AIMC Topic: Medical Record Linkage

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Consistency of variety of machine learning and statistical models in predicting clinical risks of individual patients: longitudinal cohort study using cardiovascular disease as exemplar.

BMJ (Clinical research ed.) Nov 4, 2020
OBJECTIVE: To assess the consistency of machine learning and statistical techniques in predicting individual level and population level risks of cardiovascular disease and the effects of censoring on risk predictions.
Adult Male Cardiovascular Diseases Middle Aged Humans Machine Learning Female Models, Statistical Predictive Value of Tests Survival Analysis Calibration Medical Record Linkage Risk Assessment England Longitudinal Studies Decision Making
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Artificial Intelligence in Vascular Surgery: Moving from Big Data to Smart Data.

Annals of vascular surgery Apr 24, 2020
Vascular Surgical Procedures Humans Data Mining Artificial Intelligence Data Accuracy Big Data Medical Record Linkage Computer Security
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Statistical supervised meta-ensemble algorithm for medical record linkage.

Journal of biomedical informatics May 31, 2019
Identifying unique patients across multiple care facilities or services is a major challenge in providing continuous care and undertaking health research. Identifying and linking patients without compromising privacy and security is an emerging issue...
Electronic Health Records Female Infant, Newborn Aged Young Adult Humans Algorithms Databases, Factual Medical Record Linkage Adolescent Adult Child, Preschool Male Child Middle Aged Supervised Machine Learning Infant
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Applying Machine Learning to Linked Administrative and Clinical Data to Enhance the Detection of Homelessness among Vulnerable Veterans.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
U.S. military veterans who were discharged from service for misconduct are at high risk for homelessness. Stratifying homelessness risk based on both military service factors and clinical characteristics could facilitate targeted provision of prevent...
Databases as Topic Adult Humans Ill-Housed Persons United States Department of Veterans Affairs Machine Learning Male Management Information Systems Veterans Electronic Health Records United States Medical Record Linkage Veterans Health Female Models, Statistical
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Internet of Health Things: Toward intelligent vital signs monitoring in hospital wards.

Artificial intelligence in medicine Jun 2, 2018
BACKGROUND: Large amounts of patient data are routinely manually collected in hospitals by using standalone medical devices, including vital signs. Such data is sometimes stored in spreadsheets, not forming part of patients' electronic health records...
Medical Record Linkage Vital Signs Clinical Alarms Hospital Units Internet Data Mining Telemedicine Monitoring, Ambulatory Wireless Technology Humans Artificial Intelligence Machine Learning Prognosis Electronic Health Records Health Status Patient-Centered Care
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Information extraction from Italian medical reports: An ontology-driven approach.

International journal of medical informatics Dec 23, 2017
OBJECTIVE: In this work, we propose an ontology-driven approach to identify events and their attributes from episodes of care included in medical reports written in Italian. For this language, shared resources for clinical information extraction are ...
Medical Records Italy Documentation Information Storage and Retrieval Medical Record Linkage Humans Databases, Factual Natural Language Processing
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[The potential of artificial intelligence in myology: a viewpoint from a non-robot].

Medecine sciences : M/S Nov 15, 2017
Muscular Diseases Precision Medicine Sequence Analysis, DNA Humans Medical Record Linkage Genetic Testing Artificial Intelligence History, 21st Century History, 20th Century Databases, Factual Inventions High-Throughput Nucleotide Sequencing Muscles
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Structuring Legacy Pathology Reports by openEHR Archetypes to Enable Semantic Querying.

Methods of information in medicine Feb 28, 2017
BACKGROUND: Clinical information is often stored as free text, e.g. in discharge summaries or pathology reports. These documents are semi-structured using section headers, numbered lists, items and classification strings. However, it is still challen...
Machine Learning Electronic Health Records Natural Language Processing Guidelines as Topic Pathology Information Storage and Retrieval Health Information Interoperability Semantics Medical Record Linkage Vocabulary, Controlled Data Curation
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Practical applications for natural language processing in clinical research: The 2014 i2b2/UTHealth shared tasks.

Journal of biomedical informatics Oct 24, 2015
Information Storage and Retrieval Pattern Recognition, Automated Terminology as Topic Medical Record Linkage Electronic Health Records Biomedical Research Narration Natural Language Processing Vocabulary, Controlled Machine Learning
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Information extraction from multi-institutional radiology reports.

Artificial intelligence in medicine Oct 3, 2015
OBJECTIVES: The radiology report is the most important source of clinical imaging information. It documents critical information about the patient's health and the radiologist's interpretation of medical findings. It also communicates information to ...
Radiology Information Systems Medical Record Linkage Observer Variation Information Storage and Retrieval Semantics Pattern Recognition, Automated Natural Language Processing Discriminant Analysis Radiographic Image Interpretation, Computer-Assisted Data Mining Electronic Health Records United States Humans Reproducibility of Results Models, Theoretical Machine Learning Predictive Value of Tests Databases, Factual
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