AIMC Topic: Algorithms

Clear Filters Showing 27851 to 27860 of 28713 articles

Automatic hip geometric feature extraction in DXA imaging using regional random forest.

Journal of X-ray science and technology
BACKGROUND: Hip fracture is considered one of the salient disability factors across the global population. People with hip fractures are prone to become permanently disabled or die from complications. Although currently the premier determiner, bone m...

Doctor AI.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons

Tripartite Network-Based Repurposing Method Using Deep Learning to Compute Similarities for Drug-Target Prediction.

Methods in molecular biology (Clifton, N.J.)
The drug discovery process is conventionally regarded as resource intensive and complex. Therefore, research effort has been put into a process called drug repositioning with the use of computational methods. Similarity-based methods are common in pr...

A Drug-Target Network-Based Supervised Machine Learning Repurposing Method Allowing the Use of Multiple Heterogeneous Information Sources.

Methods in molecular biology (Clifton, N.J.)
Drug-target networks have an important role in pharmaceutical innovation, drug lead discovery, and recent drug repositioning tasks. Many different in silico approaches for the identification of new drug-target interactions have been proposed, many of...

Machine Learning Approach for Predicting New Uses of Existing Drugs and Evaluation of Their Reliabilities.

Methods in molecular biology (Clifton, N.J.)
In this chapter, a new method to evaluate the reliability of predicting new uses of existing drugs was proposed. The prediction was performed with a support vector machine (SVM) using various data. Because the reliability of prediction could not be e...

A Machine-Learning-Based Drug Repurposing Approach Using Baseline Regularization.

Methods in molecular biology (Clifton, N.J.)
We present the baseline regularization model for computational drug repurposing using electronic health records (EHRs). In EHRs, drug prescriptions of various drugs are recorded throughout time for various patients. In the same time, numeric physical...

Computational Prediction of Drug-Target Interactions via Ensemble Learning.

Methods in molecular biology (Clifton, N.J.)
Therapeutic effects of drugs are mediated via interactions between them and their intended targets. As such, prediction of drug-target interactions is of great importance. Drug-target interaction prediction is especially relevant in the case of drug ...