135 related articles for article (PubMed ID: 35962522)
1. Comparison of SARIMA model and Holt-Winters model in predicting the incidence of Sjögren's syndrome.
Wang S; Wei F; Li H; Wang Z; Wei P
Int J Rheum Dis; 2022 Nov; 25(11):1263-1269. PubMed ID: 35962522
[TBL] [Abstract][Full Text] [Related]
2. Comparison of SARIMA model, Holt-winters model and ETS model in predicting the incidence of foodborne disease.
Xian X; Wang L; Wu X; Tang X; Zhai X; Yu R; Qu L; Ye M
BMC Infect Dis; 2023 Nov; 23(1):803. PubMed ID: 37974072
[TBL] [Abstract][Full Text] [Related]
3. Time series prediction of under-five mortality rates for Nigeria: comparative analysis of artificial neural networks, Holt-Winters exponential smoothing and autoregressive integrated moving average models.
Adeyinka DA; Muhajarine N
BMC Med Res Methodol; 2020 Dec; 20(1):292. PubMed ID: 33267817
[TBL] [Abstract][Full Text] [Related]
4. Application of exponential smoothing method and SARIMA model in predicting the number of admissions in a third-class hospital in Zhejiang Province.
Yang W; Su A; Ding L
BMC Public Health; 2023 Nov; 23(1):2309. PubMed ID: 37993836
[TBL] [Abstract][Full Text] [Related]
5. Prediction of congenital heart disease for newborns: comparative analysis of Holt-Winters exponential smoothing and autoregressive integrated moving average models.
Xu W; Shao Z; Lou H; Qi J; Zhu J; Li D; Shu Q
BMC Med Res Methodol; 2022 Oct; 22(1):257. PubMed ID: 36183070
[TBL] [Abstract][Full Text] [Related]
6. Prediction of influenza outbreaks in Fuzhou, China: comparative analysis of forecasting models.
Chen Q; Zheng X; Shi H; Zhou Q; Hu H; Sun M; Xu Y; Zhang X
BMC Public Health; 2024 May; 24(1):1399. PubMed ID: 38796443
[TBL] [Abstract][Full Text] [Related]
7. Comparison of time series models for predicting campylobacteriosis risk in New Zealand.
Al-Sakkaf A; Jones G
Zoonoses Public Health; 2014 May; 61(3):167-74. PubMed ID: 23551848
[TBL] [Abstract][Full Text] [Related]
8. Applying SARIMA, ETS, and hybrid models for prediction of tuberculosis incidence rate in Taiwan.
Kuan MM
PeerJ; 2022; 10():e13117. PubMed ID: 36164599
[TBL] [Abstract][Full Text] [Related]
9. Application of three prediction models in pesticide poisoning.
Sun P; Zhang L; Han L; Zhang H; Shen H; Zhu B; Wang B
Environ Sci Pollut Res Int; 2022 Apr; 29(20):30584-30593. PubMed ID: 35000167
[TBL] [Abstract][Full Text] [Related]
10. Comparative Analysis of Different Univariate Forecasting Methods in Modelling and Predicting the Romanian Unemployment Rate for the Period 2021-2022.
Davidescu AA; Apostu SA; Paul A
Entropy (Basel); 2021 Mar; 23(3):. PubMed ID: 33803384
[TBL] [Abstract][Full Text] [Related]
11. Seasonality and Trend Forecasting of Tuberculosis Incidence in Chongqing, China.
Liao Z; Zhang X; Zhang Y; Peng D
Interdiscip Sci; 2019 Mar; 11(1):77-85. PubMed ID: 30734907
[TBL] [Abstract][Full Text] [Related]
12. Forecasting the incidence of acute haemorrhagic conjunctivitis in Chongqing: a time series analysis.
Qiu H; Zeng D; Yi J; Zhu H; Hu L; Jing D; Ye M
Epidemiol Infect; 2020 Aug; 148():e193. PubMed ID: 32807257
[TBL] [Abstract][Full Text] [Related]
13. A Combined Model of SARIMA and Prophet Models in Forecasting AIDS Incidence in Henan Province, China.
Luo Z; Jia X; Bao J; Song Z; Zhu H; Liu M; Yang Y; Shi X
Int J Environ Res Public Health; 2022 May; 19(10):. PubMed ID: 35627447
[TBL] [Abstract][Full Text] [Related]
14. SARFIMA model prediction for infectious diseases: application to hemorrhagic fever with renal syndrome and comparing with SARIMA.
Qi C; Zhang D; Zhu Y; Liu L; Li C; Wang Z; Li X
BMC Med Res Methodol; 2020 Sep; 20(1):243. PubMed ID: 32993517
[TBL] [Abstract][Full Text] [Related]
15. Application of a combined model with seasonal autoregressive integrated moving average and support vector regression in forecasting hand-foot-mouth disease incidence in Wuhan, China.
Zou JJ; Jiang GF; Xie XX; Huang J; Yang XB
Medicine (Baltimore); 2019 Feb; 98(6):e14195. PubMed ID: 30732135
[TBL] [Abstract][Full Text] [Related]
16. Seasonal behavior and forecasting trends of tuberculosis incidence in Holy Kerbala, Iraq.
Mohammed SH; Ahmed MM; Al-Mousawi AM; Azeez A
Int J Mycobacteriol; 2018; 7(4):361-367. PubMed ID: 30531036
[TBL] [Abstract][Full Text] [Related]
17. Prediction of reported monthly incidence of hepatitis B in Hainan Province of China based on SARIMA-BPNN model.
Fang K; Cao L; Fu Z; Li W
Medicine (Baltimore); 2023 Oct; 102(41):e35054. PubMed ID: 37832091
[TBL] [Abstract][Full Text] [Related]
18. Evaluation of prediction models for the malaria incidence in Marodijeh Region, Somaliland.
Mohamed J; Mohamed AI; Daud EI
J Parasit Dis; 2022 Jun; 46(2):395-408. PubMed ID: 35692477
[TBL] [Abstract][Full Text] [Related]
19. A hybrid seasonal prediction model for tuberculosis incidence in China.
Cao S; Wang F; Tam W; Tse LA; Kim JH; Liu J; Lu Z
BMC Med Inform Decis Mak; 2013 May; 13():56. PubMed ID: 23638635
[TBL] [Abstract][Full Text] [Related]
20. Statistical methods for predicting tuberculosis incidence based on data from Guangxi, China.
Zheng Y; Zhang L; Wang L; Rifhat R
BMC Infect Dis; 2020 Apr; 20(1):300. PubMed ID: 32321419
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]