AIMC Journal:
Journal of the American Medical Informatics Association : JAMIA

Showing 401 to 410 of 493 articles

The machine giveth and the machine taketh away: a parrot attack on clinical text deidentified with hiding in plain sight.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: Clinical corpora can be deidentified using a combination of machine-learned automated taggers and hiding in plain sight (HIPS) resynthesis. The latter replaces detected personally identifiable information (PII) with random surrogates, allo...
Computer Security Washington Personally Identifiable Information Machine Learning Delivery of Health Care Electronic Health Records Confidentiality Data Anonymization Ambulatory Care Facilities Humans
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Predictive analytics in health care: how can we know it works?

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
There is increasing awareness that the methodology and findings of research should be transparent. This includes studies using artificial intelligence to develop predictive algorithms that make individualized diagnostic or prognostic risk predictions...
Humans Machine Learning Software Mobile Applications Models, Theoretical Ownership Algorithms Forecasting Prognosis
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Neural machine translation of clinical texts between long distance languages.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: To analyze techniques for machine translation of electronic health records (EHRs) between long distance languages, using Basque and Spanish as a reference. We studied distinct configurations of neural machine translation systems and used d...
Spain Natural Language Processing Humans Translating Systematized Nomenclature of Medicine Neural Networks, Computer Terminology as Topic Electronic Health Records
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Assessing clinical heterogeneity in sepsis through treatment patterns and machine learning.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: To use unsupervised topic modeling to evaluate heterogeneity in sepsis treatment patterns contained within granular data of electronic health records.
Aged, 80 and over Adult Male Female Hospitalization Aged Unsupervised Machine Learning Humans Patient Acuity Quality of Health Care Anti-Bacterial Agents Retrospective Studies Middle Aged Electronic Health Records Sepsis Hospital Mortality
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High-throughput multimodal automated phenotyping (MAP) with application to PheWAS.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Electronic health records linked with biorepositories are a powerful platform for translational studies. A major bottleneck exists in the ability to phenotype patients accurately and efficiently. The objective of this study was to develop ...
Area Under Curve Humans Electronic Health Records International Classification of Diseases Algorithms Unified Medical Language System Polymorphism, Single Nucleotide Phenotype Natural Language Processing
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Cohort selection for clinical trials: n2c2 2018 shared task track 1.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Track 1 of the 2018 National NLP Clinical Challenges shared tasks focused on identifying which patients in a corpus of longitudinal medical records meet and do not meet identified selection criteria.
Clinical Trials as Topic Humans Patient Selection Machine Learning Data Mining Natural Language Processing Datasets as Topic
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Cohort selection for clinical trials using deep learning models.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: The goal of the 2018 n2c2 shared task on cohort selection for clinical trials (track 1) is to identify which patients meet the selection criteria for clinical trials. Cohort selection is a particularly demanding task to which natural langu...
Humans Data Mining Neural Networks, Computer Deep Learning Clinical Trials as Topic Natural Language Processing Patient Selection
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Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classification.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Automated clinical phenotyping is challenging because word-based features quickly turn it into a high-dimensional problem, in which the small, privacy-restricted, training datasets might lead to overfitting. Pretrained embeddings might sol...
Data Mining Clinical Trials as Topic Classification Logistic Models Natural Language Processing Patient Selection Neural Networks, Computer Machine Learning Deep Learning Humans
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Real world evidence in cardiovascular medicine: ensuring data validity in electronic health record-based studies.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: With growing availability of digital health data and technology, health-related studies are increasingly augmented or implemented using real world data (RWD). Recent federal initiatives promote the use of RWD to make clinical assertions th...
Humans Artificial Intelligence Machine Learning Information Storage and Retrieval Cardiology Retrospective Studies Natural Language Processing Electronic Health Records Data Mining Cardiovascular Diseases Datasets as Topic
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Putting the "why" in "EHR": capturing and coding clinical cognition.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
Complaints about electronic health records, including information overload, note bloat, and alert fatigue, are frequent topics of discussion. Despite substantial effort by researchers and industry, complaints continue noting serious adverse effects o...
Vocabulary, Controlled Humans Clinical Coding Artificial Intelligence Electronic Health Records Cognition User-Computer Interface Workload Information Storage and Retrieval
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