[1]
|
WHO, "Newborn death and illness," Partnership for Maternal, Newborn & Child Health, Geneva, Switzerland, 2011.
|
[2]
|
UNICEF, "Levels and Trends in Child Mortality Report 2017.," United Nations Children’s Fund, New York, 2017.
|
[3]
|
S. W. B. Ranjeva and S. Schiff, "Economic burden of neonatal sepsis in sub-Saharan Africa.," BMJ global health, vol. 3, no. 1, p. e000347, 2018.
|
[4]
|
L. Liu, S. Oza, D. Hogan, J. Perin, I. Rudan, J. Lawn, S. Cousens, C. Mathers and R. Black, "Global, regional, and national causes of child mortality in 2000–13, with projections to inform post-2015 priorities: an updated systematic analysis.," Lancet, vol. 385, pp. 430-440, 2015.
|
[5]
|
A. Sarkar, G. Dhar, M. Sarkar, T. Ghosh and S. Ghosh, "Early diagnosis of neonatal sepsis in primary health care unit.," Bangladesh J. Med. Sci., vol. 14, no. 2, pp. 5-8, 2015.
|
[6]
|
M. V. M. Stephannie and J. M. M. Patrick, "Neonatal Sepsis.," Clin. Pediatr. Emerg. Med., vol. 17, pp. 129-133, 2016.
|
[7]
|
Z.-V. Alonso and J. O. Theresa, "Challenges in the diagnosis and management of neonatal sepsis," Journal of Tropical Pediatrics, vol. 61, p. 1–13, 2015.
|
[8]
|
A. Shane, P. Sánchez and B. Stoll, "Neonatal sepsis.," Lancet, 2017.
|
[9]
|
J. S. M. Barbara, I. H. M. Nellie, A.-C. M. Ira, A. F. M. Avroy, R. H. M. Susan, V. M. Betty and D. H. M. Rosemary, "Neurodevelopmental and Growth Impairment Among Extremely Low-Birth-Weight Infants With Neonatal Infection," JAMA., vol. 292, no. 19, pp. 2357-2365, 2004.
|
[10]
|
E. S. M. Bonnie and R. M. Betty, "Neurodevelopmental Outcome of the Premature Infant," Pediatric Clinics of North America, vol. 56, no. 3, p. 631–646., 2009.
|
[11]
|
J. S. M. Barbara, I. H. M. Nellie, F. B. M. Edward, S. M. Seetha, R. L. M. Abbot, C. W. M. M. Michele and B. R. Nancy S. Newman, "Neonatal Outcomes of Extremely Preterm Infants From the NICHD Neonatal Research Network," Pediatrics, vol. 126, no. 3, p. 443–456, 2010.
|
[12]
|
C. Jonathan, V. Jean-Louis, K. J. A. Neill, R. M. Flavia, C. A. Derek, C. Thierry, J. Katia, G. Stefano, D. Julie, O. Steven, T. Kevin, v. d. P. Tom and P. Eric, "Sepsis: a roadmap for future research," The Lancet Infectious Diseases Commission, vol. 15, no. 5, p. 581–614., 2015.
|
[13]
|
G. M. M. Elsie, S. M. P. Lisa, F. R. P. Lynn and M. M. M. Paul, "A Nurse-Driven Screening Tool for the Early Identification of Sepsis in an Intermediate Care Unit Setting," J Hosp Med , vol. 10, no. 2, p. 97–103, 2015.
|
[14]
|
J. P. P. M. Carly, P. Mark A. Reynolds, M. Meenal Sinha, P. Matthew Gitlin and M. Elliott Crouser, "Epidemiology and Costs of Sepsis in the United States—An Analysis Based on Timing of Diagnosis and Severity Level," Critical Care Medicine, vol. 46, no. 12, 2018.
|
[15]
|
H. Jihane, B. Natalie, S. Jola and J. Douglas, "The “Centrality of Sepsis”: A Review on Incidence, Mortality, and Cost of Care," Healthcare, vol. 6, no. 3, 2018.
