Big Data Analytics for Elder Care

Edentulousness and the Likelihood of Becoming a Centenarian: Longitudinal Observational Study

Xindi Wei, Longfei Zhuang, Yuan Li, Junyu Shi, Yijie Yang, Hongchang Lai, Beilei Liu

JMIR Aging 2025 (Mar 21); 8:e68444

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Real-World Insights Into Dementia Diagnosis Trajectory and Clinical Practice Patterns Unveiled by Natural Language Processing: Development and Usability Study

Hunki Paek, Richard H Fortinsky, Kyeryoung Lee, Liang-Chin Huang, Yazeed S Maghaydah, George A Kuchel, Xiaoyan Wang

JMIR Aging 2025 (Feb 25); 8:e65221

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Predictive Validity of Hospital-Associated Complications of Older People Identified Using Diagnosis Procedure Combination Data From an Acute Care Hospital in Japan: Observational Study

Seigo Mitsutake, Tatsuro Ishizaki, Shohei Yano, Takumi Hirata, Kae Ito, Ko Furuta, Yoshitomo Shimazaki, Hideki Ito, Alison Mudge, Kenji Toba

JMIR Aging 2025 (Feb 06); 8:e68267

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Factors Influencing Drug Prescribing for Patients With Hospitalization History in Circulatory Disease–Patient Severity, Composite Adherence, and Physician-Patient Relationship: Retrospective Cohort Study

Tomoyuki Takura, Hiroyoshi Yokoi, Asao Honda

JMIR Aging 2024 (Dec 06); 7:e59234

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Predicting Adherence to Computer-Based Cognitive Training Programs Among Older Adults: Study of Domain Adaptation and Deep Learning

Ankita Singh, Shayok Chakraborty, Zhe He, Yuanying Pang, Shenghao Zhang, Ronast Subedi, Mia Liza Lustria, Neil Charness, Walter Boot

JMIR Aging 2024 (Sep 16); 7:e53793

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Predictive Data Analytics in Telecare and Telehealth: Systematic Scoping Review

Euan Anderson, Marilyn Lennon, Kimberley Kavanagh, Natalie Weir, David Kernaghan, Marc Roper, Emma Dunlop, Linda Lapp

Online J Public Health Inform 2024 (Aug 07); 16:e57618

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The Frailty Trajectory’s Additional Edge Over the Frailty Index: Retrospective Cohort Study of Veterans With Heart Failure

Javad Razjouyan, Ariela R Orkaby, Molly J Horstman, Parag Goyal, Orna Intrator, Aanand D Naik

JMIR Aging 2024 (Jun 27); 7:e56345

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Visual Function and Driving Performance Under Different Lighting Conditions in Older Drivers: Preliminary Results From an Observational Study

Jingzhen Yang, Enas Alshaikh, Deyue Yu, Thomas Kerwin, Christopher Rundus, Fangda Zhang, Cameron G Wrabel, Landon Perry, Zhong-Lin Lu

JMIR Form Res 2024 (Jun 26); 8:e58465

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Association of the Type of Public Pension With Mental Health Among South Korean Older Adults: Longitudinal Observational Study

Seung Hoon Kim, Hyunkyu Kim, Sung Hoon Jeong, Eun-Cheol Park

JMIR Public Health Surveill 2024 (May 02); 10:e49129

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The Alzheimer’s Knowledge Base: A Knowledge Graph for Alzheimer Disease Research

Joseph D Romano, Van Truong, Rachit Kumar, Mythreye Venkatesan, Britney E Graham, Yun Hao, Nick Matsumoto, Xi Li, Zhiping Wang, Marylyn D Ritchie, Li Shen, Jason H Moore

J Med Internet Res 2024 (Apr 18); 26:e46777

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Development and Validation of a Prognostic Classification Model Predicting Postoperative Adverse Outcomes in Older Surgical Patients Using a Machine Learning Algorithm: Retrospective Observational Network Study

