These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
134 related articles for article (PubMed ID: 29995920)
1. A machine learning method to monitor China's AIDS epidemics with data from Baidu trends. Nan Y; Gao Y PLoS One; 2018; 13(7):e0199697. PubMed ID: 29995920 [TBL] [Abstract][Full Text] [Related]
2. Using Baidu Search Engine to Monitor AIDS Epidemics Inform for Targeted intervention of HIV/AIDS in China. Li K; Liu M; Feng Y; Ning C; Ou W; Sun J; Wei W; Liang H; Shao Y Sci Rep; 2019 Jan; 9(1):320. PubMed ID: 30674890 [TBL] [Abstract][Full Text] [Related]
3. Using the Baidu Search Index to Predict the Incidence of HIV/AIDS in China. He G; Chen Y; Chen B; Wang H; Shen L; Liu L; Suolang D; Zhang B; Ju G; Zhang L; Du S; Jiang X; Pan Y; Min Z Sci Rep; 2018 Jun; 8(1):9038. PubMed ID: 29899360 [TBL] [Abstract][Full Text] [Related]
4. Using Baidu search index to monitor and predict newly diagnosed cases of HIV/AIDS, syphilis and gonorrhea in China: estimates from a vector autoregressive (VAR) model. Huang R; Luo G; Duan Q; Zhang L; Zhang Q; Tang W; Smith MK; Li J; Zou H BMJ Open; 2020 Mar; 10(3):e036098. PubMed ID: 32209633 [TBL] [Abstract][Full Text] [Related]
5. Forecasting influenza epidemics by integrating internet search queries and traditional surveillance data with the support vector machine regression model in Liaoning, from 2011 to 2015. Liang F; Guan P; Wu W; Huang D PeerJ; 2018; 6():e5134. PubMed ID: 29967755 [TBL] [Abstract][Full Text] [Related]
6. The prediction of influenza-like illness using national influenza surveillance data and Baidu query data. Wei S; Lin S; Wenjing Z; Shaoxia S; Yuejie Y; Yujie H; Shu Z; Zhong L; Ti L BMC Public Health; 2024 Feb; 24(1):513. PubMed ID: 38369456 [TBL] [Abstract][Full Text] [Related]
7. Developing a dengue forecast model using machine learning: A case study in China. Guo P; Liu T; Zhang Q; Wang L; Xiao J; Zhang Q; Luo G; Li Z; He J; Zhang Y; Ma W PLoS Negl Trop Dis; 2017 Oct; 11(10):e0005973. PubMed ID: 29036169 [TBL] [Abstract][Full Text] [Related]
8. Search trends and prediction of human brucellosis using Baidu index data from 2011 to 2018 in China. Zhao C; Yang Y; Wu S; Wu W; Xue H; An K; Zhen Q Sci Rep; 2020 Apr; 10(1):5896. PubMed ID: 32246053 [TBL] [Abstract][Full Text] [Related]
9. Monitoring seasonal influenza epidemics by using internet search data with an ensemble penalized regression model. Guo P; Zhang J; Wang L; Yang S; Luo G; Deng C; Wen Y; Zhang Q Sci Rep; 2017 Apr; 7():46469. PubMed ID: 28422149 [TBL] [Abstract][Full Text] [Related]
10. Influenza surveillance with Baidu index and attention-based long short-term memory model. Dai S; Han L PLoS One; 2023; 18(1):e0280834. PubMed ID: 36689543 [TBL] [Abstract][Full Text] [Related]
11. Can internet search queries be used for dengue fever surveillance in China? Guo P; Wang L; Zhang Y; Luo G; Zhang Y; Deng C; Zhang Q; Zhang Q Int J Infect Dis; 2017 Oct; 63():74-76. PubMed ID: 28797591 [TBL] [Abstract][Full Text] [Related]
12. Identifying Potential Norovirus Epidemics in China via Internet Surveillance. Liu K; Huang S; Miao ZP; Chen B; Jiang T; Cai G; Jiang Z; Chen Y; Wang Z; Gu H; Chai C; Jiang J J Med Internet Res; 2017 Aug; 19(8):e282. PubMed ID: 28790023 [TBL] [Abstract][Full Text] [Related]
13. Accurate Forecasting of Emergency Department Arrivals With Internet Search Index and Machine Learning Models: Model Development and Performance Evaluation. Fan B; Peng J; Guo H; Gu H; Xu K; Wu T JMIR Med Inform; 2022 Jul; 10(7):e34504. PubMed ID: 35857360 [TBL] [Abstract][Full Text] [Related]
14. Using internet search data to predict new HIV diagnoses in China: a modelling study. Zhang Q; Chai Y; Li X; Young SD; Zhou J BMJ Open; 2018 Oct; 8(10):e018335. PubMed ID: 30337302 [TBL] [Abstract][Full Text] [Related]
15. China's Economic Forecast Based on Machine Learning and Quantitative Easing. Qiu C Comput Intell Neurosci; 2022; 2022():2404174. PubMed ID: 35378809 [TBL] [Abstract][Full Text] [Related]
16. Using the Baidu index to predict trends in the incidence of tuberculosis in Jiangsu Province, China. Wang Y; Zhou H; Zheng L; Li M; Hu B Front Public Health; 2023; 11():1203628. PubMed ID: 37533520 [TBL] [Abstract][Full Text] [Related]
17. Tracking Chinese Online Activity and Interest in Osteoporosis Using the Baidu Index. Wu J; Zheng Y; Lin X; Lin S; Huang H Cureus; 2024 Apr; 16(4):e57644. PubMed ID: 38707056 [TBL] [Abstract][Full Text] [Related]
18. A comparative study on the prediction of the BP artificial neural network model and the ARIMA model in the incidence of AIDS. Li Z; Li Y BMC Med Inform Decis Mak; 2020 Jul; 20(1):143. PubMed ID: 32616052 [TBL] [Abstract][Full Text] [Related]
19. Predicting the HIV/AIDS epidemic and measuring the effect of mobility in mainland China. Xiao Y; Tang S; Zhou Y; Smith RJ; Wu J; Wang N J Theor Biol; 2013 Jan; 317():271-85. PubMed ID: 23063617 [TBL] [Abstract][Full Text] [Related]
20. [Estimation and prediction of the epidemic situation of acquired immunodeficiency syndrome in Jiangsu province]. Lei N; Peng ZH; Huan XP; Chen X; Yu RB; Yang HT Zhonghua Yu Fang Yi Xue Za Zhi; 2010 Nov; 44(11):1012-7. PubMed ID: 21215130 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]