AIMC Topic: Algorithms

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Analysis of Bank Credit Risk Evaluation Model Based on BP Neural Network.

Computational intelligence and neuroscience
Commercial banks are of great value to social and economic development. Therefore, how to accurately evaluate their credit risk and establish a credit risk prevention system has important theoretical and practical significance. This paper combines BP...

Short-Text Classification Detector: A Bert-Based Mental Approach.

Computational intelligence and neuroscience
With the continuous development of the Internet, social media based on short text has become popular. However, the sparsity and shortness of essays will restrict the accuracy of text classification. Therefore, based on the Bert model, we capture the ...

Optimal Deep Learning Enabled Prostate Cancer Detection Using Microarray Gene Expression.

Journal of healthcare engineering
Prostate cancer is the main cause of death over the globe. Earlier detection and classification of cancer is highly important to improve patient health. Previous studies utilized statistical and machine learning (ML) techniques for prostate cancer de...

Intelligent Algorithm-Based Ultrasound Image for Evaluating the Effect of Comprehensive Nursing Scheme on Patients with Diabetic Kidney Disease.

Computational and mathematical methods in medicine
This study was aimed at exploring the effect of ultrasound image evaluation of comprehensive nursing scheme based on artificial intelligence algorithms on patients with diabetic kidney disease (DKD). 44 patients diagnosed with DKD were randomly divid...

Clinical applications of artificial intelligence in sleep medicine: a sleep clinician's perspective.

Sleep & breathing = Schlaf & Atmung
BACKGROUND: The past few years have seen a rapid emergence of artificial intelligence (AI)-enabled technology in the field of sleep medicine. AI refers to the capability of computer systems to perform tasks conventionally considered to require human ...

Artificial intelligence software available for medical devices: surgical phase recognition in laparoscopic cholecystectomy.

Surgical endoscopy
BACKGROUND: Surgical process modeling automatically identifies surgical phases, and further improvement in recognition accuracy is expected with deep learning. Surgical tool or time series information has been used to improve the recognition accuracy...

Objective quantification of the severity of postural tremor based on kinematic parameters: A multi-sensory fusion study.

Computer methods and programs in biomedicine
BACKGROUND: Current clinical assessments of essential tremor (ET) are primarily based on expert consultation combined with reviewing patient complaints, physician expertise, and diagnostic experience. Thus, traditional evaluation methods often lead t...

A novel multi-objective medical feature selection compass method for binary classification.

Artificial intelligence in medicine
The use of Artificial Intelligence in medical decision support systems has been widely studied. Since a medical decision is frequently the result of a multi-objective optimization problem, a popular challenge combining Artificial Intelligence and Med...

Enhancing Detection Quality Rate with a Combined HOG and CNN for Real-Time Multiple Object Tracking across Non-Overlapping Multiple Cameras.

Sensors (Basel, Switzerland)
Multi-object tracking in video surveillance is subjected to illumination variation, blurring, motion, and similarity variations during the identification process in real-world practice. The previously proposed applications have difficulties in learni...

BioS2Net: Holistic Structural and Sequential Analysis of Biomolecules Using a Deep Neural Network.

International journal of molecular sciences
BACKGROUND: For decades, the rate of solving new biomolecular structures has been exceeding that at which their manual classification and feature characterisation can be carried out efficiently. Therefore, a new comprehensive and holistic tool for th...