AIMC Topic: Neural Networks, Computer

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Facial Recognition Neural Networks Confirm Success of Facial Feminization Surgery.

Plastic and reconstructive surgery Jan 1, 2020
BACKGROUND: Male-to-female transgender patients desire to be identified, and treated, as female, in public and social settings. Facial feminization surgery entails a combination of highly visible changes in facial features. To study the effectiveness...
Treatment Outcome Gender-Affirming Surgery Feasibility Studies Sex Characteristics Face Humans Neural Networks, Computer Adult Postoperative Period Female Transgender Persons Male Image Processing, Computer-Assisted
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Ensuring electronic medical record simulation through better training, modeling, and evaluation.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: Electronic medical records (EMRs) can support medical research and discovery, but privacy risks limit the sharing of such data on a wide scale. Various approaches have been developed to mitigate risk, including record simulation via genera...
Computer Simulation Electronic Health Records Age Distribution Female Humans Neural Networks, Computer Adult Privacy Models, Theoretical Male Datasets as Topic Data Anonymization Child
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Extracting medications and associated adverse drug events using a natural language processing system combining knowledge base and deep learning.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: Detecting adverse drug events (ADEs) and medications related information in clinical notes is important for both hospital medical care and medical research. We describe our clinical natural language processing (NLP) system to automatically...
Natural Language Processing Drug-Related Side Effects and Adverse Reactions Knowledge Bases Information Storage and Retrieval Unified Medical Language System Electronic Health Records Deep Learning Narration Humans Neural Networks, Computer
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Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: To develop a natural language processing system that identifies relations of medications with adverse drug events from clinical narratives. This project is part of the 2018 n2c2 challenge.
Humans Information Storage and Retrieval Narration Neural Networks, Computer Natural Language Processing Electronic Health Records Drug-Related Side Effects and Adverse Reactions Deep Learning
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A Drug Decision Support System for Developing a Successful Drug Candidate Using Machine Learning Techniques.

Current computer-aided drug design Jan 1, 2020
BACKGROUND: Virtual screening of candidate drug molecules using machine learning techniques plays a key role in pharmaceutical industry to design and discovery of new drugs. Computational classification methods can determine drug types according to t...
Humans Neural Networks, Computer Machine Learning Drug Discovery Drug Design Data Mining
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Adverse drug events and medication relation extraction in electronic health records with ensemble deep learning methods.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: Identification of drugs, associated medication entities, and interactions among them are crucial to prevent unwanted effects of drug therapy, known as adverse drug events. This article describes our participation to the n2c2 shared-task in...
Drug-Related Side Effects and Adverse Reactions Information Storage and Retrieval Deep Learning Natural Language Processing Drug Interactions Humans Neural Networks, Computer Electronic Health Records
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Adverse drug event and medication extraction in electronic health records via a cascading architecture with different sequence labeling models and word embeddings.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: An adverse drug event (ADE) refers to an injury resulting from medical intervention related to a drug including harm caused by drugs or from the usage of drugs. Extracting ADEs from clinical records can help physicians associate adverse ev...
Information Storage and Retrieval Terminology as Topic Narration Natural Language Processing Drug-Related Side Effects and Adverse Reactions Humans Neural Networks, Computer Algorithms Electronic Health Records
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DeePaC: predicting pathogenic potential of novel DNA with reverse-complement neural networks.

Bioinformatics (Oxford, England) Jan 1, 2020
MOTIVATION: We expect novel pathogens to arise due to their fast-paced evolution, and new species to be discovered thanks to advances in DNA sequencing and metagenomics. Moreover, recent developments in synthetic biology raise concerns that some stra...
Neural Networks, Computer Deep Learning Sequence Analysis, DNA DNA
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Development of a periodontitis risk assessment model for primary care providers in an interdisciplinary setting.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2020
BACKGROUND: Periodontitis (PD), a form of gum disease, is a major public health concern as it is globally prevalent and harms both individual quality of life and economic productivity. Global cost in lost productivity is estimated at US$54 billion an...
Humans Neural Networks, Computer Artificial Intelligence Retrospective Studies Periodontitis Middle Aged Blood Pressure Comorbidity Bayes Theorem Primary Health Care Support Vector Machine Young Adult Decision Support Systems, Clinical Age Factors Adult Sex Factors Logistic Models Lipids Male Body Weights and Measures Socioeconomic Factors Oral Hygiene Female Aged Aged, 80 and over
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HUNER: improving biomedical NER with pretraining.

Bioinformatics (Oxford, England) Jan 1, 2020
MOTIVATION: Several recent studies showed that the application of deep neural networks advanced the state-of-the-art in named entity recognition (NER), including biomedical NER. However, the impact on performance and the robustness of improvements cr...
Neural Networks, Computer Software Data Analysis Computational Biology
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