AIMC Topic: Information Storage and Retrieval

Clear Filters Showing 401 to 410 of 714 articles

A development of assistant surgical robot system based on surgical-operation-by-wire and hands-on-throttle-and-stick.

Biomedical engineering online
BACKGROUND: Robot-assisted laparoscopic surgery offers several advantages compared with open surgery and conventional minimally invasive surgery. However, one issue that needs to be resolved is a collision between the robot arm and the assistant inst...

A Natural Language Processing Tool for Large-Scale Data Extraction from Echocardiography Reports.

PloS one
Large volumes of data are continuously generated from clinical notes and diagnostic studies catalogued in electronic health records (EHRs). Echocardiography is one of the most commonly ordered diagnostic tests in cardiology. This study sought to expl...

Automated identification of molecular effects of drugs (AIMED).

Journal of the American Medical Informatics Association : JAMIA
INTRODUCTION: Genomic profiling information is frequently available to oncologists, enabling targeted cancer therapy. Because clinically relevant information is rapidly emerging in the literature and elsewhere, there is a need for informatics technol...

Online Knowledge-Based Model for Big Data Topic Extraction.

Computational intelligence and neuroscience
Lifelong machine learning (LML) models learn with experience maintaining a knowledge-base, without user intervention. Unlike traditional single-domain models they can easily scale up to explore big data. The existing LML models have high data depende...

PDF text classification to leverage information extraction from publication reports.

Journal of biomedical informatics
OBJECTIVES: Data extraction from original study reports is a time-consuming, error-prone process in systematic review development. Information extraction (IE) systems have the potential to assist humans in the extraction task, however majority of IE ...

Regular expressions for decoding of neural network outputs.

Neural networks : the official journal of the International Neural Network Society
This article proposes a convenient tool for decoding the output of neural networks trained by Connectionist Temporal Classification (CTC) for handwritten text recognition. We use regular expressions to describe the complex structures expected in the ...

Support Vector Machine with Ensemble Tree Kernel for Relation Extraction.

Computational intelligence and neuroscience
Relation extraction is one of the important research topics in the field of information extraction research. To solve the problem of semantic variation in traditional semisupervised relation extraction algorithm, this paper proposes a novel semisuper...

Improving the utility of MeSH® terms using the TopicalMeSH representation.

Journal of biomedical informatics
OBJECTIVE: To evaluate whether vector representations encoding latent topic proportions that capture similarities to MeSH terms can improve performance on biomedical document retrieval and classification tasks, compared to using MeSH terms.

An IR-Based Approach Utilizing Query Expansion for Plagiarism Detection in MEDLINE.

IEEE/ACM transactions on computational biology and bioinformatics
The identification of duplicated and plagiarized passages of text has become an increasingly active area of research. In this paper, we investigate methods for plagiarism detection that aim to identify potential sources of plagiarism from MEDLINE, pa...

Temporal data representation, normalization, extraction, and reasoning: A review from clinical domain.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: We live our lives by the calendar and the clock, but time is also an abstraction, even an illusion. The sense of time can be both domain-specific and complex, and is often left implicit, requiring significant domain knowledg...