AIMC Topic: Algorithms

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[Artificial intelligence in cardiology].

Giornale italiano di cardiologia (2006)
Artificial intelligence (AI) in cardiology represents a great opportunity, if further developed in a trustworthy way, to support human intelligence in daily practice. AI could help cardiologists to operate with greater efficacy and efficiency, suppor...

Prostate Cancer Risk Prediction and Online Calculation Based on Machine Learning Algorithm.

Chinese medical sciences journal = Chung-kuo i hsueh k'o hsueh tsa chih
Objective To build a prostate cancer (PCa) risk prediction model based on common clinical indicators to provide a theoretical basis for the diagnosis and treatment of PCa and to evaluate the value of artificial intelligence (AI) technology under heal...

Semi-supervised Long-tail Endoscopic Image Classification.

Chinese medical sciences journal = Chung-kuo i hsueh k'o hsueh tsa chih
Objective To explore the semi-supervised learning (SSL) algorithm for long-tail endoscopic image classification with limited annotations. Method We explored semi-supervised long-tail endoscopic image classification in HyperKvasir, the largest gastroi...

Coherent modulation imaging using a physics-driven neural network.

Optics express
Coherent modulation imaging (CMI) is a lessness diffraction imaging technique, which uses an iterative algorithm to reconstruct a complex field from a single intensity diffraction pattern. Deep learning as a powerful optimization method can be used t...

PLP_FS: prediction of lysine phosphoglycerylation sites in protein using support vector machine and fusion of multiple F_Score feature selection.

Briefings in bioinformatics
A newly invented post-translational modification (PTM), phosphoglycerylation, has shown its essential role in the construction and functional properties of proteins and dangerous human diseases. Hence, it is very urgent to know about the molecular me...

DTSyn: a dual-transformer-based neural network to predict synergistic drug combinations.

Briefings in bioinformatics
Drug combination therapies are superior to monotherapy for cancer treatment in many ways. Identifying novel drug combinations by screening is challenging for the wet-lab experiments due to the time-consuming process of the enormous search space of po...

multi-type neighbors enhanced global topology and pairwise attribute learning for drug-protein interaction prediction.

Briefings in bioinformatics
MOTIVATION: Accurate identification of proteins interacted with drugs helps reduce the time and cost of drug development. Most of previous methods focused on integrating multisource data about drugs and proteins for predicting drug-target interaction...

Research on lip recognition algorithm based on MobileNet + attention-GRU.

Mathematical biosciences and engineering : MBE
With the development of deep learning and artificial intelligence, the application of lip recognition is in high demand in computer vision and human-machine interaction. Especially, utilizing automatic lip recognition technology to improve performanc...

Multi-model fusion short-term power load forecasting based on improved WOA optimization.

Mathematical biosciences and engineering : MBE
The high accuracy of short-term power load forecasting has a pivotal role in helping power companies to construct reasonable production scheduling plans and avoid resource waste. In this paper, a multi-model short-term power load prediction method ba...