AIMC Journal:
Journal of the American Medical Informatics Association : JAMIA

Showing 461 to 470 of 493 articles

Conversational agents in healthcare: a systematic review.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Our objective was to review the characteristics, current applications, and evaluation measures of conversational agents with unconstrained natural language input capabilities used for health-related purposes.

A telehealth system for automated diagnosis of asthma and chronical obstructive pulmonary disease.

Journal of the American Medical Informatics Association : JAMIA
This paper presents the development and real-time testing of an automated expert diagnostic telehealth system for the diagnosis of 2 respiratory diseases, asthma and Chronic Obstructive Pulmonary Disease (COPD). The system utilizes Android, Java, MAT...

Machine learning approach for early detection of autism by combining questionnaire and home video screening.

Journal of the American Medical Informatics Association : JAMIA
BACKGROUND: Existing screening tools for early detection of autism are expensive, cumbersome, time- intensive, and sometimes fall short in predictive value. In this work, we sought to apply Machine Learning (ML) to gold standard clinical data obtaine...

Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To develop a conceptual prediction model framework containing standardized steps and describe the corresponding open-source software developed to consistently implement the framework across computational environments and observational heal...

Distributed deep learning networks among institutions for medical imaging.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Deep learning has become a promising approach for automated support for clinical diagnosis. When medical data samples are limited, collaboration among multiple institutions is necessary to achieve high algorithm performance. However, shari...

Using drug knowledgebase information to distinguish between look-alike-sound-alike drugs.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To extract drug indications from a commercial drug knowledgebase and determine to what extent drug indications can discriminate between look-alike-sound-alike (LASA) drugs.

Automatic recognition of self-acknowledged limitations in clinical research literature.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To automatically recognize self-acknowledged limitations in clinical research publications to support efforts in improving research transparency.

UMLS to DBPedia link discovery through circular resolution.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: The goal of this work is to map Unified Medical Language System (UMLS) concepts to DBpedia resources using widely accepted ontology relations from the Simple Knowledge Organization System (skos:exactMatch, skos:closeMatch) and from the Res...

Toward a normalized clinical drug knowledge base in China-applying the RxNorm model to Chinese clinical drugs.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: In recent years, electronic health record systems have been widely implemented in China, making clinical data available electronically. However, little effort has been devoted to making drug information exchangeable among these systems. Th...

Interactive medical word sense disambiguation through informed learning.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Medical word sense disambiguation (WSD) is challenging and often requires significant training with data labeled by domain experts. This work aims to develop an interactive learning algorithm that makes efficient use of expert's domain kno...