AIMC Topic: Knowledge Bases
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On building a diabetes centric knowledge base via mining the web.
BMC medical informatics and decision making
Apr 9, 2019
BACKGROUND: Diabetes has become one of the hot topics in life science researches. To support the analytical procedures, researchers and analysts expend a mass of labor cost to collect experimental data, which is also error-prone. To reduce the cost a...
An ontological framework for the formalization, organization and usage of TCM-Knowledge.
BMC medical informatics and decision making
Apr 9, 2019
BACKGROUND: The traditional Chinese Medicine Language System (TCMLS) is a large-scale terminology system, developed from 2002 on by the Institute of Information of Traditional Chinese Medicine (IITCM). Until now, more than 120,000 concepts, 300,000 t...
A knowledge-based system for brain tumor segmentation using only 3D FLAIR images.
Australasian physical & engineering sciences in medicine
Apr 8, 2019
This study aims to develop a semi-automatic system for brain tumor segmentation in 3D MR images. For a given image, noise was corrected using SUSAN algorithm first. A specific region of interest (ROI) that contains tumor was identified and then the i...
Stochastic frontier analysis as knowledge-based model to improve sparing of organs-at-risk for VMAT-treated prostate cancer.
Physics in medicine and biology
Apr 8, 2019
Stochastic frontier analysis (SFA) is used as a novel knowledge-based technique in order to develop a predictive model of dosimetric features from significant geometric parameters describing a patient morphology. 406 patients treated with VMAT for pr...
Machine learning applied to multi-sensor information to reduce false alarm rate in the ICU.
Journal of clinical monitoring and computing
Apr 6, 2019
Studies reveal that the false alarm rate (FAR) demonstrated by intensive care unit (ICU) vital signs monitors ranges from 0.72 to 0.99. We applied machine learning (ML) to ICU multi-sensor information to imitate a medical specialist in diagnosing pat...
Clinical text classification with rule-based features and knowledge-guided convolutional neural networks.
BMC medical informatics and decision making
Apr 4, 2019
BACKGROUND: Clinical text classification is an fundamental problem in medical natural language processing. Existing studies have cocnventionally focused on rules or knowledge sources-based feature engineering, but only a limited number of studies hav...
Contemporary pharmacogenetic assays in view of the PharmGKB database.
Pharmacogenomics
Mar 18, 2019
AIM: Six modern PGx assays were compared with the Pharmacogenomics Knowledge Base (PharmGKB) to determine the proportion of the currently known PGx genotypes that are assessed by these assays.
TADKB: Family classification and a knowledge base of topologically associating domains.
BMC genomics
Mar 14, 2019
BACKGROUND: Topologically associating domains (TADs) are considered the structural and functional units of the genome. However, there is a lack of an integrated resource for TADs in the literature where researchers can obtain family classifications a...
Knowledge Domain and Emerging Trends on Echinococcosis Research: A Scientometric Analysis.
International journal of environmental research and public health
Mar 8, 2019
The echinococcosis of humans and animals is a chronic helminthic disease caused by the larva of genus tapeworms. It is a globally distributed disease which is an important socioeconomic and public health problem in many low and middle-income countri...
Impact of nominal photon energies on normal tissue sparing in knowledge-based radiotherapy treatment planning for rectal cancer patients.
PloS one
Mar 7, 2019
The interactive adjustment of the optimization objectives during the treatment planning process has made it difficult to evaluate the impact of beam quality exclusively in radiotherapy. Without consensus in the published results, the arbitrary select...
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