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The Love Wave Immunosensor for Detecting the Pneumonia Biomarker Procalcitonin (PCT)
Pneumonia refers to infectious inflammation of the pulmonary parenchyma caused by bacterial, viral, and other pathogens. The early screening and...
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Conducting Polymer Modified Glass Fiber Paper Substrate Based Biosensor for Procalcitonin Detection
An advanced biosensor assembly based on glass fiber paper (GFP) electrodes modified with nanocomposites comprising of poly (3,4-ethylene...
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The effects of selenium supplementation on inflammatory markers in critically ill patients
AbstractLow serum selenium (Se) levels have been shown in critical illness, which is associated with poor clinical outcomes and a higher mortality...
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Forecasting Meningitis with Machine Learning: An Advanced Classification Model Analysis
Meningitis is a life-threatening disease that can lead to severe neurological damage and death if not diagnosed and treated in a timely manner. In...
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Analysis and Application of Regression Models to ICU Patient Monitoring
When a patient is admitted to the hospital, they undergo monitoring and a variety of data is collected. The continuous stream of clinical and...
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Machine Learning-Based Mortality Prediction of COVID-19 Patients
Coronavirus Disease 2019 (COVID-19) has impacted our world. Risk classification during hospitalization is essential for medical planning and...
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Deep learning of longitudinal chest X-ray and clinical variables predicts duration on ventilator and mortality in COVID-19 patients
ObjectivesTo use deep learning of serial portable chest X-ray (pCXR) and clinical variables to predict mortality and duration on invasive mechanical...
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Machine Learning and Finite Element Methods in Modeling of COVID-19 Spread
In this chapter we analyze patient-specific machine learning and finite element approach for modeling COVID-19 spread. Many factors are influencing...
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The challenge of prognostic markers in acute pancreatitis: internist’s point of view
Acute pancreatitis, the most frequent hospitalization reason in internal medicine ward among gastrointestinal diseases, is burdened by high mortality...
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Simultaneous electrical detection of IL-6 and PCT using a microfluidic biochip platform
Sepsis, a life-threatening organ dysfunction caused by a dysregulated host response, leads the U.S in both mortality rate and cost of treatment....
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Innovative Solutions to the Clinical Challenges of COVID-19
Aim/Background: This chapter will address the clinical challenges of COVID-19 through the lens of informatics, detailing examples of how these...
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Dimensionality Reduction Using PCA and CUR Algorithm for Data on COVID-19 Tests
In this paper we present the results of two well known analyses, Principal Component Analysis and CUR algorithm, conducted on data related to tests...
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A Machine Learning Approach to Predict the Sepsis Status: Analyzing the Connection Between Relevant Laboratory Values and Other Physiological Measurements Obtained in Intensive Care Unit
Sepsis is a life-threatening disease caused by the body's response to an infection, which leads to tissue damage, organ failure and death. According...
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Deep Learning-Based Lung Infection Detection Using Radiology Modalities and Comparisons on Benchmark Datasets in COVID-19 Pandemic
The SARS-CoV-2 (severe acute respiratory syndrome coronavirus) pandemic, also known as COVID-19 (coronavirus 2019), impacted humanity worldwide and...
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Optical Biosensors
Biosensors are vitally important in various biochemical applications, and their sensing performance directly affects whether the biodetection system...
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A Fuzzy Model for the Risk of Urinary Tract Infections Prediction Using Microscopic and Chemical Urine Analysis
Urinary Tract Infections (UTIs) are the most common type of bacterial infection and the physical, chemical and microscopic analysis of urine,...
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Evaluation of the Costs and Outcomes of COVID-19 Therapeutic Regimens in Hospitalized Patients in Shiraz
COVID-19 patients in critical conditions are hospitalized and treated with various protocols including antiviral drugs, which have been updated...
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Introduction to Deep Neural Networks
In this chapter, we introduce the simplest deep learning architecture used in practice, which is known as the multilayer perceptron (MLP). We will...
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Outcome Prediction of Patients for Different Stages of Sepsis Using Machine Learning Models
Sepsis is a major challenge in the field of medical science. It affects over a million patients annually and also increases the mortality rate....
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Optical Biosensors Towards Point of Care Testing of Various Biochemicals
A steady rise in the use of point-of-care devices is warranted by the growing demand for medical attention and increased use of portable biosensing...