AIMC Topic: Models, Theoretical

Clear Filters Showing 911 to 920 of 1953 articles

Prediction of ATP-binding sites in membrane proteins using a two-dimensional convolutional neural network.

Journal of molecular graphics & modelling Jul 15, 2019
Membrane proteins, the most important drug targets, account for around 30% of total proteins encoded by the genome of living organisms. An important role of these proteins is to bind adenosine triphosphate (ATP), facilitating crucial biological proce...
Databases, Protein Neural Networks, Computer Amino Acid Sequence Position-Specific Scoring Matrices Membrane Proteins Adenosine Triphosphate Reproducibility of Results Machine Learning Binding Sites ROC Curve Algorithms Models, Theoretical Amino Acid Motifs Computational Biology Web Browser
View on PubMed DOI

Patient-based prediction algorithm of relapse after allo-HSCT for acute Leukemia and its usefulness in the decision-making process using a machine learning approach.

Cancer medicine Jul 15, 2019
Although allogeneic hematopoietic stem cell transplantation (allo-HSCT) is a curative therapy for high-risk acute leukemia (AL), some patients still relapse. Since patients simultaneously have many prognostic factors, difficulties are associated with...
Hematopoietic Stem Cell Transplantation Transplantation, Homologous Patient Participation Survival Analysis Disease Management Leukemia, Myeloid, Acute Humans Male Middle Aged Machine Learning Algorithms Models, Theoretical Treatment Outcome Decision Trees Female Young Adult Prognosis Adult Clinical Decision-Making
View on PubMed DOI

Precursor-induced conditional random fields: connecting separate entities by induction for improved clinical named entity recognition.

BMC medical informatics and decision making Jul 15, 2019
BACKGROUND: This paper presents a conditional random fields (CRF) method that enables the capture of specific high-order label transition factors to improve clinical named entity recognition performance. Consecutive clinical entities in a sentence ar...
Models, Theoretical Natural Language Processing Health Information Systems Humans
View on PubMed DOI

Employing a Fuzzy-Based Grey Modeling Procedure to Forecast China's Sulfur Dioxide Emissions.

International journal of environmental research and public health Jul 13, 2019
Effective determination of trends in sulfur dioxide emissions facilitates national efforts to draft an appropriate policy that aims to lower sulfur dioxide emissions, which is essential for reducing atmospheric pollution. However, to reflect the curr...
Air Pollutants Sulfur Dioxide Models, Theoretical Fuzzy Logic Forecasting China
View on PubMed DOI

AI- modelling of molecular identification and feminization of wolbachia infected Aedes aegypti.

Progress in biophysics and molecular biology Jul 11, 2019
BACKGROUND: The genetic control strategies of vector borne diseases includes the replacement of a vector population by "disease-refractory" mosquitoes and the release of mosquitoes with a gene to control the vector's reproduction rates. Wolbachia are...
Aedes Infections Mosquito Vectors Models, Biological Reproduction Systems Analysis Feminization Wolbachia Humans Artificial Intelligence Computer Simulation Animals Male Models, Theoretical
View on PubMed DOI

Classification of alkaloids according to the starting substances of their biosynthetic pathways using graph convolutional neural networks.

BMC bioinformatics Jul 9, 2019
BACKGROUND: Alkaloids, a class of organic compounds that contain nitrogen bases, are mainly synthesized as secondary metabolites in plants and fungi, and they have a wide range of bioactivities. Although there are thousands of compounds in this class...
Neural Networks, Computer Algorithms Models, Theoretical Biosynthetic Pathways Metabolome Alkaloids
View on PubMed DOI

Deep Reinforcement Learning for Multiparameter Optimization in Drug Design.

Journal of chemical information and modeling Jul 5, 2019
In medicinal chemistry programs it is key to design and make compounds that are efficacious and safe. This is a long, complex, and difficult multiparameter optimization process, often including several properties with orthogonal trends. New methods f...
Drug Design Drug Discovery Models, Theoretical Neural Networks, Computer Models, Molecular Machine Learning Molecular Structure
View on PubMed DOI

BioGD: Bio-inspired robust gradient descent.

PloS one Jul 5, 2019
Recent research in machine learning pointed to the core problem of state-of-the-art models which impedes their widespread adoption in different domains. The models' inability to differentiate between noise and subtle, yet significant variation in dat...
Machine Learning Models, Theoretical
View on PubMed DOI

Learning-based classification of valence emotion from electroencephalography.

The International journal of neuroscience Jul 3, 2019
The neuroimaging research field has been revolutionized with the development of human cognitive functions without the use of brain pathways. To assist such systems, electroencephalography (EEG) based measures play an important role. In this study, th...
Young Adult Adult Models, Theoretical Neural Networks, Computer Machine Learning Brain Datasets as Topic Brain Waves Recognition, Psychology Emotions Humans Electroencephalography Signal Processing, Computer-Assisted
View on PubMed DOI

Adaptive fractional fuzzy sliding mode control of microgyroscope based on backstepping design.

PloS one Jun 24, 2019
In this paper, a robust sliding mode control (SMC) based on backstepping technique is studied for a microgyroscope in the presence of unknown model uncertainties and external disturbances using adaptive fuzzy compensator and fractional calculus. At f...
Algorithms Models, Theoretical Fuzzy Logic
View on PubMed DOI
Popular Topics
Recent Journals