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Company failure prediction with limited information : newly incorporated companies

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Improving bankruptcy prediction in micro-entities by using nonlinear effects and non-financial variables

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Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables

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Forecasting international tourist flows

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Polytomous response financial distress models : the role of accounting, market and macroeconomic variables

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Predicting high health-cost users among people with cardiovascular disease using machine learning and nationwide linked social administrative datasets

Nghiem Nhung; Atkinson, June; Nguyen, Binh P.; An Tran-Duy - In: Health economics review 13 (2023) 1, pp. 1-13

Objectives To optimise planning of public health services, the impact of high-cost users needs to be considered. However, most of the existing statistical models for costs do not include many clinical and social variables from administrative data that are associated with elevated health care...

Persistent link: https://www.econbiz.de/10014500232