AIMC Topic: Electronic Health Records
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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...
Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records.
Journal of biomedical informatics
Sep 24, 2019
Electronic medical records (EMRs) support the development of machine learning algorithms for predicting disease incidence, patient response to treatment, and other healthcare events. But so far most algorithms have been centralized, taking little acc...
Machine Learning-Enabled Automated Determination of Acute Ischemic Core From Computed Tomography Angiography.
Stroke
Sep 24, 2019
Background and Purpose- The availability of and expertise to interpret advanced neuroimaging recommended in the guideline-based endovascular stroke therapy (EST) evaluation are limited. Here, we develop and validate an automated machine learning-base...
Wikidata: A large-scale collaborative ontological medical database.
Journal of biomedical informatics
Sep 23, 2019
Created in October 2012, Wikidata is a large-scale, human-readable, machine-readable, multilingual, multidisciplinary, centralized, editable, structured, and linked knowledge-base with an increasing diversity of use cases. Here, we raise awareness of...
Adversarial training based lattice LSTM for Chinese clinical named entity recognition.
Journal of biomedical informatics
Sep 23, 2019
Clinical named entity recognition (CNER), which intends to automatically detect clinical entities in electronic health record (EHR), is a committed step for further clinical text mining. Recently, more and more deep learning models are used to Chines...
A two-stage deep learning approach for extracting entities and relationships from medical texts.
Journal of biomedical informatics
Sep 20, 2019
This work presents a two-stage deep learning system for Named Entity Recognition (NER) and Relation Extraction (RE) from medical texts. These tasks are a crucial step to many natural language understanding applications in the biomedical domain. Autom...
Chinese clinical named entity recognition with radical-level feature and self-attention mechanism.
Journal of biomedical informatics
Sep 18, 2019
Named entity recognition is a fundamental and crucial task in medical natural language processing problems. In medical fields, Chinese clinical named entity recognition identifies boundaries and types of medical entities from unstructured text such a...
Automated SNOMED CT concept and attribute relationship detection through a web-based implementation of cTAKES.
Journal of biomedical semantics
Sep 18, 2019
BACKGROUND: Information in Electronic Health Records is largely stored as unstructured free text. Natural language processing (NLP), or Medical Language Processing (MLP) in medicine, aims at extracting structured information from free text, and is le...
Ambient virtual scribes: Mutuo Health's AutoScribe as a case study of artificial intelligence-based technology.
Healthcare management forum
Sep 15, 2019
Studies show that clinicians are increasingly burning out in large part from the clerical burden associated with using Electronic Medical Record (EMR) systems. At the same time, recently developed health data analytic algorithms struggle with poor qu...
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