AIMC Journal:
International journal of medical informatics

Showing 251 to 260 of 372 articles

A deep learning solution to recommend laboratory reduction strategies in ICU.

International journal of medical informatics Sep 22, 2020
OBJECTIVE: To build a machine-learning model that predicts laboratory test results and provides a promising lab test reduction strategy, using spatial-temporal correlations.
Intensive Care Units Deep Learning ROC Curve Laboratories Humans Machine Learning
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Changes in technology acceptance among older people with dementia: the role of social robot engagement.

International journal of medical informatics Jul 30, 2020
OBJECTIVE: Emerging technologies such as social robots have shown to be effective in reducing loneliness and agitation for older people with dementia. However, the acceptance of technology (specifically social robots) was found to be low for older pe...
Long-Term Care Technology Aged Aged, 80 and over Dementia Humans Robotics Hong Kong
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Classification of glomerular pathological findings using deep learning and nephrologist-AI collective intelligence approach.

International journal of medical informatics Jul 11, 2020
BACKGROUND: Automated classification of glomerular pathological findings is potentially beneficial in establishing an efficient and objective diagnosis in renal pathology. While previous studies have verified the artificial intelligence (AI) models f...
Artificial Intelligence Deep Learning Intelligence Humans Neural Networks, Computer Nephrologists
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Clinical questionnaire filling based on question answering framework.

International journal of medical informatics Jun 17, 2020
BACKGROUND: Electronic Health Records (EHR) are the foundation of much medical research. However, analyzing the text data of EHRs directly is an challenging task. Therefore, physicians often use questionnaires to first convert text data to structured...
Surveys and Questionnaires Information Storage and Retrieval Neural Networks, Computer Algorithms Electronic Health Records
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The development an artificial intelligence algorithm for early sepsis diagnosis in the intensive care unit.

International journal of medical informatics May 21, 2020
BACKGROUND: Severe sepsis and septic shock are still the leading causes of death in Intensive Care Units (ICUs), and timely diagnosis is crucial for treatment outcomes. The progression of electronic medical records (EMR) offers the possibility of sto...
Prospective Studies Male Intensive Care Units Prognosis Humans Female Retrospective Studies Artificial Intelligence Aged Algorithms Cohort Studies ROC Curve Sepsis
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Predicting hospital admission for older emergency department patients: Insights from machine learning.

International journal of medical informatics May 16, 2020
BACKGROUND: Emergency departments (ED) are a portal of entry into the hospital and are uniquely positioned to influence the health care trajectories of older adults seeking medical attention. Older adults present to the ED with distinct needs and com...
Geriatric Assessment Aged, 80 and over Male Risk Assessment ROC Curve Canada Emergency Service, Hospital Female Hospitalization Aged Humans Machine Learning Prospective Studies
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Assessing reproducibility and veracity across machine learning techniques in biomedicine: A case study using TCGA data.

International journal of medical informatics May 13, 2020
BACKGROUND: Many studies that aim to identify gene biomarkers using statistical methods and translate them into FDA-approved drugs have faced challenges due to lack of clinical validity and methodological reproducibility. Since genomic data analysis ...
Humans Machine Learning Algorithms Reproducibility of Results Neoplasms Models, Statistical
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What are the main patient safety concerns of healthcare stakeholders: a mixed-method study of Web-based text.

International journal of medical informatics May 4, 2020
OBJECTIVES: Various healthcare stakeholders define quality of care in different ways. Public policy could advocate all these concerns. This study was conducted to identify the main themes on patient safety of stakeholders expressed before and after t...
Patient Safety Republic of Korea Hospitals Humans Research Design Health Services Quality Improvement Government Longitudinal Studies Natural Language Processing Internet
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Finding warning markers: Leveraging natural language processing and machine learning technologies to detect risk of school violence.

International journal of medical informatics Apr 25, 2020
INTRODUCTION: School violence has a far-reaching effect, impacting the entire school population including staff, students and their families. Among youth attending the most violent schools, studies have reported higher dropout rates, poor school atte...
Violence Risk Assessment Students Surveys and Questionnaires Prospective Studies Female Adolescent Humans Male Child Machine Learning Natural Language Processing Algorithms
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Emergency department disposition prediction using a deep neural network with integrated clinical narratives and structured data.

International journal of medical informatics Apr 23, 2020
BACKGROUND: Emergency department (ED) overcrowding has been a serious issue and demands effective clinical decision-making of patient disposition. In previous studies, emergency clinical narratives provide a rich context for clinical decisions. We ai...
Natural Language Processing Emergency Service, Hospital Patient Discharge Cohort Studies Physicians Adult Female Taiwan Male Retrospective Studies Hospitalization Humans Narration Middle Aged Aged Neural Networks, Computer Clinical Decision-Making
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