AIMC Topic: Big Data
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Artificial intelligence and big data facilitated targeted drug discovery.
Stroke and vascular neurology
Nov 7, 2019
Different kinds of biological databases publicly available nowadays provide us a goldmine of multidiscipline big data. The Cancer Genome Atlas is a cancer database including detailed information of many patients with cancer. DrugBank is a database in...
A novel approach for breast cancer prediction using optimized ANN classifier based on big data environment.
Health care management science
Nov 5, 2019
Cancer is caused by the un-controlled division of abnormal cells in a body part. Various cancers exist in this world and one amongst them is breast cancer. Breast cancer (BC) threatens the lives of people and today, it is the secondary prime cause of...
Big Data Challenges Targeting Proteins in GPCR Signaling Pathways; Combining PTML-ChEMBL Models and [S]GTPγS Binding Assays.
ACS chemical neuroscience
Nov 4, 2019
G-protein-coupled receptors (GPCRs), also known as 7-transmembrane receptors, are the single largest class of drug targets. Consequently, a large amount of preclinical assays having GPCRs as molecular targets has been released to public sources like ...
[Chances of Artificial Intelligence and Big Data for the Diagnosis and Treatment of Age-related Macular Degeneration].
Klinische Monatsblatter fur Augenheilkunde
Oct 31, 2019
Age-related macular degeneration (AMD) is the leading cause of blindness in the western world. Intravitreal injection of anti-vascular endothelial growth factor (anti-VEGF) is an effective therapy of the neovascular form of this condition. Multimodal...
[Internal Medicine 3.0].
La Revue de medecine interne
Oct 18, 2019
Transforming healthcare with big data analytics and artificial intelligence: A systematic mapping study.
Journal of biomedical informatics
Oct 17, 2019
The domain of healthcare has always been flooded with a huge amount of complex data, coming in at a very fast-pace. A vast amount of data is generated in different sectors of healthcare industry: data from hospitals and healthcare providers, medical ...
Utility of Big Data in Predicting Short-Term Blood Glucose Levels in Type 1 Diabetes Mellitus Through Machine Learning Techniques.
Sensors (Basel, Switzerland)
Oct 16, 2019
Machine learning techniques combined with wearable electronics can deliver accurate short-term blood glucose level prediction models. These models can learn personalized glucose-insulin dynamics based on the sensor data collected by monitoring severa...
Salience-aware adaptive resonance theory for large-scale sparse data clustering.
Neural networks : the official journal of the International Neural Network Society
Sep 21, 2019
Sparse data is known to pose challenges to cluster analysis, as the similarity between data tends to be ill-posed in the high-dimensional Hilbert space. Solutions in the literature typically extend either k-means or spectral clustering with additiona...
[E-health and "Cancer outside the hospital walls", Big Data and artificial intelligence].
Bulletin du cancer
Sep 19, 2019
To heal otherwise in oncology has become an imperative of Public Health and an economic imperative in France. Patients can therefore receive live most of their care outside of hospital with more ambulatory care. This ambulatory shift will benefit fro...
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