AIMC Topic: Machine Learning

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[Research progress in medical imaging based on deep learning of neural network].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology Jul 9, 2019
The development of computer hardware allows rapid accumulation of medical imaging data. Deep learning has shown great potential in medical imaging data analysis and establish a new area of machine learning. The commonly used deep learning models were...
Deep Learning Diagnostic Imaging Neural Networks, Computer Machine Learning Research
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Context matters: using reinforcement learning to develop human-readable, state-dependent outbreak response policies.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences Jul 8, 2019
The number of all possible epidemics of a given infectious disease that could occur on a given landscape is large for systems of real-world complexity. Furthermore, there is no guarantee that the control actions that are optimal, on average, over all...
Disease Outbreaks Decision Making Forecasting Models, Biological Communicable Diseases Humans Communicable Disease Control Animals Machine Learning
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DeepMRMP: A new predictor for multiple types of RNA modification sites using deep learning.

Mathematical biosciences and engineering : MBE Jul 4, 2019
RNA modification plays an indispensable role in the regulation of organisms. RNA modification site prediction offers an insight into diverse cellular processing. Regarding different types of RNA modification site prediction, it is difficult to tell t...
Computational Biology RNA Processing, Post-Transcriptional Animals RNA Pseudouridine Deep Learning Humans Saccharomyces cerevisiae Species Specificity Mice Machine Learning Adenosine Algorithms 5-Methylcytosine
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Clinical Decision Support Systems: From the Perspective of Small and Imbalanced Data Set.

Studies in health technology and informatics Jul 4, 2019
Clinical decision support systems are data analysis software that supports health professionals' decision - making the process to reach their ultimate outcome, taking into account patient information. However, the need for decision support systems ca...
Machine Learning Support Vector Machine Algorithms Humans Bayes Theorem Decision Support Systems, Clinical
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Enhancing Precision in Gesture Detection for Hand Recovery After Injury Using Leap Motion and Machine Learning.

Studies in health technology and informatics Jul 4, 2019
This paper presents an improved solution for detecting gestures with a better precision using the Leap Motion sensor and Machine Learning support. A neural network is trained to recognize a hand rotation gesture expressing the grade of recovery, with...
Motion Movement Machine Learning Gestures Hand Humans
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Factors Affecting Venture Funding of Healthcare AI Companies.

Studies in health technology and informatics Jul 4, 2019
Venture Capital (VC) funding raised by companies producing Artificial Intelligence (AI) or Machine Learning (ML) solutions is on the rise and a driver of technology development. In healthcare, VC funding is distributed unevenly and certain technologi...
Commerce Capital Financing Artificial Intelligence Machine Learning Delivery of Health Care Humans
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DeepCNPP: Deep Learning Architecture to Distinguish the Promoter of Human Long Non-Coding RNA Genes and Protein-Coding Genes.

Studies in health technology and informatics Jul 4, 2019
Promoter region of protein-coding genes are gradually being well understood, yet no comparable studies exist for the promoter of long non-coding RNA (lncRNA) genes which has emerged as a global potential regulator in multiple cellular process and dif...
Humans Machine Learning Deep Learning Computational Biology Models, Theoretical RNA, Long Noncoding Promoter Regions, Genetic
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web-rMKL: a web server for dimensionality reduction and sample clustering of multi-view data based on unsupervised multiple kernel learning.

Nucleic acids research Jul 2, 2019
More and more affordable high-throughput techniques for measuring molecular features of biomedical samples have led to a huge increase in availability and size of different types of multi-omic datasets, containing, for example, genetic or histone mod...
Cell Differentiation Internet Survival Analysis Cluster Analysis MicroRNAs Stem Cells Genomics Squamous Cell Carcinoma of Head and Neck DNA Methylation Humans Machine Learning Software Gene Expression Profiling
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mCSM-PPI2: predicting the effects of mutations on protein-protein interactions.

Nucleic acids research Jul 2, 2019
Protein-protein Interactions are involved in most fundamental biological processes, with disease causing mutations enriched at their interfaces. Here we present mCSM-PPI2, a novel machine learning computational tool designed to more accurately predic...
Benchmarking Datasets as Topic Crystallography, X-Ray Protein Binding Proteins Internet Protein Interaction Mapping Protein Interaction Domains and Motifs Protein Conformation, alpha-Helical Binding Sites Thermodynamics Mutation, Missense Humans Machine Learning Software Protein Conformation, beta-Strand
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PrankWeb: a web server for ligand binding site prediction and visualization.

Nucleic acids research Jul 2, 2019
PrankWeb is an online resource providing an interface to P2Rank, a state-of-the-art method for ligand binding site prediction. P2Rank is a template-free machine learning method based on the prediction of local chemical neighborhood ligandability cent...
Protein Conformation, beta-Strand Internet Thermodynamics Benchmarking Protein Interaction Domains and Motifs Software Amino Acid Sequence Humans Protein Conformation, alpha-Helical Protein Binding Ligands Machine Learning Proteins Datasets as Topic Binding Sites
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