AIMC Topic: Electronic Health Records

Clear Filters Showing 1311 to 1320 of 2596 articles

Mining fall-related information in clinical notes: Comparison of rule-based and novel word embedding-based machine learning approaches.

Journal of biomedical informatics Jan 9, 2019
BACKGROUND: Natural language processing (NLP) of health-related data is still an expertise demanding, and resource expensive process. We created a novel, open source rapid clinical text mining system called NimbleMiner. NimbleMiner combines several m...
Machine Learning Electronic Health Records Accidental Falls Natural Language Processing Data Mining Humans
View on PubMed DOI

Utilizing dynamic treatment information for MACE prediction of acute coronary syndrome.

BMC medical informatics and decision making Jan 9, 2019
BACKGROUND: Main adverse cardiac events (MACE) are essentially composite endpoints for assessing safety and efficacy of treatment processes of acute coronary syndrome (ACS) patients. Timely prediction of MACE is highly valuable for improving the effe...
Hospitalization Aged Male Middle Aged Prognosis Electronic Health Records Female Deep Learning Models, Theoretical Acute Coronary Syndrome Humans Neural Networks, Computer
View on PubMed DOI

Using natural language processing to extract clinically useful information from Chinese electronic medical records.

International journal of medical informatics Jan 7, 2019
AIMS: To develop a natural language processing (NLP)-based algorithm for extracting clinically useful information for patients with hepatocellular carcinoma (HCC) from Chinese electronic medical records (EMRs) and use these data for the assessment of...
Natural Language Processing Information Storage and Retrieval China Algorithms Liver Neoplasms Humans Electronic Health Records Carcinoma, Hepatocellular
View on PubMed DOI

A clinical text classification paradigm using weak supervision and deep representation.

BMC medical informatics and decision making Jan 7, 2019
BACKGROUND: Automatic clinical text classification is a natural language processing (NLP) technology that unlocks information embedded in clinical narratives. Machine learning approaches have been shown to be effective for clinical text classificatio...
Natural Language Processing Neural Networks, Computer Smoking Hip Fractures Datasets as Topic Algorithms Humans Machine Learning Electronic Health Records
View on PubMed DOI

A guide to deep learning in healthcare.

Nature medicine Jan 7, 2019
Here we present deep-learning techniques for healthcare, centering our discussion on deep learning in computer vision, natural language processing, reinforcement learning, and generalized methods. We describe how these computational techniques can im...
Humans Delivery of Health Care Electronic Health Records Deep Learning Natural Language Processing Diagnostic Imaging
View on PubMed DOI

Significant shared heritability underlies suicide attempt and clinically predicted probability of attempting suicide.

Molecular psychiatry Jan 4, 2019
Suicide accounts for nearly 800,000 deaths per year worldwide with rates of both deaths and attempts rising. Family studies have estimated substantial heritability of suicidal behavior; however, collecting the sample sizes necessary for successful ge...
Mental Health Male Suicide, Attempted Suicidal Ideation Machine Learning Electronic Health Records Phenotype Female Humans Risk Factors Genome-Wide Association Study United Kingdom Health Surveys Probability Tennessee Biological Specimen Banks White People
View on PubMed DOI

Prediction of fatty liver disease using machine learning algorithms.

Computer methods and programs in biomedicine Dec 29, 2018
BACKGROUND AND OBJECTIVE: Fatty liver disease (FLD) is a common clinical complication; it is associated with high morbidity and mortality. However, an early prediction of FLD patients provides an opportunity to make an appropriate strategy for preven...
Taiwan Early Diagnosis Female Algorithms Humans Forecasting Aged Neural Networks, Computer ROC Curve Adult Electronic Health Records Machine Learning Male Fatty Liver Middle Aged
View on PubMed DOI

Automated data extraction and ensemble methods for predictive modeling of breast cancer outcomes after radiation therapy.

Medical physics Dec 28, 2018
PURPOSE: The purpose of this study was to compare the effectiveness of ensemble methods (e.g., random forests) and single-model methods (e.g., logistic regression and decision trees) in predictive modeling of post-RT treatment failure and adverse eve...
Decision Trees Female Predictive Value of Tests Breast Neoplasms Humans Middle Aged Radiotherapy Dosage Data Mining Treatment Outcome Machine Learning Electronic Health Records
View on PubMed DOI

Using natural language processing and machine learning to identify breast cancer local recurrence.

BMC bioinformatics Dec 28, 2018
BACKGROUND: Identifying local recurrences in breast cancer from patient data sets is important for clinical research and practice. Developing a model using natural language processing and machine learning to identify local recurrences in breast cance...
Reproducibility of Results Breast Neoplasms Cohort Studies Neoplasm Recurrence, Local Unified Medical Language System Support Vector Machine Natural Language Processing Machine Learning Humans Electronic Health Records Female
View on PubMed DOI

Big Data Analysis and Machine Learning in Intensive Care Units.

Medicina intensiva Dec 24, 2018
Intensive care is an ideal environment for the use of Big Data Analysis (BDA) and Machine Learning (ML), due to the huge amount of information processed and stored in electronic format in relation to such care. These tools can improve our clinical re...
Information Dissemination Machine Learning Randomized Controlled Trials as Topic Information Storage and Retrieval Natural Language Processing Data Analysis Intensive Care Units Humans Data Anonymization Databases, Factual Electronic Health Records Critical Care Retrospective Studies Big Data
View on PubMed DOI
Popular Topics
Recent Journals