AIMC Topic: Random Forest

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Authentication of beef cuts by multielement and machine learning approaches.

Journal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements (GMS) Mar 29, 2023
BACKGROUND: Brazil has consolidated a relevant position in the world market, being the largest exporter and second producer of beef. Genetics, feeding system, geographic origin and climate influence the multielement profile of beef. The feasibility o...
Brazil Cattle Bayes Theorem Random Forest Algorithms Animals Machine Learning
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A review and comparative study of cancer detection using machine learning: SBERT and SimCSE application.

BMC bioinformatics Mar 23, 2023
BACKGROUND: Using visual, biological, and electronic health records data as the sole input source, pretrained convolutional neural networks and conventional machine learning methods have been heavily employed for the identification of various maligna...
Machine Learning Algorithms Humans Neural Networks, Computer Random Forest Male Neoplasms
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Optimization of biocementation responses by artificial neural network and random forest in comparison to response surface methodology.

Environmental science and pollution research international Mar 18, 2023
In this article, the optimization of the specific urease activity (SUA) and the calcium carbonate (CaCO) using microbially induced calcite precipitation (MICP) was compared to optimization using three algorithms based on machine learning: random fore...
Neural Networks, Computer Random Forest Calcium Carbonate Machine Learning Algorithms
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Machine Learning Hybrid Model for the Prediction of Chronic Kidney Disease.

Computational intelligence and neuroscience Mar 14, 2023
To diagnose an illness in healthcare, doctors typically conduct physical exams and review the patient's medical history, followed by diagnostic tests and procedures to determine the underlying cause of symptoms. Chronic kidney disease (CKD) is curren...
Algorithms Bayes Theorem Neural Networks, Computer Support Vector Machine Humans Machine Learning Random Forest
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Machine learning to improve false-positive results in the Dutch newborn screening for congenital hypothyroidism.

Clinical biochemistry Mar 4, 2023
OBJECTIVE: The Dutch Congenital hypothyroidism (CH) Newborn Screening (NBS) algorithm for thyroidal and central congenital hypothyroidism (CH-T and CH-C, respectively) is primarily based on determination of thyroxine (T4) concentrations in dried bloo...
Neonatal Screening Humans False Positive Reactions Machine Learning Random Forest Glycoprotein Hormones, alpha Subunit Algorithms Thyroxine Thyroxine-Binding Globulin Infant, Newborn Gestational Age Congenital Hypothyroidism
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PM2.5 Concentration Prediction Model: A CNN-RF Ensemble Framework.

International journal of environmental research and public health Feb 24, 2023
Although many machine learning methods have been widely used to predict PM2.5 concentrations, these single or hybrid methods still have some shortcomings. This study integrated the advantages of convolutional neural network (CNN) feature extraction a...
Air Pollution Particulate Matter Random Forest Neural Networks, Computer Machine Learning
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Phonocardiogram transfer learning-based CatBoost model for diastolic dysfunction identification using multiple domain-specific deep feature fusion.

Computers in biology and medicine Feb 20, 2023
Left ventricular diastolic dyfunction detection is particularly important in cardiac function screening. This paper proposed a phonocardiogram (PCG) transfer learning-based CatBoost model to detect diastolic dysfunction noninvasively. The Short-Time ...
Neural Networks, Computer Random Forest Machine Learning Fourier Analysis Support Vector Machine
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Application of machine learning algorithms in thermal images for an automatic classification of lumbar sympathetic blocks.

Journal of thermal biology Feb 17, 2023
PURPOSE: There are no previous studies developing machine learning algorithms in the classification of lumbar sympathetic blocks (LSBs) performance using infrared thermography data. The objective was to assess the performance of different machine lea...
Machine Learning Support Vector Machine Algorithms Random Forest Humans
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Learning Relationships Between Chemical and Physical Stability for Peptide Drug Development.

Pharmaceutical research Feb 16, 2023
PURPOSE OR OBJECTIVE: Chemical and physical stabilities are two key features considered in pharmaceutical development. Chemical stability is typically reported as a combination of potency and degradation product. Moreover, fluorescent reporter Thiofl...
Neural Networks, Computer Machine Learning Support Vector Machine Random Forest
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An interpretable machine learning approach to multimodal stress detection in a simulated office environment.

Journal of biomedical informatics Jan 30, 2023
BACKGROUND AND OBJECTIVE: Work-related stress affects a large part of today's workforce and is known to have detrimental effects on physical and mental health. Continuous and unobtrusive stress detection may help prevent and reduce stress by providin...
Random Forest Heart Rate Machine Learning Movement Mental Health
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