AIMC Journal:
Medical & biological engineering & computing

Showing 211 to 220 of 330 articles

Development of a tracking error prediction system for the CyberKnife Synchrony Respiratory Tracking System with use of support vector regression.

Medical & biological engineering & computing
PURPOSE: The accuracy of the CyberKnife Synchrony Respiratory Tracking System is dependent on the breathing pattern of a patient. Therefore, the tracking error in each patient must be determined. Support vector regression (SVR) can be used to easily ...

Machine learning-enabled predictive modeling to precisely identify the antimicrobial peptides.

Medical & biological engineering & computing
The ubiquitous antimicrobial peptides (AMPs), with a broad range of antimicrobial activities, represent a great promise for combating the multi-drug resistant infections. In this study, using a large and diverse set of AMPs (2638) and non-AMPs (3700)...

Framework for classification of cancer gene expression data using Bayesian hyper-parameter optimization.

Medical & biological engineering & computing
Computational classification of cancers is an important research problem. Gene expression data has 1000s of features, very few samples, and a class imbalance problem. In this paper, we have proposed a framework for the classification of cancer gene e...

Augmented sequence features and subcellular localization for functional characterization of unknown protein sequences.

Medical & biological engineering & computing
Advances in high-throughput techniques lead to evolving a large number of unknown protein sequences (UPS). Functional characterization of UPS is significant for the investigation of disease symptoms and drug repositioning. Protein subcellular localiz...

Blood glucose concentration prediction based on VMD-KELM-AdaBoost.

Medical & biological engineering & computing
The time series of blood glucose concentration in diabetic patients are time-varying, nonlinear, and non-stationary. In order to improve the accuracy of blood glucose prediction, a multi-scale combination short-term blood glucose prediction model was...

A proof of concept study for machine learning application to stenosis detection.

Medical & biological engineering & computing
This proof of concept (PoC) assesses the ability of machine learning (ML) classifiers to predict the presence of a stenosis in a three vessel arterial system consisting of the abdominal aorta bifurcating into the two common iliacs. A virtual patient ...

An SVM approach towards breast cancer classification from H&E-stained histopathology images based on integrated features.

Medical & biological engineering & computing
Breast cancer is one among the most frequent reasons of women's death worldwide. Nowadays, healthcare informatics is mainly focussing on the classification of breast cancer images, due to the lethal nature of this cancer. There are chances of inter- ...

B-Map: a fuzzy-based model to detect foreign objects in a brain.

Medical & biological engineering & computing
To cope up with the medical complications, scientists and physicians rely more on digitized historical evidence. It helps them to identify the disease and to develop new drugs and strategies. The authors have designed a model called B-Map. It can det...

Tip estimation approach for concentric tube robots using 2D ultrasound images and kinematic model.

Medical & biological engineering & computing
Concentric tube robot (CTR) is an efficient approach for minimally invasive surgery (MIS) and diagnosis due to its small size and high dexterity. To manipulate the robot accurately and safely inside the human body, tip position and shape information ...

Enhanced facial expression recognition using 3D point sets and geometric deep learning.

Medical & biological engineering & computing
Facial expression recognition plays an essential role in human conversation and human-computer interaction. Previous research studies have recognized facial expressions mainly based on 2D image processing requiring sensitive feature engineering and c...