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

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

Additionally, we aimed to analyze the pattern of cognition-enhancing medication prescriptions before diagnosis. To achieve this, we developed a customized NLP pipeline using deep learning techniques, based on a prodromal dementia symptom ontology that we established. This retrospective study used data from the UConn Health Center between 2010 and 2018.

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

JMIR Aging 2025;8:e65221

Patterns of the Health and Economic Burden of 33 Rare Diseases in China: Nationwide Web-Based Study

Patterns of the Health and Economic Burden of 33 Rare Diseases in China: Nationwide Web-Based Study

To better understand the scope and magnitude of challenges encountered by RD populations and to inform targeted interventions and more effective resource allocation, this study aimed to examine the pattern of the health and economic burdens of RDs in China among adult and pediatric populations, using data from a nationwide survey. This study was a nationwide, internet-based cross-sectional survey conducted in China between August 2019 and January 2020.

Jiazhou Yu, Shanquan Chen, Huanyu Zhang, Shuyang Zhang, Dong Dong

JMIR Public Health Surveill 2024;10:e57353

Physical Activity Pattern of Adults With Metabolic Syndrome Risk Factors: Time-Series Cluster Analysis

Physical Activity Pattern of Adults With Metabolic Syndrome Risk Factors: Time-Series Cluster Analysis

There were 12 (26%) participants in the shifting group; 10 (21%) participants displayed an early bird pattern during weekdays (cluster 1) but changed to the night owl pattern on weekends (cluster 4). The remaining 2 (4%) participants exhibited the opposite pattern, that is, a night owl pattern during weekdays (cluster 4) and an early bird pattern on weekends (cluster 1).

Junhyoung Kim, Jin-Young Choi, Hana Kim, Taeksang Lee, Jaeyoung Ha, Sangyi Lee, Jungmi Park, Gyeong-Suk Jeon, Sung-il Cho

JMIR Mhealth Uhealth 2023;11:e50663

Monitoring School Absenteeism for Influenza-Like Illness Surveillance: Systematic Review and Meta-analysis

Monitoring School Absenteeism for Influenza-Like Illness Surveillance: Systematic Review and Meta-analysis

Overall, a similar pattern was reported within school absenteeism and community surveillance in all studies (Table 3), except 2, which reported no detected association [15,52]. Moreover, 6 studies [35,36,43,47,49,50] compared the peak of school absent and peak of epidemics. Among these, 4 [35,36,43,50], 1 [49], and 1 [47] studies found that school absenteeism peaked before, at the same time, and after the peak of community surveillance, respectively.

Tim K Tsang, Xiaotong Huang, Yiyang Guo, Eric H Y Lau, Benjamin J Cowling, Dennis K M Ip

JMIR Public Health Surveill 2023;9:e41329