AIMC Topic: Random Forest

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Using Natural Language Processing to Predict Fatal Drug Overdose From Autopsy Narrative Text: Algorithm Development and Validation Study.

JMIR public health and surveillance May 19, 2023
BACKGROUND: Fatal drug overdose surveillance informs prevention but is often delayed because of autopsy report processing and death certificate coding. Autopsy reports contain narrative text describing scene evidence and medical history (similar to p...
Drug Overdose Algorithms Natural Language Processing Random Forest Humans Autopsy
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Using a stacked ensemble learning framework to predict modulators of protein-protein interactions.

Computers in biology and medicine May 16, 2023
Identifying small molecule protein-protein interaction modulators (PPIMs) is a highly promising and meaningful research direction for drug discovery, cancer treatment, and other fields. In this study, we developed a stacking ensemble computational fr...
Machine Learning Random Forest Drug Discovery
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A machine learning model for orthodontic extraction/non-extraction decision in a racially and ethnically diverse patient population.

International orthodontics May 15, 2023
INTRODUCTION: The purpose of the present study was to create a machine learning (ML) algorithm with the ability to predict the extraction/non-extraction decision in a racially and ethnically diverse sample.
Humans Area Under Curve Algorithms Machine Learning Random Forest Logistic Models
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Henry gas solubility optimization double machine learning classifier for neurosurgical patients.

PloS one May 11, 2023
This study aims to predict head trauma outcome for Neurosurgical patients in children, adults, and elderly people. As Machine Learning (ML) algorithms are helpful in healthcare field, a comparative study of various ML techniques is developed. Several...
Random Forest Solubility Support Vector Machine Algorithms Aged Neural Networks, Computer Humans Adult Machine Learning Child
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Machine learning-based detection and mapping of riverine litter utilizing Sentinel-2 imagery.

Environmental science and pollution research international Apr 28, 2023
Despite the substantial impact of rivers on the global marine litter problem, riverine litter has been accorded inadequate consideration. Therefore, our objective was to detect riverine litter by utilizing middle-scale multispectral satellite images ...
Neural Networks, Computer Rivers Algorithms Random Forest Machine Learning
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Improved accuracy and less fault prediction errors via modified sequential minimal optimization algorithm.

PloS one Apr 13, 2023
The benefits and opportunities offered by cloud computing are among the fastest-growing technologies in the computer industry. Additionally, it addresses the difficulties and issues that make more users more likely to accept and use the technology. T...
Random Forest Support Vector Machine Machine Learning Bayes Theorem Algorithms
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Automatic extraction of ranked SNP-phenotype associations from text using a BERT-LSTM-based method.

BMC bioinformatics Apr 12, 2023
Extraction of associations of singular nucleotide polymorphism (SNP) and phenotypes from biomedical literature is a vital task in BioNLP. Recently, some methods have been developed to extract mutation-diseases affiliations. However, no accessible met...
Random Forest Mutation Machine Learning Phenotype Polymorphism, Single Nucleotide
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Comparing machine learning methods for predicting land development intensity.

PloS one Apr 5, 2023
Land development intensity is a comprehensive indicator to measure the degree of saving and intensive land construction and economic production activities. It is also the result of the joint action of natural, social, economic, and ecological element...
Forecasting Machine Learning Random Forest Computer Simulation Algorithms
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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 ...
Machine Learning Algorithms Neural Networks, Computer Artifacts Electrocardiography Random Forest Humans
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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...
Machine Learning Wastewater Random Forest Neural Networks, Computer
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