AN INTEGRATED APPROACH FOR MODERN SUPPLY CHAIN MANAGEMENT: UTILIZING ADVANCED MACHINE LEARNING MODELS FOR SENTIMENT ANALYSIS, DEMAND FORECASTING, AND PROBABILISTIC PRICE PREDICTION

In the contemporary business landscape, effective interpretation of customer sentiment, accurate demand forecasting, and precise price prediction are pivotal in making strategic decisions and efficiently allocating resources.Harnessing the vast array of data available from social media and online platforms, this paper presents an integrative approa

Introduction: Lyme Disease (LD) is the most common tick-borne disease in North America.With the number of cases increasing yearly, Canadian healthcare professionals (HCP) rely on up-to-date and evidence-informed guidelines, instruction, and resources to effectively prevent, diagnose, and treat Lyme disease (LD).This review is the first of its kind

Abstract Background Against a background of pandemic threat posed by SARS and avian H5N1 influenza, this study used deliberative forums to elucidate informed community perspectives on aspects of pandemic planning.Methods Two deliberative forums were carried out with members of the South Australian community.The forums were supported by a qualitativ