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  1. www.ncbi.nlm.nih.gov › pmc › articlesPrediction modelling in the early detection of neonatal sepsis

    Jan 5, 2022 · Potential predictors like neonatal fever, birth weight, foetal morbidity and gender, cervicovaginitis and maternal age were identified for the early detection of neonatal sepsis.

    • 10.1007/s12519-021-00505-1
    • 2022
    • World J Pediatr. 2022; 18(3): 160-175.

  2. pubmed.ncbi.nlm.nih.gov › 35094903Predictors of early-onset neonatal sepsis in premature ...

    Introduction: Early-onset neonatal sepsis (EOS) is difficult to diagnose clinically because the semiology of premature newborns is poor during the first days of life. This study aimed to identify predictive factors of EOS in neonates less than 37 weeks' gestational age in neonatal care at Louis Mourier Hospital, France.

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  4. www.tandfonline.com › doi › pdfDeep learning approach on tabular data to predict early-onset ...

    Neonatal sepsis that is a major threat for maternal and neonatal health worldwide. In this work we design non-invasive, deep learning classification models for predicting accurately and efficiently the early-onset sepsis in neonates in Neonatal Intensive Care Units. By non-invasive, it means that no external instrument

    • Redwan Hasif Alvi, Md. Habibur Rahman, Adib Al Shaeed Khan, Rashedur M. Rahman
    • 2021

  5. www.nature.com › articles › s41372/022/01392-8Predicting clinical outcomes using artificial intelligence ...

    May 13, 2022 · Neonatal sepsis is a potentially fatal bacterial bloodstream infection typically classified into two categories, early-onset sepsis, which occurs within 48 h after birth, and late-onset sepsis ...

  6. jamanetwork.com › journals › jamapediatricsRisk-Based Approach to Neonatal Early-Onset Sepsis Management

    Importance Current algorithms for management of neonatal early-onset sepsis (EOS) result in medical intervention for large numbers of uninfected infants. We developed multivariable prediction models for estimating the risk of EOS among late preterm and term infants based on objective data available at birth and the newborn’s clinical status.

    • Michael W. Kuzniewicz, Karen M. Puopolo, Allen Fischer, Eileen M. Walsh, Sherian Li, Thomas B. Newma...
    • 2017
    • what is%2Fare the earliest predictors%29 of neonatal sepsis stage and treatment1
    • what is%2Fare the earliest predictors%29 of neonatal sepsis stage and treatment2
    • what is%2Fare the earliest predictors%29 of neonatal sepsis stage and treatment3
    • what is%2Fare the earliest predictors%29 of neonatal sepsis stage and treatment4

  7. www.nature.com › articles › s41372/023/01848-5Transforming neonatal care with artificial intelligence ...

    Dec 15, 2023 · Mathieson et al., described one of the earliest neonatal AI seizure detection algorithms, based on a support vector machine model . This strategy was able to recognize neonatal seizure...

  8. www.thelancet.com › journals › laninfTechnical assessment of the neonatal early-onset sepsis risk ...

    Low sensitivity for prediction of sepsis at birth shows that standard perinatal risk factors alone are insufficient for ascertainment of neonatal early-onset sepsis. Technical assessment of the neonatal early-onset sepsis risk calculator - The Lancet Infectious Diseases