AIMC Topic: Research Design

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A neural network-based joint learning approach for biomedical entity and relation extraction from biomedical literature.

Journal of biomedical informatics Feb 4, 2020
Recently joint modeling methods of entity and relation exhibit more promising results than traditional pipelined methods in general domain. However, they are inappropriate for the biomedical domain due to numerous overlapping relations in biomedical ...
Research Design Publications Data Mining Neural Networks, Computer
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Evaluation of the predictive ability of ultrasound-based assessment of breast cancer using BI-RADS natural language reporting against commercial transcriptome-based tests.

PloS one Jan 10, 2020
PURPOSE: The objective of this study was to assess the classification capability of Breast Imaging Reporting and Data System (BI-RADS) ultrasound feature descriptors targeting established commercial transcriptomic gene signatures that guide managemen...
Cohort Studies ROC Curve Natural Language Processing Area Under Curve Retrospective Studies Humans Ultrasonography, Mammary Middle Aged Research Design Female Gene Expression Profiling Breast Neoplasms
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A reliable time-series method for predicting arthritic disease outcomes: New step from regression toward a nonlinear artificial intelligence method.

Computer methods and programs in biomedicine Jan 9, 2020
BACKGROUND AND OBJECTIVE: The interrupted time-series (ITS) concept is performed using linear regression to evaluate the impact of policy changes in public health at a specific time. Objectives of this study were to verify, with an artificial intelli...
Incidence Arthritis, Rheumatoid Outcome Assessment, Health Care Humans Artificial Intelligence Research Design Interrupted Time Series Analysis Arthroplasty, Replacement, Knee Linear Models Arthroplasty, Replacement, Hip Hip Knee
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Artificial intelligence approaches using natural language processing to advance EHR-based clinical research.

The Journal of allergy and clinical immunology Dec 26, 2019
The wide adoption of electronic health record systems in health care generates big real-world data that open new venues to conduct clinical research. As a large amount of valuable clinical information is locked in clinical narratives, natural languag...
Humans Electronic Health Records Research Design Natural Language Processing Allergy and Immunology
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Association extraction from biomedical literature based on representation and transfer learning.

Journal of theoretical biology Dec 25, 2019
Extracting biological relations from biomedical literature can deliver personalized treatment to individual patients based on their genomic profiles. In this paper, we present a novel sentence-level attention-based deep neural network to predict the ...
PubMed Humans Machine Learning Neural Networks, Computer Research Design Publications
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Accurate and rapid background estimation in single-molecule localization microscopy using the deep neural network BGnet.

Proceedings of the National Academy of Sciences of the United States of America Dec 23, 2019
Background fluorescence, especially when it exhibits undesired spatial features, is a primary factor for reduced image quality in optical microscopy. Structured background is particularly detrimental when analyzing single-molecule images for 3-dimens...
Algorithms Research Design Deep Learning Neural Networks, Computer Single Molecule Imaging Imaging, Three-Dimensional Image Processing, Computer-Assisted Cell Line
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Using an artificial neural network to map cancer common data elements to the biomedical research integrated domain group model in a semi-automated manner.

BMC medical informatics and decision making Dec 23, 2019
BACKGROUND: The medical community uses a variety of data standards for both clinical and research reporting needs. ISO 11179 Common Data Elements (CDEs) represent one such standard that provides robust data point definitions. Another standard is the ...
Common Data Elements Biomedical Research Neoplasms Semantics Algorithms Research Design Humans Neural Networks, Computer
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Estimating individualized treatment regimes from crossover designs.

Biometrics Dec 19, 2019
The field of precision medicine aims to tailor treatment based on patient-specific factors in a reproducible way. To this end, estimating an optimal individualized treatment regime (ITR) that recommends treatment decisions based on patient characteri...
Precision Medicine Humans Learning Cross-Over Studies Machine Learning Research Design
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Natural language processing to facilitate breast cancer research and management.

The breast journal Dec 18, 2019
The medical literature has been growing exponentially, and its size has become a barrier for physicians to locate and extract clinically useful information. As a promising solution, natural language processing (NLP), especially machine learning (ML)-...
Humans Research Design Female Natural Language Processing Breast Neoplasms
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Right Dose Right Now: bedside data-driven personalized antibiotic dosing in severe sepsis and septic shock - rationale and design of a multicenter randomized controlled superiority trial.

Trials Dec 18, 2019
BACKGROUND: Antibiotic exposure is often inadequate in critically ill patients with severe sepsis or septic shock and this is associated with worse outcomes. Despite markedly altered and rapidly changing pharmacokinetics in these patients, guidelines...
Drug Monitoring Netherlands Kaplan-Meier Estimate Equivalence Trials as Topic Dose-Response Relationship, Drug Multicenter Studies as Topic Randomized Controlled Trials as Topic Shock, Septic Treatment Outcome Artificial Intelligence Intensive Care Units Humans Male Research Design Female Severity of Illness Index Anti-Bacterial Agents Adult Big Data
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