AIMC Topic: Machine Learning

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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...
Patient Selection Deep Learning Logistic Models Data Mining Natural Language Processing Clinical Trials as Topic Humans Neural Networks, Computer Machine Learning Classification
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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...
Natural Language Processing Data Mining Datasets as Topic Retrospective Studies Electronic Health Records Cardiovascular Diseases Artificial Intelligence Information Storage and Retrieval Humans Cardiology Machine Learning
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Novel Machine Learning Approach to Identify Preoperative Risk Factors Associated With Super-Utilization of Medicare Expenditure Following Surgery.

JAMA surgery Nov 1, 2019
IMPORTANCE: Typically defined as the top 5% of health care users, super-utilizers are responsible for an estimated 40% to 55% of all health care costs. Little is known about which factors may be associated with increased risk of long-term postoperati...
Medicare Health Expenditures Preoperative Care Patient Acceptance of Health Care Machine Learning United States Retrospective Studies Postoperative Care Humans Aged Elective Surgical Procedures Male Female Risk Assessment Risk Factors
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A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice.

Critical care medicine Nov 1, 2019
OBJECTIVES: Develop and implement a machine learning algorithm to predict severe sepsis and septic shock and evaluate the impact on clinical practice and patient outcomes.
Machine Learning Algorithms Humans Shock, Septic Diagnosis, Computer-Assisted Cohort Studies Retrospective Studies Text Messaging Sepsis Electronic Health Records Decision Support Systems, Clinical Hospitals, Teaching Sensitivity and Specificity
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Development of a global infectious disease activity database using natural language processing, machine learning, and human expertise.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: We assessed whether machine learning can be utilized to allow efficient extraction of infectious disease activity information from online media reports.
Population Surveillance Natural Language Processing Information Storage and Retrieval Global Health Disease Outbreaks User-Computer Interface Communicable Diseases Databases, Factual Humans Machine Learning
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Cohort selection for clinical trials using hierarchical neural network.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Cohort selection for clinical trials is a key step for clinical research. We proposed a hierarchical neural network to determine whether a patient satisfied selection criteria or not.
Data Mining Clinical Trials as Topic Electronic Data Processing Humans Neural Networks, Computer Machine Learning Natural Language Processing Patient Selection Electronic Health Records Mental Health
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ML-Net: multi-label classification of biomedical texts with deep neural networks.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: In multi-label text classification, each textual document is assigned 1 or more labels. As an important task that has broad applications in biomedicine, a number of different computational methods have been proposed. Many of these methods,...
Neural Networks, Computer Machine Learning Deep Learning Computational Biology Classification Natural Language Processing Benchmarking Data Mining
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Network context matters: graph convolutional network model over social networks improves the detection of unknown HIV infections among young men who have sex with men.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: HIV infection risk can be estimated based on not only individual features but also social network information. However, there have been insufficient studies using n machine learning methods that can maximize the utility of such information...
Humans Neural Networks, Computer Machine Learning Models, Theoretical Models, Statistical Male Homosexuality, Male Adolescent Social Networking HIV Infections Sexual Partners Prospective Studies Disease Transmission, Infectious Young Adult Adult
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Hybrid bag of approaches to characterize selection criteria for cohort identification.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: The 2018 National NLP Clinical Challenge (2018 n2c2) focused on the task of cohort selection for clinical trials, where participating systems were tasked with analyzing longitudinal patient records to determine if the patients met or did n...
Data Mining Pattern Recognition, Automated Clinical Trials as Topic Machine Learning Natural Language Processing Patient Selection Humans
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Development and application of a high throughput natural language processing architecture to convert all clinical documents in a clinical data warehouse into standardized medical vocabularies.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Natural language processing (NLP) engines such as the clinical Text Analysis and Knowledge Extraction System are a solution for processing notes for research, but optimizing their performance for a clinical data warehouse remains a challen...
Humans Machine Learning Electronic Health Records Unified Medical Language System Natural Language Processing Data Mining Vocabulary, Controlled Patient Readmission
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