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Monitoring nodule progression in chest X-ray images
(2018)
Lung nodules are frequently observed in cases of cancer. Nodules can be monitored with technologies such as computed tomography (CT) or magnetic resonance imaging (MRI). However. x-ray imaging is a low-cost method as well ...
A Novel Computer Vision-Based Advertisement System for Individual Marketing
(2018)
To improve the performance of marketing efforts, marketers seek new ways of attracting customers. Individual marketing is an efficient way of communicating with individuals. Meeting the individual customers' expectations ...
A Content-Based Retrieval Framework for Whole Metagenome Sequencing Samples
(2018)
Finding similarities and differences between metagenomic samples within large repositories has been rather a significant issue for researchers. Over the recent years, content-based retrieval has been suggested by various ...
A New Approach for Predicting the Value of Gene Expression: Two-way Collaborative Filtering
(2019)
Background: Predicting the value of gene expression in a given condition is a challenging topic in computational systems biology. Only a limited number of studies in this area have provided solutions to predict the expression ...
Prediction of Protein Metal Binding Sites Using Deep Neural Networks
(2019)
Metals have crucial roles for many physiological, pathological and diagnostic processes. Metal binding proteins or metalloproteins are important for metabolism functions. The proteins that reach the three-dimensional ...
On computer-aided prognosis of septic shock from vital signs
(2019)
Sepsis is a life-threatening condition due to the reaction to an infection. With certain changes in circulatory system, sepsis may progress to septic shock if it is left untreated. Therefore, early prognosis of septic shock ...
Objective Pain Assessment Using Vital Signs
(2020)
Pain is considered as an emotional experience and unrestful feeling associated with tissue damage. The feeling of pain occurs when the interpretation starts in brain; as a signal is sent through nerve fiber to the brain. ...
Predicting Infections Using Computational Intelligence - A Systematic Review
(2020)
Infections encompass a set of medical conditions of very diverse kinds that can pose a significant risk to health, and even death. As with many other diseases, early diagnosis can help to provide patients with proper care ...
Integrating features for accelerometer-based activity recognition
(2016)
Activity recognition is the problem of predicting the current action of a person through the motion sensors worn on the body. The problem is usually approached as a supervised classification task where a discriminative ...
A deep learning approach for sepsis monitoring via severity score estimation
(2021)
Background and objective: Sepsis occurs in response to an infection in the body and can progress to a fatal stage. Detection and monitoring of sepsis require multi-step analysis, which is time-consuming, costly and requires ...