AIMC Topic:
Databases, Factual

Clear Filters Showing 1961 to 1970 of 2956 articles

Chemical-induced disease relation extraction with dependency information and prior knowledge.

Journal of biomedical informatics
Chemical-disease relation (CDR) extraction is significantly important to various areas of biomedical research and health care. Nowadays, many large-scale biomedical knowledge bases (KBs) containing triples about entity pairs and their relations have ...

A Depth Evidence Score Fusion Algorithm for Chinese Medical Intelligence Question Answering System.

Journal of healthcare engineering
Question answering (QA) system is becoming the focus of the research in medical health in terms of providing fleetly accurate answers to users. Numerous traditional QA systems are faced to simple factual questions and do not obtain accurate answers f...

PCG Classification Using Multidomain Features and SVM Classifier.

BioMed research international
This paper proposes a method using multidomain features and support vector machine (SVM) for classifying normal and abnormal heart sound recordings. The database was provided by the PhysioNet/CinC Challenge 2016. A total of 515 features are extracted...

An end to end Deep Neural Network for iris segmentation in unconstrained scenarios.

Neural networks : the official journal of the International Neural Network Society
With the increasing imaging and processing capabilities of today's mobile devices, user authentication using iris biometrics has become feasible. However, as the acquisition conditions become more unconstrained and as image quality is typically lower...

Multi-Domain Networks Association for Biological Data Using Block Signed Graph Clustering.

IEEE/ACM transactions on computational biology and bioinformatics
Multi-domain biological network association and clustering have attracted a lot of attention in biological data integration and understanding, which can provide a more global and accurate understanding of biological phenomenon. In many problems, diff...

Natural Language Processing for EHR-Based Computational Phenotyping.

IEEE/ACM transactions on computational biology and bioinformatics
This article reviews recent advances in applying natural language processing (NLP) to Electronic Health Records (EHRs) for computational phenotyping. NLP-based computational phenotyping has numerous applications including diagnosis categorization, no...

A study of time-frequency features for CNN-based automatic heart sound classification for pathology detection.

Computers in biology and medicine
This study concerns the task of automatic structural heart abnormality risk detection from digital phonocardiogram (PCG) signals aiming at pediatric heart disease screening applications. Recently, various systems based on convolutional neural network...