A Predictive Model Based on Machine Learning for the Early Detection of Late-Onset Neonatal Sepsis: Development and Observational Study

Neonatal intensive care decision support systems using artificial intelligence techniques: a systematic review

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Predicting of anaphylaxis in big data EMR by exploring machine learning approaches

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Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study

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MIMIC-III, a freely accessible critical care database

(2016) Alistair E.W. Johnson et al.   Scientific Data

Mortality Prediction Model of Septic Shock Patients Based on Routinely Recorded Data

(2015) Marta Carrara et al.   Computational and Mathematical Methods in Medicine

Challenges in the diagnosis and management of neonatal sepsis

(2015) A. Zea-Vera et al.   JOURNAL OF TROPICAL PEDIATRICS

Infection and Other Clinical Correlates of Abnormal Heart Rate Characteristics in Preterm Infants

(2014) Brynne A. Sullivan et al.   JOURNAL OF PEDIATRICS

Autoregressive Hidden Markov Models for the Early Detection of Neonatal Sepsis

(2014) Ioan Stanculescu et al.   IEEE Journal of Biomedical and Health Informatics

Medical decision support using machine learning for early detection of late-onset neonatal sepsis

(2013) Subramani Mani et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

An instance level analysis of data complexity

(2013) Michael R. Smith et al.   MACHINE LEARNING

Early and late onset sepsis in very-low-birth-weight infants from a large group of neonatal intensive care units

(2012) C.P. Hornik et al.   EARLY HUMAN DEVELOPMENT

Clinical signs to identify late-onset sepsis in preterm infants

(2012) Jolita Bekhof et al.   EUROPEAN JOURNAL OF PEDIATRICS

Mining electronic health records: towards better research applications and clinical care

(2012) Peter B. Jensen et al.   NATURE REVIEWS GENETICS

Time to positivity of neonatal blood cultures: fast and furious?

(2010) K. Guerti et al.   JOURNAL OF MEDICAL MICROBIOLOGY

Prediction Modeling Using EHR Data

(2010) Jionglin Wu et al.   MEDICAL CARE

Strategies for the prevention of hospital-acquired infections in the neonatal intensive care unit

(2008) A. Borghesi et al.   JOURNAL OF HOSPITAL INFECTION

Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance

(2007) Maciej A. Mazurowski et al.   NEURAL NETWORKS