Latest Posts

  • Urban Air Pollution and Mental Health Resilience

    Prevalence of Mental Health Issues and Air Pollution in Europe The European Health Interview Survey reveals that mental health concerns are widespread, with one in six EU residents experiencing problems related to mental health. Notably, 7.2% of the population suffer… Continue reading

  • Healthcare Analytics: Transforming Mental Health and Health Information Systems

    Healthcare systems globally are undergoing a digital transformation, marked by the exponential growth of health-related data and the increasing adoption of analytics to improve patient outcomes, operational efficiency, and resource allocation. Central to this transformation is the application of healthcare… Continue reading

  • Seasonal Decomposition

    Seasonal decomposition is a tool that breaks down data into three components: trend, seasonality and residual. Trend represents the long-term direction or movement in the data over time. Seasonality represents the repeating short-term patterns or cycles that occur at regular… Continue reading

  • Data Quality and Errors

    Quality of data has a vital role in predictive analytics that shapes the accuracy, reliability and utility of its outcomes. Data quality dimensions encompass accuracy, completeness, consistency, timeliness, reliability, and relevance. Common challenges in ensuring high data quality include human… Continue reading

  • Material Flow Analysis (MFA)

    Flows and stocks of the material within a system can be quantified with the help of material flow analysis. Knowledge and understanding of the inputs, accumulations, transformations and outputs of the materials within a system facilitate resource management, environmental sustainability… Continue reading

  • AI and predictive analytics

    Transformative force of AI can be leveraged into business strategies to enhance decision making, personalise customer interactions,  improve operational efficiencies and foster innovation. Real-time information and analysis of the data, predictive analytics and accurate forecasting enables businesses to enhance decision-making.… Continue reading

  • Particulate Matter

    Particulate matter contains inorganic ions such as sulfate, nitrates, ammonium, and organic compounds such as PAHs and polychlorinated biophenyls.  PM2.5 includes particles with diameter of 2.5 microns or smaller that can penetrate deeper into the lungs and even the bloodstream.… Continue reading

  • Autoregressive Integrated moving average (ARIMA ) models for time series forecasting

    Real-world data which represents the time dimension can be used to forecast future scenarios using time series forecasting methods. Autoregression, moving average, autoregressive moving average and automated machine learning (automated ML) methods are time series forecasting methods which focus on… Continue reading

  • R-Squared

    R-squared or coefficient of determination represents the proportion of the variance for a dependent variable explained by an independent variable. R-squared reflects the fitness of the derived model with its value ranging from 0 to 1. However, the presence of… Continue reading

  • Stormwater

    Urban floods and runoff pollution can be caused by rapid urbanisation and climatic changes. Urban stormwater or urban floods can significantly damage urban infrastructure and human lives. Stormwater runoff often carries pollutants, bacteria, oil, grease and toxic chemicals to low-lying… Continue reading