|
[16]
|
L. W. James, "Defining Neonatal Sepsis," Curr Opin Pediatr. , vol. 28, no. 2, p. 135–140, 2016.
|
[17]
|
R. Konrad, B. Michael, C. R. Niels and S. H. Christiane, "New Approaches to Sepsis: Molecular Diagnostics and Biomarkers," Clinical Microbiology Reviews , vol. 25, no. 4, p. 609 – 634, 2012.
|
[18]
|
B. M. P. M. Fran, R. A. M. M. Elizabeth, K. A. M. R. Mary, H. B. Katie, S. P. Aileen, L. M. Jane, M. P. Julie C. Fitzgerald, L. W. M. M. Scott and J. Z. M. M. Joseph, "Improving Recognition of Pediatric Severe Sepsis in the Emergency Department: Contributions of a Vital Sign Based Electronic Alert and Bedside Clinician Identification," Ann Emerg Med. , vol. 70, no. 6, p. 759–768., 2017.
|
[19]
|
L. J. M. M. Stephen, M. A. M. M. Carol, K. M. Lisa, G. N. Elizabeth, B.-G. D. R. F.-C. C. N.-B. Charyl, D. R. C. Maureen, M. M. F. F. Faisal, A. S. P. Beverly and M. M. Nelda P. Wray, "Reductions in Sepsis Mortality and Costs After Design and Implementation of a Nurse-Based Early Recognition and Response Program," Jt Comm J Qual Patient Saf, vol. 41, no. 11, p. 483–491, 2015.
|
[20]
|
O. Lori, "Early Recognition and Management of Maternal Sepsis," Nursing for Women’s Health , 2016.
|
[21]
|
A. S. Michael, J. B.-M. Samantha and D. P. Gavin, "Identification of adults with sepsis in the prehospital environment: a systematic review," BMJ Open , 2016.
|
[22]
|
B. F. Deshayne, H. Steven, A. W. Coralie, A. W. Lindsay, S. Q. M. Malia, C. Pranesh, L.-M. Thierry, K. P. Beth and W. Kumanan, "Using newborn screening analytes to identify cases of neonatal sepsis," SCIENTIFIC REPORTS , 2017.
|
[23]
|
B. Mercedes, P. S. Joao, A. Edgardo, F. Bukola, K. Marian, K. Seni, L. Pisake, N. Ashraf, N. Ruta, B. Vanessa and G. A. Metin, "The global maternal sepsis study and awareness campaign (GLOSS): study protocol," Reproductive Health, 2018.
|
[24]
|
A. S. Birju and F. P. James, "Neonatal sepsis An old problem with new insights," Virulence, vol. 5, no. 1, p. 170–178, 2014.
|
[25]
|
D. M. Clarissa, S. M. Karen and K. J. M. Sunil, "Biomarkers of Neonatal Sepsis.," Neoreviews, vol. 16, no. 5, p. e297–e308, 2015.
|
[26]
|
F. Aline, B. Julia, M. Shrey, S. Mike and N. V. D. A. Johannes, "Antibiotic Use for Sepsis in Neonates and Children: 2016 Evidence Update," WHO, 2016.
|
[27]
|
K. Claus, F. K. René, B. Giuseppe, F. M. Rolf and S. Martin, "Culture-Negative Early-Onset Neonatal Sepsis — At the Crossroad Sepsis Care and Antimicrobial Stewardship," Front. Pediatr., 2018.
|
[28]
|
J. T. Priti, O. Anjumanara and M. Rachel, "Audit of Antibiotic Prescribing Practices for Neonatal Sepsis and Measurement of Outcome in New Born Unit at Kenyatta National Hospital," International Journal of Pediatrics, 2019.
|
[29]
|
R. Kartik, M. Sahana, D. Prathiba and J. Malavika, "Evaluation of screening of neonatal sepsis," International Journal of Contemporary Pediatrics, vol. 5, no. 2, pp. 580-583, 2018.