Jung-Yeon Choi, Sooyoung Yoo, Wongeun Song, Seok Kim, Hyunyoung Baek, Jun Suh Lee, Yoo-Seok Yoon, Seonghae Yoon, Hae-Young Lee, Kwang-il Kim

J Med Internet Res 2023 (Nov 13); 25:e42259

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Diabetes Life Expectancy Prediction Model Inputs and Results From Patient Surveys Compared With Electronic Health Record Abstraction: Survey Study

Sean Bernstein, Sarah Gilson, Mengqi Zhu, Aviva G Nathan, Michael Cui, Valerie G Press, Sachin Shah, Parmida Zarei, Neda Laiteerapong, Elbert S Huang

JMIR Aging 2023 (Nov 09); 6:e44037

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Use of Artificial Intelligence in the Identification and Diagnosis of Frailty Syndrome in Older Adults: Scoping Review

Daniel Velazquez-Diaz, Juan E Arco, Andres Ortiz, Verónica Pérez-Cabezas, David Lucena-Anton, Jose A Moral-Munoz, Alejandro Galán-Mercant

J Med Internet Res 2023 (Oct 20); 25:e47346

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Examining the Impact of Selected Sociodemographic Factors and Cancer-Related Fatalistic Beliefs on Patient Engagement via Health Information Technology Among Older Adults: Cross-Sectional Analysis

Maryum Zaidi, Priscilla Gazarian, Heather Mattie, Lisa Kennedy Sheldon, C Ann Gakumo

JMIR Aging 2023 (Oct 20); 6:e44777

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A Model for Estimating Biological Age From Physiological Biomarkers of Healthy Aging: Cross-sectional Study

Karina Louise Skov Husted, Andreas Brink-Kjær, Mathilde Fogelstrøm, Pernille Hulst, Akita Bleibach, Kaj-Åge Henneberg, Helge Bjarup Dissing Sørensen, Flemming Dela, Jens Christian Brings Jacobsen, Jørn Wulff Helge

JMIR Aging 2022 (May 10); 5(2):e35696

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Predicting Falls in Long-term Care Facilities: Machine Learning Study

Rahul Thapa, Anurag Garikipati, Sepideh Shokouhi, Myrna Hurtado, Gina Barnes, Jana Hoffman, Jacob Calvert, Lynne Katzmann, Qingqing Mao, Ritankar Das

JMIR Aging 2022 (Apr 01); 5(2):e35373

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Predicting Working Memory in Healthy Older Adults Using Real-Life Language and Social Context Information: A Machine Learning Approach

Andrea Ferrario, Minxia Luo, Angelina J Polsinelli, Suzanne A Moseley, Matthias R Mehl, Kristina Yordanova, Mike Martin, Burcu Demiray

JMIR Aging 2022 (Mar 08); 5(1):e28333

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Detecting Parkinson Disease Using a Web-Based Speech Task: Observational Study

Wasifur Rahman, Sangwu Lee, Md Saiful Islam, Victor Nikhil Antony, Harshil Ratnu, Mohammad Rafayet Ali, Abdullah Al Mamun, Ellen Wagner, Stella Jensen-Roberts, Emma Waddell, Taylor Myers, Meghan Pawlik, Julia Soto, Madeleine Coffey, Aayush Sarkar, Ruth Schneider, Christopher Tarolli, Karlo Lizarraga, Jamie Adams, Max A Little, E Ray Dorsey, Ehsan Hoque

J Med Internet Res 2021 (Oct 19); 23(10):e26305

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Using Big Data to Estimate Dementia Prevalence in New Zealand: Protocol for an Observational Study

Claudia Rivera-Rodriguez, Gary Cheung, Sarah Cullum

JMIR Res Protoc 2021 (Jan 06); 10(1):e20225

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Artificial Intelligence–Powered Digital Health Platform and Wearable Devices Improve Outcomes for Older Adults in Assisted Living Communities: Pilot Intervention Study

Gerald Wilmink, Katherine Dupey, Schon Alkire, Jeffrey Grote, Gregory Zobel, Howard M Fillit, Satish Movva

JMIR Aging 2020 (Sep 10); 3(2):e19554

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