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TELKOMNIKA Telecommunication, Computing, Electronics and Control
Model development for pneumonia detection from chest radiograph using transfer learning
Accurate interpretation of chest radiographs outcome in epidemiological studies facilitates the process of correctly identifying chest-related or respiratory diseases. Despite the fact that radiological results have been used in the past and is being…
Study of C-reactive protein, procalcitonin, and immunocyte ratios in 194 patients with sepsis
Background: Evidence suggests that C-reactive protein (CRP), procalcitonin (PCT), and immune cells can predict sepsis
severity in adult patients. However, the specific values of these indicators are not consistent in predicting prognosis.
Methods:…
severity in adult patients. However, the specific values of these indicators are not consistent in predicting prognosis.
Methods:…
Prediction of a time-sensitive condition among patients with dizziness assessed by the emergency medical services
Background: Dizziness is a relatively common symptom among patients who call for the emergency medical
services (EMS).
Aim: To identify factors of importance for the early identification of a time-sensitive condition behind the symptom
of…
services (EMS).
Aim: To identify factors of importance for the early identification of a time-sensitive condition behind the symptom
of…
Journal of ICT Research and Applications ITB Bandung Vol. 16 No. 2 2022
Breast Cancer Diagnosis in Women Using Neural Networks and Deep Learning
Abstract. Breast cancer is a deadly disease affecting women around the world. It can spread rapidly into other parts of the body, causing untimely death when undetected due to rapid growth and division of cells in the breast. Early diagnosis of this…