|
[30]
|
J. M. Aaron, C. H. Mary, F. Daniel, O. Svetlana, S. Lakshmi, P. B. Christopher, B. Fran, S. Melissa and W. G. Robert, "Machine learning models for early sepsis recognition in the neonatal intensive care unit using readily available electronic health record data," PLoS ONE , vol. 14, no. 2, 2019.
|
[31]
|
E. H. Katharine, N. H. David, J. P. Peter and S. Suchi, "A targeted real-time early warning score (TREWScore) for septic shock," Science Translational Medicine, vol. 7 , no. 299, 2015.
|
[32]
|
R. Taylor, J. Pare and A. Venkatesh, "Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data–Driven, Machine Learning Approach," Acad Emerg Med. , vol. 23, no. 3, p. 269–278., 2016.
|
[33]
|
T. Desautels, J. Calvert and J. Hoffman, "Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach," JMIR Med Inform. , vol. 4, no. 3, 2016.
|
[34]
|
J. K. Hye and Y. K. Ha, "Learning representations for the early detection of sepsis with deep neural networks," Computers in Biology and Medicine, 2017.
|
[35]
|
M. Moor, B. Rieck, M. Horn, C. Jutzeler and K. Borgwardt, "Early Prediction of Sepsis in the ICU using Machine Learning: A Systematic Review," medRxiv, vol. 8, no. 7, pp. 952-960, 2020.
|
[36]
|
A. A. D. T. J. M. C. G. P. I. J. C. M. Liberati and P. Devereaux, "The PRISMA statement for reporting systematic and meta-analyses of studies that evaluate interventions: explanation and elaboration.," PLoS Medicine, vol. 6, no. 7, pp. 1-28, 2009.
|
[37]
|
L. Mahieu, A. De Muynck, J. De Dooy, S. Laroche and K. Van Acker, "Prediction of nosocomial sepsis in neonates by means of a computer-weighted bedside scoring system (NOSEP score)," Critical care medicine, vol. 28, no. 6, pp. 2026-2033, 2000.
|
[38]
|
Y. Huang, X. Yu, W. Li, Y. Li, J. Yang, Z. Hu, Y. Wang, P. Chen, W. Li and Y. Chen, "Development and validation of a nomogram for predicting late-onset sepsis in preterm infants on the basis of thyroid function and other risk factors: Mixed retrospective and prospective cohort study," Journal of Advanced Research, vol. 24, pp. 43-51, 2020.
|
[39]
|
D. Lake, J. Richman, M. Griffin and J. Moorman, "Sample entropy analysis of neonatal heart rate variability," American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, vol. 283, no. 3, pp. R789-R797, 2002.
|
[40]
|
K. Fairchild and T. O'Shea, "Heart rate characteristics: physiomarkers for detection of late-onset neonatal sepsis," Clinics in perinatology, vol. 37, no. 3, pp. 581-598, 2010.
|
[41]
|
Y. Xiao, M. Griffin, D. Lake and J. Moorman, "Nearest-neighbor and logistic regression analyses of clinical and heart rate characteristics in the early diagnosis of neonatal sepsis," Medical Decision Making, vol. 30, no. 2, pp. 258-266, 2010.
|
[42]
|
Y. Hu, V. Lee and K. Tan, "Prediction of clinicians' treatment in preterm infants with suspected late-onset sepsis—An ML approach. In 2018 13th IEEE conference on industrial electronics and applications (ICIEA)," IEEE, pp. 1177-1182, 2018.
|
[43]
|
R. Gómez, N. García, G. Collantes, F. Ponce and P. Redon, "Development of a non-invasive procedure to early detect neonatal sepsis using HRV monitoring and machine learning algorithms. In 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)," IEEE, pp. 132-137, 2019.
