AIMC Topic: Data Collection

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Comparison of text processing methods in social media-based signal detection.

Pharmacoepidemiology and drug safety Aug 7, 2019
PURPOSE: Adverse event (AE) identification in social media (SM) can be performed using various types of natural language processing (NLP) and machine learning (ML). These methods can be categorized by complexity and precision level. Co-occurrence-bas...
Natural Language Processing False Negative Reactions Feasibility Studies False Positive Reactions Drug-Related Side Effects and Adverse Reactions Retrospective Studies Data Collection Adverse Drug Reaction Reporting Systems Sensitivity and Specificity Social Media Pharmacovigilance Datasets as Topic
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Health Data in Dentistry: An Attempt to Master the Digital Challenge.

Public health genomics Aug 7, 2019
BACKGROUND: Biomedical research has recently moved through three stages in digital healthcare: (1) data collection; (2) data sharing; and (3) data analytics. With the explosion of stored health data (HD), dental medicine is edging into its fourth sta...
Humans Data Collection Artificial Intelligence Dental Research Public Health Medical Informatics Applications
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Leveraging Contextual Sentences for Text Classification by Using a Neural Attention Model.

Computational intelligence and neuroscience Aug 1, 2019
We explored several approaches to incorporate context information in the deep learning framework for text classification, including designing different attention mechanisms based on different neural network and extracting some additional features fro...
Attention Algorithms Data Collection Language Memory Humans Deep Learning Neural Networks, Computer
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Integrating biomedical research and electronic health records to create knowledge-based biologically meaningful machine-readable embeddings.

Nature communications Jul 10, 2019
In order to advance precision medicine, detailed clinical features ought to be described in a way that leverages current knowledge. Although data collected from biomedical research is expanding at an almost exponential rate, our ability to transform ...
Biomedical Research Unsupervised Machine Learning Data Collection Data Analysis Precision Medicine Electronic Health Records
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Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing.

Circulation. Cardiovascular quality and outcomes Jul 9, 2019
BACKGROUND: Data sharing accelerates scientific progress but sharing individual-level data while preserving patient privacy presents a barrier.
Blood Pressure Antihypertensive Agents Confidentiality Humans Hypertension Data Collection Computer Simulation Treatment Outcome Deep Learning Information Dissemination Randomized Controlled Trials as Topic Computer Security
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A novel IRBF-RVM model for diagnosis of atrial fibrillation.

Computer methods and programs in biomedicine May 29, 2019
BACKGROUND AND OBJECTIVE: Atrial fibrillation (AF) is one of the common cardiovascular diseases, and electrocardiography (ECG) is a key indicator for the detection and diagnosis of AF and other heart diseases. In this study, an improved machine learn...
Heart Diseases Probability Normal Distribution Signal Processing, Computer-Assisted Atrial Fibrillation Data Collection Reproducibility of Results Humans Diagnosis, Computer-Assisted Electrocardiography Databases, Factual Support Vector Machine Models, Statistical Bayes Theorem
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Using Machine Learning to Derive Just-In-Time and Personalized Predictors of Stress: Observational Study Bridging the Gap Between Nomothetic and Ideographic Approaches.

Journal of medical Internet research Apr 26, 2019
BACKGROUND: Investigations into person-specific predictors of stress have typically taken either a population-level nomothetic approach or an individualized ideographic approach. Nomothetic approaches can quickly identify predictors but can be hinder...
Humans Machine Learning Data Collection Male Middle Aged Female Stress, Psychological Young Adult Adult
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Hierarchical sequence labeling for extracting BEL statements from biomedical literature.

BMC medical informatics and decision making Apr 9, 2019
BACKGROUND: Extracting relations between bio-entities from biomedical literature is often a challenging task and also an essential step towards biomedical knowledge expansion. The BioCreative community has organized a shared task to evaluate the robu...
Data Collection Natural Language Processing Humans Data Mining Machine Learning Algorithms Language Biomedical Research
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Detecting the Interdisciplinary Nature and Topic Hotspots of Robotics in Surgery: Social Network Analysis and Bibliometric Study.

Journal of medical Internet research Mar 26, 2019
BACKGROUND: With the widespread application of a robot to surgery, growing literature related to robotics in surgery (RS) documents widespread concerns from scientific researchers worldwide. Although such application is helpful to considerably improv...
Bibliometrics Robotics Robotic Surgical Procedures Data Collection Humans
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Semi-supervised encoding for outlier detection in clinical observation data.

Computer methods and programs in biomedicine Jan 12, 2019
BACKGROUND AND OBJECTIVE: Electronic Health Record (EHR) data often include observation records that are unlikely to represent the "truth" about a patient at a given clinical encounter. Due to their high throughput, examples of such implausible obser...
Humans Data Collection Male Neural Networks, Computer Electronic Health Records Medical Informatics ROC Curve Data Interpretation, Statistical Algorithms Female Models, Statistical Registries Reproducibility of Results
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