Prediction of congenital heart disease for newborns: comparative analysis of Holt-Winters exponential smoothing and autoregressive integrated moving average models

被引:0
|
作者
Weize Xu
Zehua Shao
Hongliang Lou
Jianchuan Qi
Jihua Zhu
Die Li
Qiang Shu
机构
[1] Zhejiang University School of Medicine,Department of Cardiac Surgery, The Children’s Hospital
[2] National Clinical Research Center for Child Health,Department of Nursing, The Children’s Hospital
[3] Zhengzhou University People’s Hospital,undefined
[4] Henan Provincial People’s Hospital,undefined
[5] Jinhua Maternal and Child Health Care Hospital,undefined
[6] Zhejiang University School of Medicine,undefined
[7] National Clinical Research Center for Child Health,undefined
关键词
Congenital heart disease; Newborns; Time series; Holt-Winters exponential smoothing; Autoregressive integrated moving average model;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [21] Antipsychotic drugs use in Spain during the COVID-19 pandemic: A time series analysis using autoregressive integrated moving average (arima) and exponential smoothing (ETS) models
    Machin, Raquel Gutierrez
    Gonzalez, Diana
    Castillo, Belen
    Monreal, Marta
    Huerta, Consuelo
    Rodriguez, Alfonso
    Montero, Dolores
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2022, 31 : 514 - 515
  • [22] Optimization of pumping schedule based on water demand forecasting using a combined model of autoregressive integrated moving average and exponential smoothing
    Kang, Hyeong-Seok
    Kim, Hyunook
    Lee, Jaekyeong
    Lee, Ingyu
    Kwak, Byoung-Youn
    Im, Hyungjoon
    WATER SCIENCE AND TECHNOLOGY-WATER SUPPLY, 2015, 15 (01): : 188 - 195
  • [23] Comparison of exponential smoothing method and autoregressive integrated moving average (ARIMA) method in predicting dengue fever cases in the city of Palembang
    Munarsih, E.
    Saluza, I
    INTERNATIONAL CONFERENCE ON MATHEMATICS AND SCIENCE EDUCATION 2019 (ICMSCE 2019), 2020, 1521
  • [24] Using autoregressive integrated moving average models for time series analysis of observational data
    Wagner, Brandon
    Cleland, Kelly
    BMJ-BRITISH MEDICAL JOURNAL, 2023, 383
  • [25] Using the Single-Exponential-Smoothing Time Series Model under the Additive Holt-Winters Algorithm with Decomposition and Residual Analysis to Forecast the Reinsurance-Revenues Dataset
    Abdullah, Murtadha Mansour
    PAKISTAN JOURNAL OF STATISTICS AND OPERATION RESEARCH, 2024, 20 (02) : 311 - 340
  • [26] Prediction of Length of Day Using Singular Spectrum Analysis and Autoregressive Integrated Moving Average Model
    Lei Y.
    Zhao D.
    Cai H.
    Xu J.
    Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2023, 48 (12): : 2040 - 2048
  • [27] Analysis and prediction of Caspian Sea level pattern anomalies observed by satellite altimetry using autoregressive integrated moving average models
    Imani, Moslem
    You, Rey-Jer
    Kuo, Chung-Yen
    ARABIAN JOURNAL OF GEOSCIENCES, 2014, 7 (08) : 3339 - 3348
  • [28] Analysis and prediction of Caspian Sea level pattern anomalies observed by satellite altimetry using autoregressive integrated moving average models
    Moslem Imani
    Rey-Jer You
    Chung-Yen Kuo
    Arabian Journal of Geosciences, 2014, 7 : 3339 - 3348
  • [29] Wind Speed Prediction based on Spatio-Temporal Covariance Model Using Autoregressive Integrated Moving Average Regression Smoothing
    Wang, Yu
    Zhu, Changan
    Ye, Xiaodong
    Zhao, Jianghai
    Wang, Deji
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2021, 35 (08)
  • [30] A Comparison Between Seasonal Autoregressive Integrated Moving Average (SARIMA) and Exponential Smoothing (ES) Based on Time Series Model for Forecasting Road Accidents
    Muhammad Babar Ali Rabbani
    Muhammad Ali Musarat
    Wesam Salah Alaloul
    Muhammad Shoaib Rabbani
    Ahsen Maqsoom
    Saba Ayub
    Hamna Bukhari
    Muhammad Altaf
    Arabian Journal for Science and Engineering, 2021, 46 : 11113 - 11138