Neonatal sepsis prediction through clinical decision support algorithms: a systematic review

E Persad, K Jost, A Honoré, D Forsberg… - Acta …, 2021 - Wiley Online Library
Aim To systematically summarise the current evidence of employing clinical decision
support algorithms (CDSAs) using non‐invasive parameters for sepsis prediction in …

Prediction modelling in the early detection of neonatal sepsis

P Sahu, EA Raj Stanly, LE Simon Lewis… - World Journal of …, 2022 - Springer
Background Prediction modelling can greatly assist the health-care professionals in the
management of diseases, thus sparking interest in neonatal sepsis diagnosis. The main …

Inference of biomedical data sets using Bayesian machine learning

A Sohail - Biomedical Engineering: Applications, Basis and …, 2019 - World Scientific
Due to the advancement in data collection and maintenance strategies, the current clinical
databases around the globe are rich in a sense that these contain detailed information not …

[HTML][HTML] Analysis of machine learning and deep learning prediction models for sepsis and neonatal sepsis: A systematic review

B Saleena - ICT Express, 2023 - Elsevier
Sepsis and Neonatal sepsis are major challenges in global healthcare because they cause
life-threatening organ dysfunction in intensive care adult and pediatric patients due to down …

Evaluation of screening parameters and machine learning models for the prediction of neonatal sepsis: A systematic review

DP Ezeobi, A Musiimenta, W Wasswa, S Kyoyagala - 2023 - researchsquare.com
About 2.9 million neonates die every year worldwide, and most of these deaths occur in low-
resource settings. Neonatal sepsis occurs when there is a bacterial invasion in the …

[PDF][PDF] Association of Neonatal Birth weight and neonatal sepsis along with pathogen distribution in Karachi population

S Kanwal, I Younus, ML Raza, S Nesar, F Malik… - Hamdard, 2024 - academia.edu
Neonatal mortality rates are high in infants with low or very low birth weight (VLBW) as they
are prone to sepsis. Early-onset sepsis (EOS) which occurs at 48hr of life remains an …

Performance comparison of prediction models for neonatal sepsis using logistic regression, multiple discriminant analysis and artificial neural network

J Thakur, SK Pahuja, R Pahuja - Biomedical Physics & …, 2019 - iopscience.iop.org
Sepsis is one of the major causes of neonatal deaths worldwide. Majority of these neonatal
deaths occurs in resource-poor countries due to inaccessibility of hospitals and absence of …

A Review of Data Transmission Techniques for Wireless Biomedical Data Communication

H Kaur, SK Pahuja - International Journal of Sensors Wireless …, 2021 - ingentaconnect.com
Background & Objective: The healthcare applications provide the use of the wireless sensor
network and wireless transmission of the physiological data of the patient due to the lack of …

[引用][C] Summayya Kanwal1, Ishrat Younus1, Muhammad Liaquat Raza2, Shagufta Nesar1

FMS Khan