AIMC Topic: Medical Records

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Development and Validation of Forecasting Next Reported Seizure Using e-Diaries.

Annals of neurology Jul 9, 2020
OBJECTIVE: There are no validated methods for predicting the timing of seizures. Using machine learning, we sought to forecast 24-hour risk of self-reported seizure from e-diaries.
Young Adult Adult Male Female Aged Humans Aged, 80 and over Machine Learning Child, Preschool Middle Aged Child Infant Seizures Adolescent Medical Records
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Machine learning and artificial intelligence in haematology.

British journal of haematology Jun 30, 2020
Digitalization of the medical record and integration of genomic methods into clinical practice have resulted in an unprecedented wealth of data. Machine learning is a subdomain of artificial intelligence that attempts to computationally extract meani...
Humans Machine Learning Computational Biology Medical Records Hematology
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Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients.

BMC medical informatics and decision making Apr 29, 2020
BACKGROUND: Automated de-identification methods for removing protected health information (PHI) from the source notes of the electronic health record (EHR) rely on building systems to recognize mentions of PHI in text, but they remain inadequate at e...
Humans Machine Learning Electronic Health Records Opioid-Related Disorders Unified Medical Language System Medical Records Adult Inpatients Natural Language Processing
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Applying Deep Neural Networks over Homomorphic Encrypted Medical Data.

Computational and mathematical methods in medicine Apr 9, 2020
In recent years, powered by state-of-the-art achievements in a broad range of areas, machine learning has received considerable attention from the healthcare sector. Despite their ability to provide solutions within personalized medicine, strict regu...
Deep Learning Coronary Angiography Feasibility Studies Databases, Factual Precision Medicine Hemodynamics Models, Cardiovascular Privacy Computer Security Medical Records Neural Networks, Computer Algorithms Humans
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Leveraging Contextual Information in Extracting Long Distance Relations from Clinical Notes.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Relation extraction from biomedical text is important for clinical decision support applications. In post-marketing pharmacovigilance, for example, Adverse Drug Events (ADE) relate medical problems to the drugs that caused them and were the focus of ...
Information Storage and Retrieval Medical Records Drug-Related Side Effects and Adverse Reactions Humans Product Surveillance, Postmarketing Pharmacovigilance Deep Learning Datasets as Topic Natural Language Processing
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A temporal visualization of chronic obstructive pulmonary disease progression using deep learning and unstructured clinical notes.

BMC medical informatics and decision making Dec 17, 2019
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a progressive lung disease that is classified into stages based on disease severity. We aimed to characterize the time to progression prior to death in patients with COPD and to generate a t...
Disease Progression Deep Learning Medical Records Data Visualization Female Pulmonary Disease, Chronic Obstructive Male Humans Neural Networks, Computer
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Predicting the occurrence of surgical site infections using text mining and machine learning.

PloS one Dec 13, 2019
In this study we propose the use of text mining and machine learning methods to predict and detect Surgical Site Infections (SSIs) using textual descriptions of surgeries and post-operative patients' records, mined from the database of a high complex...
Middle Aged Predictive Value of Tests Bayes Theorem Humans Databases, Factual Machine Learning Data Mining Female Algorithms Surgical Wound Infection Male Medical Records
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Combining string and phonetic similarity matching to identify misspelt names of drugs in medical records written in Portuguese.

Journal of biomedical semantics Nov 12, 2019
BACKGROUND: There is an increasing amount of unstructured medical data that can be analysed for different purposes. However, information extraction from free text data may be particularly inefficient in the presence of spelling errors. Existing appro...
Portugal Algorithms Language Medical Records Pharmaceutical Preparations Natural Language Processing Phonetics Information Storage and Retrieval
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Deep learning to convert unstructured CT pulmonary angiography reports into structured reports.

European radiology experimental Sep 23, 2019
BACKGROUND: Structured reports have been shown to improve communication between radiologists and providers. However, some radiologists are concerned about resultant decreased workflow efficiency. We tested a machine learning-based algorithm designed ...
Humans Medical Records Algorithms Computed Tomography Angiography Retrospective Studies Pulmonary Artery Deep Learning
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An interpretable natural language processing system for written medical examination assessment.

Journal of biomedical informatics Aug 14, 2019
OBJECTIVE: The assessment of written medical examinations is a tedious and expensive process, requiring significant amounts of time from medical experts. Our objective was to develop a natural language processing (NLP) system that can expedite the as...
Pattern Recognition, Automated Unified Medical Language System Medical Records Schools, Medical Data Curation Licensure, Medical Natural Language Processing Humans Data Collection Software Education, Medical Clinical Competence Algorithms Educational Measurement Reproducibility of Results Fuzzy Logic
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