AIMC Topic: Electronic Health Records
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Screening pregnant women for suicidal behavior in electronic medical records: diagnostic codes vs. clinical notes processed by natural language processing.
BMC medical informatics and decision making
May 29, 2018
BACKGROUND: We examined the comparative performance of structured, diagnostic codes vs. natural language processing (NLP) of unstructured text for screening suicidal behavior among pregnant women in electronic medical records (EMRs).
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...
Classifying medical relations in clinical text via convolutional neural networks.
Artificial intelligence in medicine
May 18, 2018
Deep learning research on relation classification has achieved solid performance in the general domain. This study proposes a convolutional neural network (CNN) architecture with a multi-pooling operation for medical relation classification on clinic...
Deep Patient Similarity Learning for Personalized Healthcare.
IEEE transactions on nanobioscience
May 16, 2018
Predicting patients' risk of developing certain diseases is an important research topic in healthcare. Accurately identifying and ranking the similarity among patients based on their historical records is a key step in personalized healthcare. The el...
Simulation of patient flow in multiple healthcare units using process and data mining techniques for model identification.
Journal of biomedical informatics
May 16, 2018
INTRODUCTION: An approach to building a hybrid simulation of patient flow is introduced with a combination of data-driven methods for automation of model identification. The approach is described with a conceptual framework and basic methods for comb...
Evaluating the Efficiency and Safety of Speech Recognition within a Commercial Electronic Health Record System: A Replication Study.
Applied clinical informatics
May 16, 2018
OBJECTIVE: To conduct a replication study to validate previously identified significant risks and inefficiencies associated with the use of speech recognition (SR) for documentation within an electronic health record (EHR) system.
Querying archetype-based EHRs by search ontology-based XPath engineering.
Journal of biomedical semantics
May 11, 2018
BACKGROUND: Legacy data and new structured data can be stored in a standardized format as XML-based EHRs on XML databases. Querying documents on these databases is crucial for answering research questions. Instead of using free text searches, that le...
Imaging, Health Record, and Artificial Intelligence: Hype or Hope?
Current cardiology reports
May 10, 2018
PURPOSE OF REVIEW: The review is focused on "digital health", which means advanced analytics based on multi-modal data. The "Health Care Internet of Things", which uses sensors, apps, and remote monitoring could provide continuous clinical informatio...
Using machine learning to identify patterns of lifetime health problems in decedents with autism spectrum disorder.
Autism research : official journal of the International Society for Autism Research
May 7, 2018
Very little is known about the health problems experienced by individuals with autism spectrum disorder (ASD) throughout their life course. We retrospectively analyzed diagnostic codes associated with de-identified electronic health records using a m...
Deep generative learning for automated EHR diagnosis of traditional Chinese medicine.
Computer methods and programs in biomedicine
May 4, 2018
BACKGROUND: Computer-aided medical decision-making (CAMDM) is the method to utilize massive EMR data as both empirical and evidence support for the decision procedure of healthcare activities. Well-developed information infrastructure, such as hospit...
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