AIMC Topic: Algorithms

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Automated multi-model framework for malaria detection using deep learning and feature fusion.

Scientific reports Jul 16, 2025
Malaria remains a critical global health challenge, particularly in tropical and subtropical regions. While traditional methods for diagnosis are effective, they face some limitations related to accuracy, time consumption, and manual effort. This stu...
Malaria Deep Learning Support Vector Machine Humans Algorithms
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An explainable and federated deep learning framework for skin cancer diagnosis.

PloS one Jul 16, 2025
Skin cancer (SC) is the most prominent form of cancer in humans, with over 1 million new cases reported worldwide each year. Early identification of SC plays a crucial role in effective treatment. However, protecting patient data privacy is a major c...
Humans Skin Neoplasms Deep Learning Algorithms
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Hybrid feature selection framework for enhanced credit card fraud detection using machine learning models.

PloS one Jul 16, 2025
Electronic payment methods are increasingly prevalent worldwide, facilitating both in-person and online transactions. As credit card usage for online payments grows, fraud and payment defaults have also risen, resulting in significant financial losse...
Algorithms Fraud Humans Machine Learning
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Development of a risk prediction model for sepsis-related delirium based on multiple machine learning approaches and an online calculator.

PloS one Jul 16, 2025
BACKGROUND: Sepsis-associated delirium (SAD) occurs due to disruptions in neurotransmission linked to inflammatory responses from infections. It poses significant challenges in clinical management and is associated with poor outcomes. Survivors often...
Risk Factors Aged Intensive Care Units Female Risk Assessment Sepsis Delirium Male Middle Aged Humans Machine Learning Retrospective Studies Critical Illness Algorithms
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Mapping burnt areas using very high-resolution imagery and deep learning algorithms - a case study in Bandipur, India.

PloS one Jul 16, 2025
Burnt area (BA) mapping is crucial for assessing wildfire impact, guiding restoration efforts, and improving fire management strategies. Accurate BA data helps estimate carbon emissions, biodiversity loss, and land surface properties post-fire change...
Fires ROC Curve India Algorithms Deep Learning
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Construction of a machine learning-based screening model for IgD myeloma.

Clinica chimica acta; international journal of clinical chemistry Jul 15, 2025
OBJECTIVE: Immunoglobulin D (IgD) myeloma is a rare subtype of multiple myeloma (MM), comprising approximately 1 %-2 % of all MM cases. Owing to the diminished levels of IgD in serum, IgD MM manifests as subtle M protein spikes in routine serum elect...
Middle Aged Multiple Myeloma Immunoglobulin D Aged Male Algorithms Humans Machine Learning Female
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HVUNet: A hybrid vision transformer-based UNet for accurate detection and localization in histopathology images.

Computers in biology and medicine Jul 15, 2025
Precise identification of object of interest (OoI) in histopathology images plays a vital role in cancer diagnosis and prognosis. Despite advances in digital pathology, detecting specific cellular structures within these images remains a significant ...
Databases, Factual Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Humans Algorithms
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Domain-incremental white blood cell classification with privacy-aware continual learning.

Scientific reports Jul 15, 2025
White blood cell (WBC) classification plays a vital role in hematology for diagnosing various medical conditions. However, it faces significant challenges due to domain shifts caused by variations in sample sources (e.g., blood or bone marrow) and di...
Privacy Deep Learning Humans Leukocytes Algorithms
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Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images.

Scientific reports Jul 15, 2025
Birth complications, particularly jaundice, are one of the leading causes of adolescent death and disease all over the globe. The main severity of these illnesses may diminish if scholars study more about their sources and progress toward effective t...
Image Processing, Computer-Assisted Humans Extreme Learning Machines Jaundice, Neonatal Infant, Newborn Machine Learning Algorithms Deep Learning Female
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Predicting clozapine-induced adverse drug reaction biomarkers using machine learning.

Scientific reports Jul 15, 2025
Clozapine is an atypical antipsychotic used for patients with treatment-resistant schizophrenia. This drug has serious adverse drug reactions (ADRs), including the risk of severe neutropenia (agranulocytosis). Patients who could benefit from clozapin...
Schizophrenia Drug-Related Side Effects and Adverse Reactions Antipsychotic Agents Agranulocytosis Clozapine Machine Learning Male Algorithms Female Middle Aged Biomarkers Adult Humans
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