|
[44]
|
M. Griffin, D. Lake and J. Moorman, "Heart rate characteristics and laboratory tests in neonatal sepsis," Pediatrics, vol. 115, no. 4, pp. 937-941, 2005.
|
[45]
|
M. Griffin, D. Lake, T. O'Shea and J. Moorman, "Heart rate characteristics and clinical signs in neonatal sepsis," Pediatric research, vol. 61, no. 2, pp. 222-227, 2007.
|
[46]
|
A. Herbst and K. Källén, "Time between membrane rupture and delivery and septicemia in term neonates," Obstetrics & gynecology, vol. 110, no. 3, pp. 612-618, 2007.
|
[47]
|
D. H. D. Van, S. Van Kuijk, B. Opmeer, C. Willekes, J. Van Beek, A. Mulder, A. Van Loon, M. Groenewout, G. Mantel, K. Bloemenkamp and M. Porath, "Can neonatal sepsis be predicted in late preterm premature rupture of membranes? Development of a prediction model," European Journal of Obstetrics & Gynecology and Reproductive Biology, vol. 176, pp. 90-95, 2014.
|
[48]
|
K. Fairchild, D. Lake, J. Kattwinkel, J. Moorman, D. Bateman, P. Grieve, J. Isler and R. Sahni, "Vital signs and their cross-correlation in sepsis and NEC: a study of 1,065 very-low-birth-weight infants in two NICUs," Pediatric research, vol. 81, no. 2, pp. 315-321, 2017.
|
[49]
|
J. Thakur, S. Pahuja and R. Pahuja, "Neonatal sepsis prediction model for resource-poor developing countries. In 2018 2nd International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech)," IEEE., pp. 1-5, 2018.
|
[50]
|
A. Masino, M. Harris, D. Forsyth, S. Ostapenko, L. Srinivasan, C. Bonafide, F. Balamuth, M. Schmatz and R. Grundmeier, "Machine learning models for early sepsis recognition in the neonatal intensive care unit using readily available electronic health record data," PloS one, vol. 14, no. 2, p. e0212665, 2019.
|
[51]
|
J. Thakur, S. Pahuja and R. Pahuja, "Non-invasive prediction model for developing countries to predict SEPSIS in neonates," Biomedical Engineering: Applications, Basis and Communications, vol. 31, no. 1, p. 1950001, 2019.
|
[52]
|
L. Mithal, R. Yogev, H. Palac, D. Kaminsky, I. Gur and K. Mestan, "Vital signs analysis algorithm detects inflammatory response in premature infants with late onset sepsis and necrotizing enterocolitis.," Early human development, vol. 117, pp. 83-89, 2018.
|
[53]
|
I. Stanculescu, C. Williams and Y. Freer, "Autoregressive hidden Markov models for the early detection of neonatal sepsis," IEEE journal of biomedical and health informatics, vol. 18, no. 5, pp. 1560-1570, 2013.
|
[54]
|
S. Mani, A. Ozdas, C. Aliferis, H. Varol, Q. Chen, R. Carnevale, Y. Chen, J. Romano-Keeler, H. Nian and J. Weitkamp, "Medical decision support using machine learning for early detection of late-onset neonatal sepsis.," Journal of the American Medical Informatics Association, vol. 2, no. 21, pp. 326-336, 2014.
|
[55]
|
I. Güzey and Ö. Uçar, "Machine Learning Based Non-Invasive Vital Signs Analysis for Preterm Sepsis Risk Prediction," International Journal of Research in Engineering and Applied Sciences (IJREAS), vol. 8, no. 12, 2018.
|
[56]
|
W. Song, S. Jung, H. Baek, C. Choi, Y. Jung and S. Yoo, "A Predictive Model Based on Machine Learning for the Early Detection of Late-Onset Neonatal Sepsis: Development and Observational Study.," JMIR Medical Informatics, vol. 8, no. 7, p. 15965, 2020.
