AIMC Topic: Decision Trees

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Improved survival prediction for kidney transplant outcomes using artificial intelligence-based models: development of the UK Deceased Donor Kidney Transplant Outcome Prediction (UK-DTOP) Tool.

Renal failure Oct 22, 2024
The UK Deceased Donor Kidney Transplant Outcome Prediction (UK-DTOP) Tool, developed using advanced artificial intelligence (AI), significantly enhances the prediction of outcomes for deceased-donor kidney transplants in the UK. This study analyzed d...
Registries United Kingdom Tissue Donors Graft Survival Decision Trees Humans Artificial Intelligence Machine Learning Kidney Transplantation Female Adult Male Middle Aged Risk Assessment
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BCCHI-HCNN: Breast Cancer Classification from Histopathological Images Using Hybrid Deep CNN Models.

Journal of imaging informatics in medicine Oct 14, 2024
Breast cancer is the most common cancer in women globally, imposing a significant burden on global public health due to high death rates. Data from the World Health Organization show an alarming annual incidence of nearly 2.3 million new cases, drawi...
Humans Neural Networks, Computer Support Vector Machine Decision Trees Principal Component Analysis Algorithms Image Interpretation, Computer-Assisted Female Breast Neoplasms Deep Learning
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Dielectric spectroscopy technology combined with machine learning methods for nondestructive detection of protein content in fresh milk.

Journal of food science Oct 11, 2024
To quickly achieve nondestructive detection of protein content in fresh milk, this study utilized a network analyzer and an open coaxial probe to analyze the dielectric spectra of milk samples at 100 frequency points within the 2-20 GHz range, focusi...
Decision Trees Least-Squares Analysis Milk Dielectric Spectroscopy Animals Cattle Support Vector Machine Milk Proteins Machine Learning Algorithms
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Machine learning models for predicting treatment response in infantile epilepsies.

Epilepsy & behavior : E&B Oct 10, 2024
UNLABELLED: Epilepsy stands as one of the prevalent and significant neurological disorders, representing a critical healthcare challenge. Recently, machine learning techniques have emerged as versatile tools across various healthcare domains, encompa...
Female Male Infant Child, Preschool Humans Machine Learning Prognosis Epilepsy Treatment Outcome Anticonvulsants Support Vector Machine Drug Resistant Epilepsy Decision Trees
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TDFFM: Transformer and Deep Forest Fusion Model for Predicting Coronavirus 3C-Like Protease Cleavage Sites.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2024
COVID-19, caused by the highly contagious SARS-CoV-2 virus, is distinguished by its positive-sense, single-stranded RNA genome. A thorough understanding of SARS-CoV-2 pathogenesis is crucial for halting its proliferation. Notably, the 3C-like proteas...
Algorithms SARS-CoV-2 Deep Learning Computational Biology Decision Trees Coronavirus 3C Proteases Humans COVID-19
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Predictive modeling of arginine vasopressin deficiency after transsphenoidal pituitary adenoma resection by using multiple machine learning algorithms.

Scientific reports Sep 27, 2024
This study aimed to predict arginine vasopressin deficiency (AVP-D) following transsphenoidal pituitary adenoma surgery using machine learning algorithms. We reviewed 452 cases from December 2013 to December 2023, analyzing clinical and imaging data....
Male Middle Aged Postoperative Complications Decision Trees Humans Female Pituitary Neoplasms Machine Learning Aged Adenoma Algorithms Adult Arginine Vasopressin Retrospective Studies
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Detection of cardiovascular disease cases using advanced tree-based machine learning algorithms.

Scientific reports Sep 27, 2024
Cardiovascular disease (CVD) can often lead to serious consequences such as death or disability. This study aims to identify a tree-based machine learning method with the best performance criteria for the detection of CVD. This study analyzed data co...
Middle Aged ROC Curve Decision Trees Adult Male Machine Learning Cardiovascular Diseases Algorithms Female Aged Humans
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Progression to refractory status epilepticus: A machine learning analysis by means of classification and regression tree analysis.

Epilepsy & behavior : E&B Sep 21, 2024
BACKGROUND AND OBJECTIVES: to identify predictors of progression to refractory status epilepticus (RSE) using a machine learning technique.
Machine Learning Retrospective Studies Female Risk Factors Aged Aged, 80 and over Young Adult Adult Humans Electroencephalography Drug Resistant Epilepsy Status Epilepticus Male Adolescent Middle Aged Logistic Models Disease Progression Regression Analysis Decision Trees
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Comparison of RNN-LSTM, TFDF and stacking model approach for weather forecasting in Bangladesh using historical data from 1963 to 2022.

PloS one Sep 19, 2024
Forecasting the weather in an area characterized by erratic weather patterns and unpredictable climate change is a challenging endeavour. The weather is classified as a non-linear system since it is influenced by various factors that contribute to cl...
Climate Change Bangladesh Humidity Forecasting Humans Decision Trees Neural Networks, Computer Weather Machine Learning Data Mining
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Human lung cancer classification and comprehensive analysis using different machine learning techniques.

Microscopy research and technique Sep 18, 2024
Lung cancer is the most common causes of death among all cancer-related diseases. A lung scan examination of the patient is the primary diagnostic technique. This scan analysis pertains to an MRI, CT, or X-ray. The automated classification of lung ca...
Decision Trees Bayes Theorem Image Processing, Computer-Assisted Humans Lung Neoplasms Support Vector Machine Machine Learning Algorithms Tomography, X-Ray Computed Lung
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