Cargando…
Estimating Rare Disease Incidences With Large-scale Internet Search Data: Development and Evaluation of a Two-step Machine Learning Method
BACKGROUND: As rare diseases (RDs) receive increasing attention, obtaining accurate RD incidence estimates has become an essential concern in public health. Since RDs are difficult to diagnose, include diverse types, and have scarce cases, traditional epidemiological methods are costly in RD registr...
Autores principales: | Li, Jiayu, He, Zhiyu, Zhang, Min, Ma, Weizhi, Jin, Ye, Zhang, Lei, Zhang, Shuyang, Liu, Yiqun, Ma, Shaoping |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10182453/ http://dx.doi.org/10.2196/42721 |
Ejemplares similares
-
Epidemiological research on rare diseases using large-scale online search queries and reported case data
por: Zhang, Lei, et al.
Publicado: (2023) -
Know Yourself: Physical and Psychological Self-Awareness With Lifelog
por: Li, Jiayu, et al.
Publicado: (2021) -
Using machine learning to estimate the incidence rate of intimate partner violence
por: Chen, Zhuo, et al.
Publicado: (2023) -
Estimation of Asthma Symptom Onset Using Internet Search Queries: Lag-Time Series Analysis
por: Hswen, Yulin, et al.
Publicado: (2021) -
The effects of age and sex on the incidence of multiple step saccades and corrective saccades
por: Ma, Wenbo, et al.
Publicado: (2022)