AIMC Journal:
Studies in health technology and informatics

Showing 851 to 860 of 1278 articles

Renal Biopsy Recommendation Based on Text Understanding.

Studies in health technology and informatics Aug 21, 2019
Due to various etiologies and pathogenesis of kidney diseases, an invasive procedure called renal biopsy may be needed to determine the specific type of kidney disease, its severity, and the best treatment for it. This study aims to detmine if a text...
Machine Learning Natural Language Processing Humans Biopsy
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Using Machine Learning on Home Health Care Assessments to Predict Fall Risk.

Studies in health technology and informatics Aug 21, 2019
Falls are the leading cause of injuries among older adults, particularly in the more vulnerable home health care (HHC) population. Existing standardized fall risk assessments often require supplemental data collection and tend to have low specificity...
Risk Assessment Accidental Falls Risk Factors Missouri Home Care Services Machine Learning Humans
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Scoring Patient Fall Reports Using Quality Rubric and Machine Learning.

Studies in health technology and informatics Aug 21, 2019
Patient falls, a subcategory of patient safety events, cause further harm and anxiety to patients in healthcare systems. Patient fall reports are a valuable resource to identify safety issues that demand further attention. Still, the main challenge f...
Humans Writing Patient Safety Accidental Falls Machine Learning
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Improving Adherence to Clinical Pathways Through Natural Language Processing on Electronic Medical Records.

Studies in health technology and informatics Aug 21, 2019
This paper presents a pioneering and practical experience in the development and implementation of a clinical decision support system (CDSS) based on natural language processing (NLP) and artificial intelligence (AI) techniques. Our CDSS notifies pri...
Electronic Health Records Artificial Intelligence Natural Language Processing Decision Support Systems, Clinical Critical Pathways
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Development of Deep Learning Algorithm for Detection of Colorectal Cancer in EHR Data.

Studies in health technology and informatics Aug 21, 2019
We aimed to develop a deep learning model for the prediction of the risk of advanced colorectal cancer in Taiwanese adults. We collected data of 58152 patients from the Taiwan National Health Insurance database from 1999 to 2013. All patients' comorb...
Colorectal Neoplasms Humans Taiwan Algorithms Deep Learning Machine Learning
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Using Machine Learning to Integrate Socio-Behavioral Factors in Predicting Cardiovascular-Related Mortality Risk.

Studies in health technology and informatics Aug 21, 2019
Cardiovascular disease is prevalent and associated with significant mortality rate. Robust lifetime risk stratification for cardiovascular disease is important for effective prevention, early diagnoses, targeted intervention, and improved prognosis. ...
Prognosis Cardiovascular Diseases Machine Learning Algorithms Humans
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Extracting Symptom Names and Disease-Symptom Relationships from Web Texts Using a Multi-Column Convolutional Neural Network.

Studies in health technology and informatics Aug 21, 2019
We propose a method to create large-scale Japanese medical dictionaries that include symptom names and information about the relationship between a disease and its symptoms using a large web archive that includes large amounts of text written by non-...
Natural Language Processing Language Neural Networks, Computer
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Annotating Temporal Relations to Determine the Onset of Psychosis Symptoms.

Studies in health technology and informatics Aug 21, 2019
For patients with a diagnosis of schizophrenia, determining symptom onset is crucial for timely and successful intervention. In mental health records, information about early symptoms is often documented only in free text, and thus needs to be extrac...
Humans Psychotic Disorders Records Natural Language Processing Electronic Health Records
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Identifying Suicidal Adolescents from Mental Health Records Using Natural Language Processing.

Studies in health technology and informatics Aug 21, 2019
Suicidal ideation is a risk factor for self-harm, completed suicide and can be indicative of mental health issues. Adolescents are a particularly vulnerable group, but few studies have examined suicidal behaviour prevalence in large cohorts. Electron...
Suicidal Ideation Adolescent Electronic Health Records Humans Natural Language Processing Suicide Mental Health
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Identifying Diabetes in Clinical Notes in Hebrew: A Novel Text Classification Approach Based on Word Embedding.

Studies in health technology and informatics Aug 21, 2019
NimbleMiner is a word embedding-based, language-agnostic natural language processing system for clinical text classification. Previously, NimbleMiner was applied in English and this study applied NimbleMiner on a large sample of inpatient clinical no...
Algorithms Electronic Health Records Humans Natural Language Processing Israel Diabetes Mellitus Language
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