Giovanni Cinà

Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations

Azizmalayeri, M., Abu-Hanna, A. & Cinà, G., 21 May 2024.

Research output: Working paper › Preprint › Research

Causal blind spots when using prediction models for treatment decisions

Geloven, N. V., Keogh, R. H., Amsterdam, W. V., Cinà, G., Krijthe, J. H., Peek, N., Luijken, K., Magliacane, S., Morzywołek, P., Ommen, T. V., Putter, H., Sperrin, M., Wang, J., Weir, D. L. & Didelez, V., 27 Feb 2024.

Research output: Working paper › Preprint › Research

ICURE: Intensive care unit (ICU) risk evaluation for 30-day mortality. Developing and evaluating a multivariable machine learning prediction model for patients admitted to the general ICU in Sweden

Cinà, G., 2024, (E-pub ahead of print) In: Acta anaesthesiologica Scandinavica.

Research output: Contribution to journal › Article › Academic › peer-review

Giovanni Cinà

Specialization

Focus of research

Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations

Causal blind spots when using prediction models for treatment decisions

ICURE: Intensive care unit (ICU) risk evaluation for 30-day mortality. Developing and evaluating a multivariable machine learning prediction model for patients admitted to the general ICU in Sweden

Giovanni Cinà

Specialization

Focus of research

Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations

Causal blind spots when using prediction models for treatment decisions

ICURE: Intensive care unit (ICU) risk evaluation for 30-day mortality. Developing and evaluating a multivariable machine learning prediction model for patients admitted to the general ICU in Sweden

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