machine learning

Predicting pharmaceutical prices. Advances based on purchase-level data and machine learning

Mihály Fazekas, Zdravko Veljanov and Alexandre Borges de Oliveira (2024) Predicting pharmaceutical prices. Advances based on purchase-level data and machine learning. BMC Public Health 24. Article 1888. 

Background

Increased costs in the health sector have put considerable strain on the public budgets allocated to pharmaceutical purchases. Faced with such pressures amplified by financial crises and pandemics, national purchasing authorities are presented with a puzzle: how to procure pharmaceuticals of the highest quality for the lowest price. The literature explored a …

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Countering Public Grant Fraud in Spain: Machine Learning for Assessing Risks and Targeting Control Activities

OECD (2021), Countering Public Grant Fraud in Spain: Machine Learning for Assessing Risks and Targeting Control Activities, OECD Public Governance Reviews, Paris: OECD Publishing, https://doi.org/10.1787/0ea22484-en.

In the wake of the COVID-19 pandemic, marked by a high volume of accelerated spending, fraud risks have become a pressing concern for governments worldwide. In this environment, public control and audit bodies play a vital role to ensure money is well spent and vulnerabilities are spotted and addressed quickly. In Spain, the General Comptroller …

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