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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

136 related articles for article (PubMed ID: 34738002)

  • 1. Prediction of Obstetric Patient Flow and Horizontal Allocation of Medical Resources Based on Time Series Analysis.
    Li H; Mu D; Wang P; Li Y; Wang D
    Front Public Health; 2021; 9():646157. PubMed ID: 34738002
    [No Abstract]   [Full Text] [Related]  

  • 2. Analysis of Environmental and Social Significant Factors Affecting the Flow of Maternal Patients in Jilin, China.
    Mu D; Li H; Wang D; Yang X; Wang S
    Front Public Health; 2022; 10():780452. PubMed ID: 35669749
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Short and Long term predictions of Hospital emergency department attendances.
    Jilani T; Housley G; Figueredo G; Tang PS; Hatton J; Shaw D
    Int J Med Inform; 2019 Sep; 129():167-174. PubMed ID: 31445251
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Hospital daily outpatient visits forecasting using a combinatorial model based on ARIMA and SES models.
    Luo L; Luo L; Zhang X; He X
    BMC Health Serv Res; 2017 Jul; 17(1):469. PubMed ID: 28693579
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A universal deep learning approach for modeling the flow of patients under different severities.
    Jiang S; Chin KS; Tsui KL
    Comput Methods Programs Biomed; 2018 Feb; 154():191-203. PubMed ID: 29249343
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of Red Blood Cell Demand for Pediatric Patients Using a Time-Series Model: A Single-Center Study in China.
    Guo K; Song S; Qiu L; Wang X; Ma S
    Front Med (Lausanne); 2022; 9():706284. PubMed ID: 35665347
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Time series analysis of hemorrhagic fever with renal syndrome in mainland China by using an XGBoost forecasting model.
    Lv CX; An SY; Qiao BJ; Wu W
    BMC Infect Dis; 2021 Aug; 21(1):839. PubMed ID: 34412581
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An Improved STL-LSTM Model for Daily Bus Passenger Flow Prediction during the COVID-19 Pandemic.
    Jiao F; Huang L; Song R; Huang H
    Sensors (Basel); 2021 Sep; 21(17):. PubMed ID: 34502841
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction of Daily Blood Sampling Room Visits Based on ARIMA and SES Model.
    Zhang X; Yu Y; Xiong F; Luo L
    Comput Math Methods Med; 2020; 2020():1720134. PubMed ID: 32963583
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparison of ARIMA model and XGBoost model for prediction of human brucellosis in mainland China: a time-series study.
    Alim M; Ye GH; Guan P; Huang DS; Zhou BS; Wu W
    BMJ Open; 2020 Dec; 10(12):e039676. PubMed ID: 33293308
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Forecasting daily patient volumes in the emergency department.
    Jones SS; Thomas A; Evans RS; Welch SJ; Haug PJ; Snow GL
    Acad Emerg Med; 2008 Feb; 15(2):159-70. PubMed ID: 18275446
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Risk Prediction Method of Obstetric Nursing Based on Data Mining.
    Jin D
    Contrast Media Mol Imaging; 2022; 2022():5100860. PubMed ID: 36082058
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Time trends in gender-specific incidence rates of road traffic injuries in Iran.
    Delavary Foroutaghe M; Mohammadzadeh Moghaddam A; Fakoor V
    PLoS One; 2019; 14(5):e0216462. PubMed ID: 31071156
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Assessment of Time-Series Machine Learning Methods for Forecasting Hospital Discharge Volume.
    McCoy TH; Pellegrini AM; Perlis RH
    JAMA Netw Open; 2018 Nov; 1(7):e184087. PubMed ID: 30646340
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Mixed time series approaches for forecasting the daily number of hospital blood collections.
    Zhang X; Zhao X; Mou X; Tan M
    Int J Health Plann Manage; 2021 Sep; 36(5):1714-1726. PubMed ID: 34060654
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Research on the predictive effect of a combined model of ARIMA and neural networks on human brucellosis in Shanxi Province, China: a time series predictive analysis.
    Zhai M; Li W; Tie P; Wang X; Xie T; Ren H; Zhang Z; Song W; Quan D; Li M; Chen L; Qiu L
    BMC Infect Dis; 2021 Mar; 21(1):280. PubMed ID: 33740904
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Research on obstetric ward planning combining lean thinking and mixed-integer programming.
    Mu D; Li H; Zhao D; Ju Y; Li Y
    Int J Qual Health Care; 2021 Jul; 33(3):. PubMed ID: 34226937
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Performance evaluation of Emergency Department patient arrivals forecasting models by including meteorological and calendar information: A comparative study.
    Sudarshan VK; Brabrand M; Range TM; Wiil UK
    Comput Biol Med; 2021 Aug; 135():104541. PubMed ID: 34166880
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Machine learning approaches to predict peak demand days of cardiovascular admissions considering environmental exposure.
    Qiu H; Luo L; Su Z; Zhou L; Wang L; Chen Y
    BMC Med Inform Decis Mak; 2020 May; 20(1):83. PubMed ID: 32357880
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Predicting Prolonged Length of Hospital Stay for Peritoneal Dialysis-Treated Patients Using Stacked Generalization: Model Development and Validation Study.
    Kong G; Wu J; Chu H; Yang C; Lin Y; Lin K; Shi Y; Wang H; Zhang L
    JMIR Med Inform; 2021 May; 9(5):e17886. PubMed ID: 34009135
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.