AIMC Topic: Algorithms

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Stock market forecasting research based on GA-WOA-LSTM.

PloS one Aug 27, 2025
With the increasing complexity and prosperity of global financial markets, stock market forecasting plays a critical role in investment decision-making, market regulation, and economic planning. This study proposes a hybrid prediction model that inte...
Forecasting Models, Economic Investments Humans Neural Networks, Computer Algorithms
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Supervised model based polycystic ovarian syndrome detection in relation to vitamin d deficiency by exploring different feature selection techniques.

Scientific reports Aug 26, 2025
Due to urbanization and modern lifestyle, most of women in today's world are prone to Polycystic Ovarian Syndrome (PCOS), which is a hormonal disorder. Though the symptoms shown by this disease are often uncared, it seriously affects the reproductive...
Female Vitamin D Deficiency Humans Adult Principal Component Analysis Algorithms Polycystic Ovary Syndrome Support Vector Machine
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Advanced smart human activity recognition system for disabled people using artificial intelligence with snake optimizer techniques.

Scientific reports Aug 26, 2025
Human Activity Recognition (HAR) has become an active research area in recent years due to its applicability in various domains and the growing need for convenient facilities and intelligent homes for the elderly. Physical activity tends to decrease ...
Adult Male Middle Aged Algorithms Female Aged Human Activities Humans Artificial Intelligence Machine Learning Deep Learning Persons with Disabilities Activities of Daily Living
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Identifying significant features in adversarial attack detection framework using federated learning empowered medical IoT network security.

Scientific reports Aug 26, 2025
The expansion of the Internet of Medical Things (IoHT) presents significant advantages for healthcare over improved data-driven insights and connectivity and offers critical cybersecurity challenges. Attacks are a serious risk for neural network secu...
Federated Learning Deep Learning Humans Internet of Things Neural Networks, Computer Computer Security Artificial Intelligence Machine Learning Algorithms
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An Extraction Tool for Venous Thromboembolism Symptom Identification in Primary Care Notes to Facilitate Electronic Clinical Quality Measure Reporting: Algorithm Development and Validation Study.

JMIR medical informatics Aug 26, 2025
BACKGROUND: Diagnosis of venous thromboembolism (VTE) is often delayed, and facilitating earlier diagnosis may improve associated morbidity and mortality. Clinical notes contain information not found elsewhere in the medical record that could facilit...
Humans Algorithms Electronic Health Records Female Male Venous Thromboembolism Quality Indicators, Health Care Middle Aged Primary Health Care Natural Language Processing
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Common Variable Immunodeficiency Disorder: A Decade of Insights from a Cohort of 150 Patients in India and the Use of Machine Learning Algorithms to Predict Severity.

Journal of clinical immunology Aug 26, 2025
Common Variable Immunodeficiency (CVID) is a heterogeneous disorder characterized by impaired antibody production and recurrent infections. In this study we investigated the clinical and immunological features of CVID in Indian patients and develops ...
Humans Female Young Adult Adult Machine Learning Algorithms Retrospective Studies India Adolescent B-Lymphocytes Child, Preschool Common Variable Immunodeficiency Male Child Middle Aged Severity of Illness Index
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Leveraging agent-based models and deep reinforcement learning to predict taxis in cell migration.

NPJ systems biology and applications Aug 26, 2025
We present a novel computational framework that combines Agent-Based Modeling (ABM) with Reinforcement Learning (RL) using the Double Deep Q-Network (DDQN) algorithm to determine cellular behavior in response to environmental signals. With this appro...
Models, Biological Reinforcement, Psychology Reinforcement Machine Learning Deep Learning Computational Biology Cell Movement Humans Algorithms Computer Simulation
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Strokeformer: A novel deep learning paradigm training transformer-based architecture for stroke prognosis prediction.

PloS one Aug 26, 2025
Stroke, a common neurological disorder, is considered one of the leading causes of death and disability worldwide. Stroke prognosis issues involve using clinical characteristics collected from patients presented in tabular form to determine whether t...
Algorithms Prognosis Deep Learning Stroke Humans
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Overlapping community detection based on bridging structural features and fuzzy C-means.

PloS one Aug 26, 2025
In recent years, research on community structure for complex networks has received increasing greater attention, and the overlapping community structure is more closely related to the actual social structure than the non-overlapping community structu...
Fuzzy Logic Cluster Analysis Social Networking Humans Algorithms
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Comparative analysis of outcomes in high KDPI spectrum kidney transplants using unsupervised machine learning algorithm.

PloS one Aug 26, 2025
BACKGROUND: The Kidney Donor Profile Index (KDPI) is a continuous metric used to estimate the risk of allograft failure for kidneys from deceased donors. Lower KDPI scores are associated with longer post-transplant kidney function. This study aims to...
Unsupervised Machine Learning Graft Rejection Graft Survival United States Treatment Outcome Retrospective Studies Female Adult Male Middle Aged Tissue Donors Humans Algorithms Kidney Transplantation
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