AIMC Topic: Decision Trees

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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.
Female Risk Factors Aged Aged, 80 and over Humans Machine Learning Retrospective Studies Decision Trees Electroencephalography Drug Resistant Epilepsy Status Epilepticus Disease Progression Adolescent Logistic Models Regression Analysis Young Adult Adult Male Middle Aged
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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...
Bangladesh Humidity Decision Trees Weather Humans Data Mining Neural Networks, Computer Climate Change Machine Learning Forecasting
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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...
Humans Decision Trees Machine Learning Algorithms Bayes Theorem Lung Tomography, X-Ray Computed Image Processing, Computer-Assisted Lung Neoplasms Support Vector Machine
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Diagnostic classification based on DNA methylation profiles using sequential machine learning approaches.

PloS one Sep 6, 2024
Aberrant methylation patterns in human DNA have great potential for the discovery of novel diagnostic and disease progression biomarkers. In this paper we used machine learning algorithms to identify promising methylation sites for diagnosing cancero...
Humans Machine Learning DNA Methylation Algorithms Neural Networks, Computer Decision Trees Biomarkers, Tumor CpG Islands Male
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Comparison review of image classification techniques for early diagnosis of diabetic retinopathy.

Biomedical physics & engineering express Sep 5, 2024
Diabetic retinopathy (DR) is one of the leading causes of vision loss in adults and is one of the detrimental side effects of the mass prevalence of Diabetes Mellitus (DM). It is crucial to have an efficient screening method for early diagnosis of DR...
Humans Diabetic Retinopathy Neural Networks, Computer Decision Trees Machine Learning Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Algorithms Deep Learning Early Diagnosis Support Vector Machine
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Machine learning techniques to identify risk factors of breast cancer among women in Mashhad, Iran.

Journal of preventive medicine and hygiene Aug 31, 2024
BACKGROUND: Low survival rates of breast cancer in developing countries are mainly due to the lack of early detection plans and adequate diagnosis and treatment facilities.
Principal Component Analysis Iran Machine Learning Female Case-Control Studies Risk Factors Humans Young Adult Adolescent Aged Logistic Models Adult Decision Trees Breast Neoplasms Middle Aged
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Unveiling the potential of machine learning approaches in predicting the emergence of stroke at its onset: a predicting framework.

Scientific reports Aug 29, 2024
A stroke is a dangerous, life-threatening disease that mostly affects people over 65, but an unhealthy diet is also contributing to the development of strokes at younger ages. Strokes can be treated successfully if they are identified early enough, a...
Stroke Male Logistic Models Machine Learning Support Vector Machine Humans Algorithms Decision Trees Female Aged
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A machine learning approach for age prediction based on trigeminal landmarks.

Journal of forensic and legal medicine Aug 26, 2024
OBJECTIVE: The aim of this study was to estimate the chronological age (CA) of a growing individual using a new machine learning approach on Cone Beam Computed Tomography (CBCT).
Adolescent Child Cone-Beam Computed Tomography Decision Trees Algorithms Humans Principal Component Analysis Female Machine Learning Anatomic Landmarks Young Adult Age Determination by Skeleton Male
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Preoperative prediction of rectal Cancer staging combining MRI deep transfer learning, radiomics features, and clinical factors: accurate differentiation from stage T2 to T3.

BMC gastroenterology Aug 5, 2024
BACKGROUND: This study evaluates the efficacy of integrating MRI deep transfer learning, radiomic signatures, and clinical variables to accurately preoperatively differentiate between stage T2 and T3 rectal cancer.
Magnetic Resonance Imaging Decision Trees Neoplasm Staging Rectal Neoplasms Middle Aged Deep Learning Logistic Models Support Vector Machine Preoperative Period Humans Retrospective Studies Female Aged Adult Radiomics Male
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Artificial intelligence to predict pre-clinical dental student academic performance based on pre-university results: A preliminary study.

Journal of dental education Jul 30, 2024
PURPOSE/OBJECTIVES: Admission into dental school involves selecting applicants for successful completion of the course. This study aimed to predict the academic performance of Kulliyyah of Dentistry, International Islamic University Malaysia pre-clin...
Male Educational Measurement Support Vector Machine Malaysia Decision Trees Education, Dental Academic Performance School Admission Criteria Machine Learning Algorithms Forecasting Female Humans Students, Dental Artificial Intelligence Schools, Dental
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