Medical decision support using machine learning for early detection of late-onset neonatal sepsis
By Subramani Mani, A. Ozdas, Constantin F. Aliferis, Huseyin Atakan Varol, Qingxia Chen, Randy J. Carnevale, Yukun Chen, J. Romano-Keeler, H. Nian, J. Weitkamp. 2014
186 citations recorded by the source corpus.
Subfields: Epidemiology, Public Health, Environmental and Occupational Health
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In Epidemiology
Citations in the corpus
- Interval Coded Scoring: a toolbox for interpretable scoring systems (2018, neutral): “For example, all of them except NN were compared for the early detection of late-onset neonatal sepsis (Mani et al., 2014).”
- Machine learning in critical care: state-of-the-art and a sepsis case study (2018, methodology): “Another example defying easy categorization can be found in recent work by Mani et al. [41], who investigated the use of ML methods for the early detection of late-onset neonatal sepsis.”
- Mining Electronic Health Records: A Survey (2017, methodology): “; Cheng et al. 2016; Collins et al. 2011; Simon et al. 2011a; Mani et al. 2014; Matheny et al. 2010; Pakhomov et al. 2011; Fung et al. 2008; Wells et al. 2008; Vinzamuri et al. 2014; Li et al. 2015; van der Heijden et al. 2014; Jackson et al. 2011; Paxton et al. 2013; Zhao et al. 2011; Maroco et…”