Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
March 8, 2026Open Access

Methodological Evaluation of Time-Series Forecasting Models in Senegalese Manufacturing Systems for Clinical Outcome Measurement

View Full Paper
Ask AI
Bookmark
Share

Authors

LML. ManéIMIbrahim MbowdéuADAïssatou Diop

Discussion

Loading...

Member takes

Overview

Systematic review suggests data quality and cross-validation improve hybrid forecasting models for clinical outcomes.

Key Points

  • To evaluate time-series forecasting models applied in Senegalese manufacturing systems for clinical outcomes measurement.
  • Systematic literature review using PubMed and Web of Science databases.
  • Included studies reviewed between predefined inclusion criteria.
  • Analysis of commonly used forecasting models in clinical outcomes measurement.
  • ARIMA model was the most frequently used, accounting for 78% in the studies reviewed.
  • ARIMA showed high predictive accuracy despite challenges with data quality and time-series stationarity.
  • Recommendations for future research include exploring hybrid models and validating with cross-validation techniques.

Cite This Study

Mané et al. (2009) studied this question.

synapsesocial.com/papers/69acc57d32b0ef16a404fa2dhttps://doi.org/10.5281/zenodo.18888157
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Methodological Evaluation of Manufacturing Systems in Senegal Using Time-Series Forecasting Models for Risk Reduction Analysis2008
  2. 2Methodological Evaluation of Manufacturing Plant Systems in Senegal Using Time-Series Forecasting Models for Clinical Outcomes Measurement2011
  3. 3Time-Series Forecasting Model Evaluation for Yield Improvement in Senegalese Manufacturing Plants Systems2010
  4. 4Methodological Evaluation of Manufacturing Systems in Senegal Using Time-Series Forecasting for Risk Reduction Assessment2007
  5. 5Time-Series Forecasting Model Evaluation for Efficiency Gains in Senegalese Manufacturing Plants Systems2008