Early Detection of Septic Shock Onset Using Interpretable Machine Learners.
Debdipto MisraVenkatesh AvulaDonna M WolkHosam A FaragJiang LiYatin B MehtaRanjeet SandhuBipin KarunakaranShravan KethireddyRamin ZandVida AbediPublished in: Journal of clinical medicine (2021)
This study corroborated that machine learning models can be developed to predict septic shock using clinical and administrative data. However, the use of clinical information to define septic shock outperformed models developed based on only administrative data. Intelligent decision support tools can be developed and integrated into the EHR and improve clinical outcomes and facilitate the optimization of resources in real-time.