|
[57]
|
M. Beltempo, I. Viel-Thériault, R. Thibeault, A. Julien and B. Piedboeuf, "C-reactive protein for late-onset sepsis diagnosis in very low birth weight infants," BMC pediatrics, vol. 18, no. 1, p. 16, 2018.
|
[58]
|
T. Popowski, F. Goffinet, F. Maillard, T. Schmitz, S. Leroy and G. Kayem, "Maternal markers for detecting early-onset neonatal infection and chorioamnionitis in cases of premature rupture of membranes at or after 34 weeks of gestation: a two-center prospective study," BMC pregnancy and childbirth, vol. 11, no. 1, p. 26, 2011.
|
[59]
|
A. Palatnik, L. Liu, A. Lee and L. Yee, "Predictors of early-onset neonatal sepsis or death among newborns born at< 32 weeks of gestation," Journal of Perinatology, vol. 39, no. 7, pp. 949-955, 2019.
|
[60]
|
M. Griffin, T. O'Shea, E. Bissonette, F. Harrell, D. Lake and J. Moorman, "Abnormal heart rate characteristics preceding neonatal sepsis and sepsis-like illness," Pediatric research, vol. 53, no. 6, pp. 920-926, 2003.
|
[61]
|
I. Gur, A. Riskin, G. Markel, D. Bader, Y. Nave, B. Barzilay, F. Eyal and A. Eisenkraft, "Pilot study of a new mathematical algorithm for early detection of late-onset sepsis in very low-birth-weight infants," American journal of perinatology, vol. 32, no. 04, pp. 321-330, 2015.
|
[62]
|
J. Bekhof, J. Reitsma, J. Kok and I. Van Straaten, "Clinical signs to identify late-onset sepsis in preterm infants," European journal of pediatrics, vol. 172, no. 4, pp. 501-508, 2013.
|
[63]
|
S. Dutta, R. Reddy, S. Sheikh, J. Kalra, P. Ray and A. Narang, "Intrapartum antibiotics and risk factors for early onset sepsis," Archives of Disease in Childhood-Fetal and Neonatal Edition, vol. 95, no. 2, pp. 99-103, 2010.
|
[64]
|
M. Griffin and J. Moorman, "Toward the early diagnosis of neonatal sepsis and sepsis-like illness using novel heart rate analysis," Pediatrics, vol. 107, no. 1, pp. 97-104, 2001.
|
[65]
|
Y. Hu, V. Lee and K. Tan, "An application of convolutional neural networks for the early detection of late-onset neonatal sepsis. In 2019 International Joint Conference on Neural Networks (IJCNN)," IEEE., pp. 1-8, 2019.
|
[66]
|
D. Husada, P. Chanthavanich, U. Chotigeat, P. Sunttarattiwong, C. Sirivichayakul, K. Pengsaa, W. Chokejindachai and J. Kaewkungwal, "Predictive model for bacterial late-onset neonatal sepsis in a tertiary care hospital in Thailand," BMC infectious diseases, vol. 20, no. 1, pp. 1-11, 2020.
|
[67]
|
R. Rosenberg, A. Ahmed, S. Saha, M. Chowdhury, S. Ahmed, P. Law, R. Black, M. Santosham and G. Darmstadt, "Nosocomial sepsis risk score for preterm infants in low-resource settings," Journal of tropical pediatrics, vol. 56, no. 2, pp. 82-89, 2010.
|
[68]
|
A. Johnson, J. Aboab, J. Raffa, T. Pollard, R. Deliberato, L. Celi and D. Stone, "A comparative analysis of sepsis identification methods in an electronic database," Critical care medicine, vol. 46, no. 4, p. 494, 2018.
|
[69]
|
T. Saito and M. Rehmsmeier, "The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets," PloS one, vol. 10, no. 3, p. e0118432, 2015.
|
[70]
|
E. Pinker, "Reporting accuracy of rare event classifiers," NPJ digital medicine, vol. 1, no. 1, pp. 1-2, 2018.
|