AIMC Journal:
International journal of medical informatics

Showing 351 to 360 of 372 articles

Subject-enabled analytics model on measurement statistics in health risk expert system for public health informatics.

International journal of medical informatics Sep 2, 2017
PURPOSE: This study applied open source technology to establish a subject-enabled analytics model that can enhance measurement statistics of case studies with the public health data in cloud computing.
Aged Male Models, Theoretical Humans Software Female Disease Cloud Computing Public Health Informatics Health Status Internet Expert Systems
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Active learning reduces annotation time for clinical concept extraction.

International journal of medical informatics Aug 5, 2017
OBJECTIVE: To investigate: (1) the annotation time savings by various active learning query strategies compared to supervised learning and a random sampling baseline, and (2) the benefits of active learning-assisted pre-annotations in accelerating th...
Machine Learning Humans Natural Language Processing Algorithms Information Storage and Retrieval Problem-Based Learning Electronic Health Records
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Impact of predicting health-guidance candidates using massive health check-up data: A data-driven analysis.

International journal of medical informatics Aug 4, 2017
INTRODUCTION: Starting in 2008, specific health checkups and health guidance to prevent non-communicable diseases have been provided in Japan, which has the highest proportion of elderly citizens in the world. The attendance rate for health guidance ...
Humans Machine Learning Male Middle Aged Surveys and Questionnaires Female Aged Adult Health Care Costs Health Knowledge, Attitudes, Practice Physical Examination Japan Appointments and Schedules
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A comparison of rule-based and machine learning approaches for classifying patient portal messages.

International journal of medical informatics Jun 23, 2017
OBJECTIVE: Secure messaging through patient portals is an increasingly popular way that consumers interact with healthcare providers. The increasing burden of secure messaging can affect clinic staffing and workflows. Manual management of portal mess...
Patient Portals Natural Language Processing Bayes Theorem Health Services Needs and Demand Humans Machine Learning Health Personnel Electronic Health Records Communication
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Automated problem list generation and physicians perspective from a pilot study.

International journal of medical informatics Jun 4, 2017
OBJECTIVE: An accurate, comprehensive and up-to-date problem list can help clinicians provide patient-centered care. Unfortunately, problem lists created and maintained in electronic health records by providers tend to be inaccurate, duplicative and ...
Medical Records, Problem-Oriented Natural Language Processing Practice Patterns, Physicians' Patient Care Management Electronic Health Records Pilot Projects Humans Machine Learning Physicians
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Integrating natural language processing expertise with patient safety event review committees to improve the analysis of medication events.

International journal of medical informatics May 11, 2017
OBJECTIVES: Many healthcare providers have implemented patient safety event reporting systems to better understand and improve patient safety. Reviewing and analyzing these reports is often time consuming and resource intensive because of both the qu...
Drug-Related Side Effects and Adverse Reactions Advisory Committees Medication Errors Data Interpretation, Statistical Humans Risk Management Patient Safety Pharmaceutical Preparations Natural Language Processing
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Creation of a simple natural language processing tool to support an imaging utilization quality dashboard.

International journal of medical informatics Feb 21, 2017
BACKGROUND: Testing for venous thromboembolism (VTE) is associated with cost and risk to patients (e.g. radiation). To assess the appropriateness of imaging utilization at the provider level, it is important to know that provider's diagnostic yield (...
Humans Tomography, X-Ray Computed Image Processing, Computer-Assisted Natural Language Processing Venous Thromboembolism
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Causality patterns and machine learning for the extraction of problem-action relations in discharge summaries.

International journal of medical informatics Nov 9, 2016
Clinical narrative text includes information related to a patient's medical history such as chronological progression of medical problems and clinical treatments. A chronological view of a patient's history makes clinical audits easier and improves q...
Pattern Recognition, Automated Natural Language Processing Humans Patient Discharge Decision Support Systems, Clinical Machine Learning Semantics Support Vector Machine Electronic Health Records Narration
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Software intelligent system for effective solutions for hearing impaired subjects.

International journal of medical informatics Oct 14, 2016
PURPOSE: The anatomy and physiology of the ear is complex in nature, which makes it a challenge for audiologists to prescribe solutions for varied hearing-impaired subjects. There is a need to increase the satisfaction level of hearing-aid users by a...
Middle Aged Decision Support Systems, Clinical Software Hearing Aids India Humans Persons with Hearing Disabilities Female Artificial Intelligence Male
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A machine learning-based framework to identify type 2 diabetes through electronic health records.

International journal of medical informatics Oct 1, 2016
OBJECTIVE: To discover diverse genotype-phenotype associations affiliated with Type 2 Diabetes Mellitus (T2DM) via genome-wide association study (GWAS) and phenome-wide association study (PheWAS), more cases (T2DM subjects) and controls (subjects wit...
Pilot Projects Genome-Wide Association Study Diabetes Mellitus, Type 2 Machine Learning Algorithms Humans Electronic Health Records Logistic Models Support Vector Machine Bayes Theorem
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