 2021;11(1)
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Xu Q, Zou K, Deng Z, Zhou J, Dang X, Zhu S, Liu L, Fang C. A Study of Dementia Prediction Models Based on Machine Learning with Survey Data of Community-Dwelling Elderly People in China. Journal of Alzheimer's Disease 2022;89(2):669
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Renn BN, Schurr M, Zaslavsky O, Pratap A. Artificial Intelligence: An Interprofessional Perspective on Implications for Geriatric Mental Health Research and Care. Frontiers in Psychiatry 2021;12
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Javeed A, Dallora AL, Berglund JS, Ali A, Ali L, Anderberg P. Machine Learning for Dementia Prediction: A Systematic Review and Future Research Directions. Journal of Medical Systems 2023;47(1)
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Twait EL, Andaur Navarro CL, Gudnason V, Hu Y, Launer LJ, Geerlings MI. Dementia prediction in the general population using clinically accessible variables: a proof-of-concept study using machine learning. The AGES-Reykjavik study. BMC Medical Informatics and Decision Making 2023;23(1)
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Khera P, Kumar N. Decision support framework for predicting rate of gait recovery with optimized treatment planning. Expert Systems with Applications 2024;238:121721
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Garcia Valencia OA, Thongprayoon C, Jadlowiec CC, Mao SA, Miao J, Cheungpasitporn W. Enhancing Kidney Transplant Care through the Integration of Chatbot. Healthcare 2023;11(18):2518
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Ren Y, Shahbaba B, Stark CEL. Improving clinical efficiency in screening for cognitive impairment due to Alzheimer's. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 2023;15(4)
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Gharbi-Meliani A, Husson F, Vandendriessche H, Bayen E, Yaffe K, Bachoud-Lévi A, Cleret de Langavant L. Identification of high likelihood of dementia in population-based surveys using unsupervised clustering: a longitudinal analysis. Alzheimer's Research & Therapy 2023;15(1)
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Kamruzzaman M, Song A, Bielskas M, Bhattacharya P, Madden G, Klein E, Deng X, Vullikanti A. Improving risk prediction of Methicillin-resistant Staphylococcus aureus (MRSA) using network features (Preprint). JMIR AI 2023;
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Brandão M, Mendes F, Martins M, Cardoso P, Macedo G, Mascarenhas T, Mascarenhas Saraiva M. Revolutionizing Women’s Health: A Comprehensive Review of Artificial Intelligence Advancements in Gynecology. Journal of Clinical Medicine 2024;13(4):1061
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Klee M, Langa KM, Leist AK. Performance of probable dementia classification in a European multi-country survey. Scientific Reports 2024;14(1)
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According to Crossref, the following books are citing this article (DOI 10.2196/10493):
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Tuena C, Chiappini M, Repetto C, Riva G. Comprehensive Clinical Psychology. 2022. :10
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Tuena C, Semonella M, Fernández-Álvarez J, Colombo D, Cipresso P. P5 eHealth: An Agenda for the Health Technologies of the Future. 2020. Chapter 5:71
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Morley J, Machado CCV, Burr C, Cowls J, Joshi I, Taddeo M, Floridi L. Ethics, Governance, and Policies in Artificial Intelligence. 2021. Chapter 18:313
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Watson NF, Goldstein C, Rusk S, Fernandez C. Encyclopedia of Sleep and Circadian Rhythms. 2023. :43
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