AIMC Topic: Knowledge Bases

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Explainable artificial intelligence in high-throughput drug repositioning for subgroup stratifications with interventionable potential.

Journal of biomedical informatics Apr 26, 2021
Enabling precision medicine requires developing robust patient stratification methods as well as drugs tailored to homogeneous subgroups of patients from a heterogeneous population. Developing de novo drugs is expensive and time consuming with an ult...
Drug Repositioning Knowledge Bases Computational Biology Humans Precision Medicine Artificial Intelligence
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Inaccuracies in Google's Health-Based Knowledge Panels Perpetuate Widespread Misconceptions Involving Infectious Disease Transmission.

The American journal of tropical medicine and hygiene Apr 26, 2021
Google health-based Knowledge Panels were designed to provide users with high-quality basic medical information on a specific condition. However, any errors contained within Knowledge Panels could result in the widespread distribution of inaccurate h...
Communication Disease Outbreaks Communicable Diseases Humans Congo Search Engine Hemorrhagic Fever, Ebola Knowledge Bases
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Quantifying the separability of data classes in neural networks.

Neural networks : the official journal of the International Neural Network Society Apr 5, 2021
We introduce the Generalized Discrimination Value (GDV) that measures, in a non-invasive manner, how well different data classes separate in each given layer of an artificial neural network. It turns out that, at the end of the training period, the G...
Knowledge Bases Machine Learning
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A knowledge base of clinical trial eligibility criteria.

Journal of biomedical informatics Apr 1, 2021
OBJECTIVE: We present the Clinical Trial Knowledge Base, a regularly updated knowledge base of discrete clinical trial eligibility criteria equipped with a web-based user interface for querying and aggregate analysis of common eligibility criteria.
Algorithms Databases, Factual Humans Knowledge Bases Clinical Trials as Topic Natural Language Processing Electronic Health Records
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Evaluation of a highly refined prediction model in knowledge-based volumetric modulated arc therapy planning for cervical cancer.

Radiation oncology (London, England) Mar 22, 2021
BACKGROUND AND PURPOSE: To explore whether a highly refined dose volume histograms (DVH) prediction model can improve the accuracy and reliability of knowledge-based volumetric modulated arc therapy (VMAT) planning for cervical cancer.
Radiotherapy, Intensity-Modulated Humans Uterine Cervical Neoplasms Female Radiotherapy Planning, Computer-Assisted Knowledge Bases Organs at Risk
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A new approach to medical diagnostic decision support.

Journal of biomedical informatics Mar 9, 2021
Data mining is a powerful tool to reduce costs and mitigate errors in the diagnostic analysis and repair of complex engineered system, but it has yet to be applied systematically to the most complex and socially expensive system - the human body. The...
Bayes Theorem Knowledge Bases Electronic Health Records Humans Software Artificial Intelligence
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Knowledge graph embedding with shared latent semantic units.

Neural networks : the official journal of the International Neural Network Society Feb 27, 2021
Knowledge graph embedding (KGE) aims to project both entities and relations into a continuous low-dimensional space. However, for a given knowledge graph (KG), only a small number of entities and relations occur many times, while the vast majority of...
Neural Networks, Computer Pattern Recognition, Automated Semantics Knowledge Bases
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Cross Knowledge-based Generative Zero-Shot Learning approach with Taxonomy Regularization.

Neural networks : the official journal of the International Neural Network Society Feb 24, 2021
Although zero-shot learning (ZSL) has an inferential capability of recognizing new classes that have never been seen before, it always faces two fundamental challenges of the cross modality and cross-domain challenges. In order to alleviate these pro...
Classification Humans Semantics Knowledge Bases Machine Learning
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Taking a Closed-Book Examination: Decoupling KB-Based Inference by Virtual Hypothesis for Answering Real-World Questions.

Computational intelligence and neuroscience Feb 22, 2021
Complex question answering in real world is a comprehensive and challenging task due to its demand for deeper question understanding and deeper inference. Information retrieval is a common solution and easy to implement, but it cannot answer question...
Information Storage and Retrieval Knowledge Bases Semantics
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Information retrieval on oncology knowledge base using recursive paraphrase lattice.

Journal of biomedical informatics Feb 11, 2021
For annotation in cancer genomic medicine, oncologists have to refer to various knowledge bases worldwide and retrieve all information (e.g., drugs, clinical trials, and academic papers) related to a gene variant. However, oncologists find it difficu...
Medical Oncology Language Knowledge Bases Information Storage and Retrieval
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