AIMC Topic: Random Forest

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Characterization of noise in long-term ECG monitoring with machine learning based on clinical criteria.

Medical & biological engineering & computing Apr 3, 2023
Noise and artifacts affect strongly the quality of the electrocardiogram (ECG) in long-term ECG monitoring (LTM), making some of its parts impractical for diagnosis. The clinical severity of noise defines a qualitative quality score according to the ...
Neural Networks, Computer Machine Learning Algorithms Humans Artifacts Electrocardiography Random Forest
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Reconstruction and analysis of negatively buoyant jets with interpretable machine learning.

Marine pollution bulletin Apr 1, 2023
In this paper, negatively inclined buoyant jets, which appear during the discharge of wastewater from processes such as desalination, are observed. A detailed numerical investigation is necessary to minimize harmful effects and assess environmental i...
Neural Networks, Computer Machine Learning Wastewater 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...
Bayes Theorem Random Forest Brazil Cattle 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...
Neural Networks, Computer Machine Learning Humans Algorithms Random Forest Neoplasms Male
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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...
Machine Learning Neural Networks, Computer Calcium Carbonate Random Forest 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...
Support Vector Machine Machine Learning Random Forest Humans Algorithms Neural Networks, Computer Bayes Theorem
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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...
Glycoprotein Hormones, alpha Subunit Thyroxine-Binding Globulin Thyroxine Neonatal Screening Humans Gestational Age Congenital Hypothyroidism Infant, Newborn False Positive Reactions Machine Learning Random Forest Algorithms
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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...
Random Forest Neural Networks, Computer Air Pollution Machine Learning Particulate Matter
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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 Fourier Analysis Machine Learning Support Vector Machine
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Development of a Pancreatic Fistula Prediction Model After Pancreaticoduodenectomy Based on a Decision Tree and Random Forest Algorithm.

The American surgeon Feb 17, 2023
BackgroundThe incidence of postoperative pancreatic fistula (POPF) after pancreaticoduodenectomy (PD) is high. We sought to develop a POPF prediction model based on a decision tree (DT) and random forest (RF) algorithm after PD and to explore its cli...
Risk Assessment Postoperative Complications China Male Middle Aged Random Forest Algorithms Pancreatic Fistula Retrospective Studies Aged Humans Pancreaticoduodenectomy ROC Curve Adult Decision Trees Female
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