AIMC Journal:
Scientific reports

Showing 361 to 370 of 5092 articles

A population based optimization of convolutional neural networks for chronic kidney disease prediction.

Scientific reports Apr 25, 2025
Chronic kidney disease (CKD) is a global public health concern, and the timely detection of the disease is priceless. Most of the classical machine learning models have the major drawbacks of being unsophisticated, non-robust, and non-accurate. This ...
Convolutional Neural Networks Machine Learning Renal Insufficiency, Chronic Humans ROC Curve Neural Networks, Computer Algorithms
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Session interest model for CTR prediction based on feature co-action network.

Scientific reports Apr 25, 2025
The main purpose of click-prediction models is to predict the probability of customers clicking on products and provide support for advertising decisions of businesses. However, most previous models often use deep neural networks to capture implicit ...
Consumer Behavior Neural Networks, Computer Models, Theoretical Humans
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Trade-offs between machine learning and deep learning for mental illness detection on social media.

Scientific reports Apr 25, 2025
Social media platforms provide valuable insights into mental health trends by capturing user-generated discussions on conditions such as depression, anxiety, and suicidal ideation. Machine learning (ML) and deep learning (DL) models have been increas...
Humans Deep Learning Machine Learning Logistic Models Social Media Mental Disorders
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A NLP analysis of digital demand for healthcare jobs in China.

Scientific reports Apr 25, 2025
The rapid growth of the healthcare industry in China has led to a significant talent gap, particularly in the areas of digital skills and management expertise. This study aims to bridge this gap by analyzing healthcare job listings using natural lang...
China Natural Language Processing Humans Delivery of Health Care
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Machine learning for predicting medical outcomes associated with acute lithium poisoning.

Scientific reports Apr 25, 2025
The use of machine learning algorithms and artificial intelligence in medicine has attracted significant interest due to its ability to aid in predicting medical outcomes. This study aimed to evaluate the effectiveness of the random forest algorithm ...
Child Lithium Humans Child, Preschool Machine Learning Algorithms Aged, 80 and over Adult Infant, Newborn Middle Aged Infant Female Male Young Adult Aged Adolescent
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A pioneering artificial intelligence tool to predict treatment outcomes in ovarian cancer via diagnostic laparoscopy.

Scientific reports Apr 25, 2025
Ovarian cancer is associated with high rates of patient mortality and morbidity. Laparoscopic assessment of tumor localization can be used for treatment planning in newly diagnosed high-grade serous ovarian carcinoma (HGSOC). While spread to multiple...
Ovarian Neoplasms Laparoscopy Deep Learning Treatment Outcome Artificial Intelligence Female Aged Middle Aged Humans
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Deep learning based dual stage model for accurate nasogastric tube positioning in chest radiographs.

Scientific reports Apr 25, 2025
Accurate placement of nasogastric tubes (NGTs) is crucial for ensuring patient safety and effective treatment. Traditional methods relying on manual inspection are susceptible to human error, highlighting the need for innovative solutions. This study...
Radiography, Thoracic Intubation, Gastrointestinal Humans Deep Learning
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An LLM-based hybrid approach for enhanced automated essay scoring.

Scientific reports Apr 25, 2025
Automated Essay Scoring systems have traditionally relied on shallow lexical data, such as word frequency and sentence length, to assess essays. However, these approaches neglect crucial factors like text structure and semantics, resulting in limited...
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Vision transformer and deep learning based weighted ensemble model for automated spine fracture type identification with GAN generated CT images.

Scientific reports Apr 25, 2025
The most common causes of spine fractures, or vertebral column fractures (VCF), are traumas like falls, injuries from sports, or accidents. CT scans are affordable and effective at detecting VCF types in an accurate manner. VCF type identification in...
Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Algorithms Spinal Fractures Tomography, X-Ray Computed
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Constructing machine learning-based risk prediction model for osteoarthritis in population aged 45 and above: NHANES 2011-2018.

Scientific reports Apr 24, 2025
Osteoarthritis is a widespread chronic joint disease, becoming increasingly prevalent, particularly among individuals over the age of 45. This condition causes joint pain and dysfunction, significantly disrupting daily life. The objective of this stu...
Humans Nutrition Surveys Osteoarthritis Aged Male Female Middle Aged Machine Learning Risk Factors Risk Assessment Algorithms
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