AIMC Journal:
International journal of medical informatics

Showing 281 to 290 of 372 articles

Applying density-based outlier identifications using multiple datasets for validation of stroke clinical outcomes.

International journal of medical informatics Oct 3, 2019
INTRODUCTION: Clinicians commonly use the modified Rankin Scale (mRS) and the Barthel Index (BI) to measure clinical outcome after stroke. These are potential targets in machine learning models for stroke outcome prediction. Therefore, the quality of...
Research Design Prospective Studies Female Aged Humans Machine Learning Algorithms Male Treatment Outcome Cluster Analysis Taiwan Stroke Outcome Assessment, Health Care Validation Studies as Topic Datasets as Topic
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Extracting comprehensive clinical information for breast cancer using deep learning methods.

International journal of medical informatics Oct 2, 2019
OBJECTIVE: Breast cancer is the most common malignant tumor among women. The diagnosis and treatment information of breast cancer patients is abundant in multiple types of clinical fields, including clinicopathological data, genotype and phenotype in...
Algorithms Female Breast Neoplasms Deep Learning China Humans Support Vector Machine Natural Language Processing
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Predicting post-stroke pneumonia using deep neural network approaches.

International journal of medical informatics Oct 1, 2019
BACKGROUND AND PURPOSE: Pneumonia is a common complication after stroke, causing an increased length of hospital stay and death. Therefore, the timely and accurate prediction of post-stroke pneumonia would be highly valuable in clinical practice. Pre...
Humans Machine Learning Algorithms Aged Aged, 80 and over Male Middle Aged Electronic Health Records Predictive Value of Tests China Female Stroke ROC Curve Hospitalization Brain Ischemia Pneumonia
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Improving documentation of presenting problems in the emergency department using a domain-specific ontology and machine learning-driven user interfaces.

International journal of medical informatics Sep 27, 2019
OBJECTIVES: To determine the effect of a domain-specific ontology and machine learning-driven user interfaces on the efficiency and quality of documentation of presenting problems (chief complaints) in the emergency department (ED).
User-Computer Interface Decision Support Systems, Clinical Emergency Service, Hospital Quality Improvement Documentation Forms and Records Control Female Male Depressive Disorder, Major Humans Case-Control Studies Machine Learning Algorithms Retrospective Studies
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A deep learning framework for automatic diagnosis of unipolar depression.

International journal of medical informatics Sep 27, 2019
BACKGROUND AND PURPOSE: In recent years, the development of machine learning (ML) frameworks for automatic diagnosis of unipolar depression has escalated to a next level of deep learning frameworks. However, this idea needs further validation. Theref...
Humans Automation Depressive Disorder Male Neural Networks, Computer Case-Control Studies Female Deep Learning Adult Electroencephalography
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Development of a clinical support system for identifying social frailty.

International journal of medical informatics Sep 26, 2019
OBJECTIVE: Recognizing frailty, also known as clinical geriatric syndrome in the elderly that is characterized by high vulnerability and low resilience, and its extensive influence in clinical practice is challenging. This study aims to develop a soc...
Male Humans Female Surveys and Questionnaires Neural Networks, Computer Frail Elderly ROC Curve Aged Machine Learning Frailty Cross-Sectional Studies Software Electronic Health Records
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Enhancing the security of patients' portals and websites by detecting malicious web crawlers using machine learning techniques.

International journal of medical informatics Sep 25, 2019
INTRODUCTION: There is increasing demand for access to medical information via patients' portals. However, one of the challenges towards widespread utilisation of such service is maintaining the security of those portals. Recent reports show an alarm...
Neural Networks, Computer Machine Learning Internet Software Humans Computer Security Support Vector Machine Algorithms Patient Portals Decision Trees Bayes Theorem
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Individualized prediction of depressive disorder in the elderly: A multitask deep learning approach.

International journal of medical informatics Sep 23, 2019
INTRODUCTION: Depressive disorder is one of the major public health problems among the elderly. An effective depression risk prediction model can provide insights on the disease progression and potentially inform timely targeted interventions. Theref...
Depressive Disorder Disease Progression Deep Learning Longitudinal Studies Humans Neural Networks, Computer Precision Medicine Female Aged Male
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Machine learning in predicting graft failure following kidney transplantation: A systematic review of published predictive models.

International journal of medical informatics Aug 24, 2019
INTRODUCTION: Machine learning has been increasingly used to develop predictive models to diagnose different disease conditions. The heterogeneity of the kidney transplant population makes predicting graft outcomes extremely challenging. Several kidn...
Humans Graft Rejection Kidney Transplantation Bayes Theorem Neural Networks, Computer Databases, Factual Machine Learning Decision Trees Predictive Value of Tests
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Automatic extraction and assessment of lifestyle exposures for Alzheimer's disease using natural language processing.

International journal of medical informatics Aug 6, 2019
INTRODUCTION: Previous biomedical studies identified many lifestyle exposures that could possibly represent risk factors for dementia in general or dementia due to Alzheimer's disease (AD). These lifestyle exposures are mainly mentioned in free-text ...
Risk Factors Natural Language Processing Humans Alzheimer Disease Research Design Life Style Electronic Health Records
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