AIMC Journal:
Studies in health technology and informatics

Showing 601 to 610 of 1278 articles

NLP-Assisted Pipeline for COVID-19 Core Outcome Set Identification Using ClinicalTrials.gov.

Studies in health technology and informatics Jun 6, 2022
Core outcome sets (COS) are necessary to ensure the systematic collection, metadata analysis and sharing the information across studies. However, development of an area-specific clinical research is costly and time consuming. ClinicalTrials.gov, as a...
Humans COVID-19 Natural Language Processing Outcome Assessment, Health Care Clinical Trials as Topic
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AUTOMETA: Automatic Meta-Analysis System Employing Natural Language Processing.

Studies in health technology and informatics Jun 6, 2022
Meta-analyses examine the results of different clinical studies to determine whether a treatment is effective or not. Meta-analyses provide the gold standard for medical evidence. Despite their importance, meta-analyses are time-consuming and this po...
Humans Natural Language Processing Systems Analysis
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Does Enrichment of Clinical Texts by Ontology Concepts Increases Classification Accuracy?

Studies in health technology and informatics Jun 6, 2022
In the medical domain, multiple ontologies and terminology systems are available. However, existing classification and prediction algorithms in the clinical domain often ignore or insufficiently utilize semantic information as it is provided in those...
Neural Networks, Computer Algorithms Semantics
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Representation and Normalization of Complex Interventions for Evidence Computing.

Studies in health technology and informatics Jun 6, 2022
Complex interventions are ubiquitous in healthcare. A lack of computational representations and information extraction solutions for complex interventions hinders accurate and efficient evidence synthesis. In this study, we manually annotated and ana...
Humans Natural Language Processing Information Storage and Retrieval
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Augmentation of Electronic Medical Record Data for Deep Learning.

Studies in health technology and informatics Jun 6, 2022
Data imbalance is a well-known challenge in the development of machine learning models. This is particularly relevant when the minority class is the class of interest, which is frequently the case in models that predict mortality, specific diagnoses ...
Machine Learning Electronic Health Records Deep Learning
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Use of Robots to Support Those Living with Dementia and Their Caregivers.

Studies in health technology and informatics Jun 6, 2022
Dementia and other related diseases causing symptoms of mild cognitive impairment are being increasingly diagnosed. These diseases are placing a significant strain on the healthcare system. Robotic technology research has also been increasing, specif...
Humans Cognitive Dysfunction Dementia Robotics Activities of Daily Living Caregivers
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Bibliometric Analysis of Chatbots in Health-Trend Shifts and Advancements in Artificial Intelligence for Personalized Conversational Agents.

Studies in health technology and informatics Jun 6, 2022
Bibliometric analysis provides a summary for research reported in scientific literature. This can highlight pattens and trends in academic research areas, and assist in research directions. Recent growing requirements for efficient communications and...
Artificial Intelligence Software Communication Bibliometrics
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Natural Language Processing to Identify Abnormal Breast, Lung, and Cervical Cancer Screening Test Results from Unstructured Reports to Support Timely Follow-up.

Studies in health technology and informatics Jun 6, 2022
Cancer screening and timely follow-up of abnormal results can reduce mortality. One barrier to follow-up is the failure to identify abnormal results. While EHRs have coded results for certain tests, cancer screening results are often stored in free-t...
Humans Female Uterine Cervical Neoplasms Lung Follow-Up Studies Early Detection of Cancer Natural Language Processing
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Evaluation of Criteria2Query: Towards Augmented Intelligence for Cohort Identification.

Studies in health technology and informatics Jun 6, 2022
Electronic healthcare records data promises to improve the efficiency of patient eligibility screening, which is an important factor in the success of clinical trials and observational studies. To bridge the sociotechnical gap in cohort identificatio...
Humans Artificial Intelligence Databases, Factual Natural Language Processing Intelligence Eligibility Determination
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Using Deep Learning to Improve Phenotyping from Clinical Reports.

Studies in health technology and informatics Jun 6, 2022
With the development of clinical databases and the ubiquity of EHRs, physicians and researchers alike have access to an unprecedented amount of data. Complexity of the available data has also increased since clinical reports are also included and req...
Humans Databases, Factual Deep Learning Child Natural Language Processing
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