AIMC Journal:
International journal of medical informatics

Showing 321 to 330 of 372 articles

Towards automated clinical coding.

International journal of medical informatics Oct 2, 2018
BACKGROUND: Patients' encounters with healthcare services must undergo clinical coding. These codes are typically derived from free-text notes. Manual clinical coding is expensive, time-consuming and prone to error. Automated clinical coding systems ...
Electronic Health Records Pattern Recognition, Automated International Classification of Diseases Clinical Coding Humans Neural Networks, Computer
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A dynamic model for predicting graft function in kidney recipients' upcoming follow up visits: A clinical application of artificial neural network.

International journal of medical informatics Sep 12, 2018
BACKGROUND: Predicting the function of transplanted kidneys would help clinicians in individualized medical interventions. We aimed to develop and validate a predictive tool for a future value of estimated glomerular filtration rate (eGFR) at upcomin...
Aged Models, Statistical Kidney Diseases Young Adult Graft Rejection Adult Adolescent Cohort Studies Creatinine Male Middle Aged Kidney Transplantation Humans Female Neural Networks, Computer Graft Survival Risk Factors Glomerular Filtration Rate Follow-Up Studies
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A robotic system to prepare IV solutions.

International journal of medical informatics Sep 11, 2018
Drugs need to be used regularly and correctly in order to be effective. When medicines are used correctly, negativities that threaten human health and life can be avoided, but they can cause unwanted situations that can occur until the end of life wh...
Antineoplastic Agents Robotics Quality Control Drug Compounding Humans Medication Errors
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Identifying people at risk of developing type 2 diabetes: A comparison of predictive analytics techniques and predictor variables.

International journal of medical informatics Aug 28, 2018
BACKGROUND: The present study aims to identify the patients at risk of type 2 diabetes (T2D). There is a body of literature that uses machine learning classification algorithms to predict development of T2D among patients. The current study compares ...
Diabetes Mellitus, Type 2 Logistic Models Mass Screening Support Vector Machine Predictive Value of Tests Male Middle Aged Disease Progression Algorithms Female Risk Factors Neural Networks, Computer Machine Learning Humans
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Extraction of BI-RADS findings from breast ultrasound reports in Chinese using deep learning approaches.

International journal of medical informatics Aug 18, 2018
BACKGROUND: The wide adoption of electronic health record systems (EHRs) in hospitals in China has made large amounts of data available for clinical research including breast cancer. Unfortunately, much of detailed clinical information is embedded in...
Deep Learning China Ultrasonography, Mammary Algorithms Female Breast Neoplasms Image Interpretation, Computer-Assisted Radiology Information Systems Humans Machine Learning
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A computer-based approach for data analyzing in hospital's health-care waste management sector by developing an index using consensus-based fuzzy multi-criteria group decision-making models.

International journal of medical informatics Jul 11, 2018
BACKGROUND: Proper Health-Care Waste Management (HCWM) and integrated documentation in this sector of hospitals require analyzing massive data collected by hospital's health experts. This study presented a quantitative software-based index to assess ...
Decision Making Medical Waste Disposal Decision Support Techniques Waste Management Consensus Humans Hospital Administration Fuzzy Logic Software
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A new computational intelligence approach to detect autistic features for autism screening.

International journal of medical informatics Jun 27, 2018
Autism Spectrum Disorder (ASD) is one of the fastest growing developmental disability diagnosis. General practitioners (GPs) and family physicians are typically the first point of contact for patients or family members concerned with ASD traits obser...
Autism Spectrum Disorder Female Adult Adolescent Child Sensitivity and Specificity Male Machine Learning Algorithms Phenotype Humans Intelligence
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A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification.

International journal of medical informatics Jun 18, 2018
A computer-aided diagnosis (CAD) system requires detection, segmentation, and classification in one framework to assist radiologists efficiently in an accurate diagnosis. In this paper, a completely integrated CAD system is proposed to screen digital...
Mammography Radiographic Image Enhancement Female Breast Neoplasms Humans Diagnosis, Computer-Assisted Neural Networks, Computer Deep Learning Machine Learning
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Accuracy of using natural language processing methods for identifying healthcare-associated infections.

International journal of medical informatics Jun 6, 2018
OBJECTIVE: There is a growing interest in using natural language processing (NLP) for healthcare-associated infections (HAIs) monitoring. A French project consortium, SYNODOS, developed a NLP solution for detecting medical events in electronic medica...
Natural Language Processing Hospitals, University Cross Infection Electronic Health Records Adult Algorithms Sensitivity and Specificity Intensive Care Units Humans
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A machine learning based approach to identify protected health information in Chinese clinical text.

International journal of medical informatics May 22, 2018
BACKGROUND: With the increasing application of electronic health records (EHRs) in the world, protecting private information in clinical text has drawn extensive attention from healthcare providers to researchers. De-identification, the process of id...
Natural Language Processing Algorithms Humans Computer Security Confidentiality Electronic Health Records Machine Learning Privacy China Software
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