AIMC Topic: Machine Learning

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Targeting Virus-host Protein Interactions: Feature Extraction and Machine Learning Approaches.

Current drug metabolism
BACKGROUND: Targeting critical viral-host Protein-Protein Interactions (PPIs) has enormous application prospects for therapeutics. Using experimental methods to evaluate all possible virus-host PPIs is labor-intensive and time-consuming. Recent growt...

Machine Learning Methods for Identifying Critical Data Elements in Nursing Documentation.

Nursing research
BACKGROUND: Public health nurses (PHNs) engage in home visiting services and documentation of care services for at-risk clients. To increase efficiency and decrease documentation burden, it would be useful for PHNs to identify critical data elements ...

Recent Advances in the Machine Learning-Based Drug-Target Interaction Prediction.

Current drug metabolism
BACKGROUND: The identification of drug-target interactions is a crucial issue in drug discovery. In recent years, researchers have made great efforts on the drug-target interaction predictions, and developed databases, software and computational meth...

Survey of Machine Learning Techniques in Drug Discovery.

Current drug metabolism
BACKGROUND: Drug discovery, which is the process of discovering new candidate medications, is very important for pharmaceutical industries. At its current stage, discovering new drugs is still a very expensive and time-consuming process, requiring Ph...

Unhealthy Behaviors, Prevention Measures, and Neighborhood Cardiovascular Health: A Machine Learning Approach.

Journal of public health management and practice : JPHMP
This study identifies and ranks predictors of cardiovascular health at the neighborhood level in the United States. We merged the 500 Cities Data and the 2011-2015 American Community Survey to create a new data set that includes sociodemographic char...

The Application of Machine Learning Techniques in Clinical Drug Therapy.

Current computer-aided drug design
INTRODUCTION: The development of a novel drug is an extremely complicated process that includes the target identification, design and manufacture, and proper therapy of the novel drug, as well as drug dose selection, drug efficacy evaluation, and adv...

Brain Age in Early Stages of Bipolar Disorders or Schizophrenia.

Schizophrenia bulletin
BACKGROUND: The greater presence of neurodevelopmental antecedants may differentiate schizophrenia from bipolar disorders (BD). Machine learning/pattern recognition allows us to estimate the biological age of the brain from structural magnetic resona...

SpliceRover: interpretable convolutional neural networks for improved splice site prediction.

Bioinformatics (Oxford, England)
MOTIVATION: During the last decade, improvements in high-throughput sequencing have generated a wealth of genomic data. Functionally interpreting these sequences and finding the biological signals that are hallmarks of gene function and regulation is...