AIMC Journal:
Scientific reports
Showing 841 to 850 of 5361 articles
Enhancing E-commerce recommendations with sentiment analysis using MLA-EDTCNet and collaborative filtering.
Scientific reports
Feb 25, 2025
The rapid growth of e-commerce has made product recommendation systems essential for enhancing customer experience and driving business success. This research proposes an advanced recommendation framework that integrates sentiment analysis (SA) and c...
A feature explainability-based deep learning technique for diabetic foot ulcer identification.
Scientific reports
Feb 25, 2025
Diabetic foot ulcers (DFUs) are a common and serious complication of diabetes, presenting as open sores or wounds on the sole. They result from impaired blood circulation and neuropathy associated with diabetes, increasing the risk of severe infectio...
Using machine learning to explore the efficacy of administrative variables in prediction of subjective-wellbeing outcomes in New Zealand.
Scientific reports
Feb 25, 2025
The growing acknowledgment of population wellbeing as a key indicator of societal prosperity has propelled governments worldwide to devise policies aimed at improving their citizens' overall wellbeing. In New Zealand, the General Social Survey provid...
Development of weighted residual RNN model with hybrid heuristic algorithm for movement recognition framework in ambient assisted living.
Scientific reports
Feb 25, 2025
In healthcare applications, automatic and intelligent movement recognition systems in Ambient Assisted Living (AAL) are designed for elderly and disabled persons. The AAL provides assistance as well as secure feelings to disabled persons and elderly ...
A machine learning method for predicting molecular antimicrobial activity.
Scientific reports
Feb 24, 2025
In response to the increasing concern over antibiotic resistance and the limitations of traditional methods in antibiotic discovery, we introduce a machine learning-based method named MFAGCN. This method predicts the antimicrobial efficacy of molecul...
Atrial fibrillation risk model based on LASSO and SVM algorithms and immune infiltration of key mitochondrial energy metabolism genes.
Scientific reports
Feb 24, 2025
Atrial fibrillation (AF) is a predominant cardiac arrhythmia with unclear etiology. This study used bioinformatics and machine learning to explore the relationship between mitochondrial energy metabolism-related genes (MEMRGs) and immune infiltration...
Natural language processing of electronic medical records identifies cardioprotective agents for anthracycline induced cardiotoxicity.
Scientific reports
Feb 24, 2025
In this retrospective observational study, we aimed to investigate the potential of natural language processing (NLP) for drug repositioning by analyzing the preventive effects of cardioprotective drugs against anthracycline-induced cardiotoxicity (A...
Anthracyclines
Adrenergic beta-Antagonists
Cardiotonic Agents
Cardiotoxicity
Natural Language Processing
Calcium Channel Blockers
Hydroxymethylglutaryl-CoA Reductase Inhibitors
Angiotensin Receptor Antagonists
Angiotensin-Converting Enzyme Inhibitors
Humans
Male
Middle Aged
Retrospective Studies
Drug Repositioning
Electronic Health Records
Aged
Female
Adult
How adaptive social robots influence cognitive, emotional, and self-regulated learning.
Scientific reports
Feb 24, 2025
As educational environments become more diverse, adaptive technologies like social robots hold promise for providing individual support to learners. This study investigated the role of adaptive teaching of a robot on students' learning outcomes, emot...
Cognitive performance classification of older patients using machine learning and electronic medical records.
Scientific reports
Feb 24, 2025
Dementia rates are projected to increase significantly by 2050, posing considerable challenges for healthcare systems worldwide. Developing efficient diagnostic tools is critical, and machine learning (ML) algorithms have shown potential for improvin...
Optimizing depression detection in clinical doctor-patient interviews using a multi-instance learning framework.
Scientific reports
Feb 24, 2025
In recent years, the number of people suffering from depression has gradually increased, and early detection is of great significance for the well-being of the public. However, the current methods for detecting depression are relatively limited, typi...
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