Improving risk prediction model quality in the critically ill: data linkage study [Internet].
Ferrando-Vivas P, Shankar-Hari M, Thomas K, Doidge JC, Caskey FJ, Forni L, Harris S, Ostermann M, Gornik I, Holman N, Lone N, Young B, Jenkins D, Webb S, Nolan JP, Soar J, Rowan KM, Harrison DA.
Ferrando-Vivas P, et al. Among authors: nolan jp.
Southampton (UK): National Institute for Health and Care Research; 2022 Dec.
Southampton (UK): National Institute for Health and Care Research; 2022 Dec.
PMID: 36542744
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Second, to improve risk models for cardiothoracic critical care by enhancing risk factor data and developing models for longer-term mortality. Third, to improve risk models for in-hospital cardiac arrest by enhancing risk factor data and developing models for longer-ter …
Second, to improve risk models for cardiothoracic critical care by enhancing risk factor data and developing models for longer-term m …