AIMC Topic: Electronic Health Records
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Machine learning, natural language programming, and electronic health records: The next step in the artificial intelligence journey?
The Journal of allergy and clinical immunology
Mar 5, 2018
Machine Learning Methods to Extract Documentation of Breast Cancer Symptoms From Electronic Health Records.
Journal of pain and symptom management
Feb 27, 2018
CONTEXT: Clinicians document cancer patients' symptoms in free-text format within electronic health record visit notes. Although symptoms are critically important to quality of life and often herald clinical status changes, computational methods to a...
Deep neural models for ICD-10 coding of death certificates and autopsy reports in free-text.
Journal of biomedical informatics
Feb 26, 2018
We address the assignment of ICD-10 codes for causes of death by analyzing free-text descriptions in death certificates, together with the associated autopsy reports and clinical bulletins, from the Portuguese Ministry of Health. We leverage a deep n...
Personalized prediction of drug efficacy for diabetes treatment via patient-level sequential modeling with neural networks.
Artificial intelligence in medicine
Feb 23, 2018
Patients with type 2 diabetes mellitus are generally under continuous long-term medical treatment based on anti-diabetic drugs to achieve the desired glucose level. Thus, each patient is associated with a sequence of multiple records for prescription...
Representing and querying now-relative relational medical data.
Artificial intelligence in medicine
Feb 21, 2018
Temporal information plays a crucial role in medicine. Patients' clinical records are intrinsically temporal. Thus, in Medical Informatics there is an increasing need to store, support and query temporal data (particularly in relational databases), i...
Mortality prediction in intensive care units (ICUs) using a deep rule-based fuzzy classifier.
Journal of biomedical informatics
Feb 19, 2018
Electronic health records (EHRs) contain critical information useful for clinical studies. Early assessment of patients' mortality in intensive care units is of great importance. In this paper, a Deep Rule-Based Fuzzy System (DRBFS) was proposed to d...
Assessing the practice of biomedical ontology evaluation: Gaps and opportunities.
Journal of biomedical informatics
Feb 17, 2018
With the proliferation of heterogeneous health care data in the last three decades, biomedical ontologies and controlled biomedical terminologies play a more and more important role in knowledge representation and management, data integration, natura...
Automated chart review utilizing natural language processing algorithm for asthma predictive index.
BMC pulmonary medicine
Feb 13, 2018
BACKGROUND: Thus far, no algorithms have been developed to automatically extract patients who meet Asthma Predictive Index (API) criteria from the Electronic health records (EHR) yet. Our objective is to develop and validate a natural language proces...
Ascertainment of asthma prognosis using natural language processing from electronic medical records.
The Journal of allergy and clinical immunology
Feb 10, 2018
NLP algorithm successfully determined asthma prognosis (i.e., no remission, long-term remission, and intermittent remission) by taking into account asthma symptoms documented in EMR, and addressed the limitations of billing code- based asthma outcome...
Applying natural language processing techniques to develop a task-specific EMR interface for timely stroke thrombolysis: A feasibility study.
International journal of medical informatics
Feb 8, 2018
OBJECTIVE: To reduce errors in determining eligibility for intravenous thrombolytic therapy (IVT) in stroke patients through use of an enhanced task-specific electronic medical record (EMR) interface powered by natural language processing (NLP) techn...
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