Blood Lactate Concentration Prediction in Critical Care.
Stud Health Technol Inform
; 270: 73-77, 2020 Jun 16.
Article
em En
| MEDLINE
| ID: mdl-32570349
ABSTRACT
Blood lactate concentration is a reliable risk indicator of deterioration in critical care requiring frequent blood sampling. However, lactate measurement is an invasive procedure that can increase risk of infections. Yet there is no clinical consensus on the frequency of measurements. In response we investigate whether machine learning algorithms can be used to predict blood lactate concentration from ICU health records. We evaluate the performance of different prediction algorithms using a multi-centre critical care dataset containing 13,464 patients. Furthermore, we analyse impact of missing value handling methods in prediction performance for each algorithm. Our experimental analysis show promising results, establishing a baseline for further investigation into this problem.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Ácido Láctico
/
Cuidados Críticos
/
Aprendizado de Máquina
Tipo de estudo:
Etiology_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2020
Tipo de documento:
Article