AIMC Journal:
Computer methods and programs in biomedicine

Showing 771 to 780 of 863 articles

Cancer subtype prediction from a pathway-level perspective by using a support vector machine based on integrated gene expression and protein network.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Distinguishing cancer subtypes is critical for selecting the appropriate treatment strategy. Bioinformatics approaches have gradually taken the place of clinical observations and pathological experiments. However, these appr...

Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm.

Computer methods and programs in biomedicine
Cardiovascular disease is one of the most rampant causes of death around the world and was deemed as a major illness in Middle and Old ages. Coronary artery disease, in particular, is a widespread cardiovascular malady entailing high mortality rates....

A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: Highly accurate classification of biomedical images is an essential task in the clinical diagnosis of numerous medical diseases identified from those images. Traditional image classification methods combined with hand-craft...

Learning MRI-based classification models for MGMT methylation status prediction in glioblastoma.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: The O-methylguanine-DNA-methyltransferase (MGMT) promoter methylation has been shown to be associated with improved outcomes in patients with glioblastoma (GBM) and may be a predictive marker of sensitivity to chemotherapy. ...

A ℓ norm regularized multi-kernel learning for false positive reduction in Lung nodule CAD.

Computer methods and programs in biomedicine
OBJECTIVE: The aim of this paper is to describe a novel algorithm for False Positive Reduction in lung nodule Computer Aided Detection(CAD).

Semi-automated detection of anterior cruciate ligament injury from MRI.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: A radiologist's work in detecting various injuries or pathologies from radiological scans can be tiresome, time consuming and prone to errors. The field of computer-aided diagnosis aims to reduce these factors by introducin...

A methodology for automated CPA extraction using liver biopsy image analysis and machine learning techniques.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Collagen proportional area (CPA) extraction in liver biopsy images provides the degree of fibrosis expansion in liver tissue, which is the most characteristic histological alteration in hepatitis C virus (HCV). Assessment of...

Detecting negation and scope in Chinese clinical notes using character and word embedding.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: Researchers have developed effective methods to index free-text clinical notes into structured database, in which negation detection is a critical but challenging step. In Chinese clinical records, negation detection is par...

A clinical decision-making mechanism for context-aware and patient-specific remote monitoring systems using the correlations of multiple vital signs.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: In home-based context-aware monitoring patient's real-time data of multiple vital signs (e.g. heart rate, blood pressure) are continuously generated from wearable sensors. The changes in such vital parameters are highly cor...

Automated diagnosis of coronary artery disease (CAD) patients using optimized SVM.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Currently Coronary Artery Disease (CAD) is one of the most prevalent diseases, and also can lead to death, disability and economic loss in patients who suffer from cardiovascular disease. Diagnostic procedures of this diseas...