Results 1 to 10 of about 17,286,028 (305)
Prediction of respiratory diseases based on random forest model [PDF]
Frontiers in Public HealthIn recent years, the random forest model has been widely applied to analyze the relationships among air pollution, meteorological factors, and human health. To investigate the patterns and influencing factors of respiratory disease-related medical visits,
Xiaotong Yang +7 more
doaj +4 more sources
A hybrid random forest model for stroke risk prediction [PDF]
Frontiers in NeurologyObjectivesOur study aims to develop a stroke risk prediction model by multiple machine learning algorithms and optimize the model as a stroke risk prediction tool.MethodsThis retrospective multicenter study derived the original dataset from a high ...
Qixuan Lu +5 more
doaj +2 more sources
Attention-based random forest and contamination model
Neural Networks, 2022 A new approach called ABRF (the attention-based random forest) and its modifications for applying the attention mechanism to the random forest (RF) for regression and classification are proposed. The main idea behind the proposed ABRF models is to assign attention weights with trainable parameters to decision trees in a specific way. The weights depend
Lev V. Utkin, Andrei V. Konstantinov
openaire +6 more sources
Model-based random forests for ordinal regression [PDF]
The International Journal of Biostatistics, 2020 Abstract We study and compare several variants of random forests tailored to prognostic models for ordinal outcomes. Models of the conditional odds function are employed to understand the various random forest flavours. Existing random forest variants for ordinal outcomes, such as Ordinal Forests and Conditional Inference Forests, are
Buri, Muriel, Hothorn, Torsten
openaire +6 more sources
An ensemble random forest model for seismic energy forecasting [PDF]
Natural Hazards and Earth System SciencesSeismic energy forecasting is critical for hazard preparedness, but current models have limits in accurately predicting seismic energy changes. This paper fills that gap by introducing a novel ensemble-based random forest framework for seismic energy ...
S. S. Shukla +4 more
doaj +3 more sources
Three-Branch Random Forest Intrusion Detection Model
Mathematics, 2022 Network intrusion detection has the problems of large amounts of data, numerous attributes, and different levels of importance for each attribute in detection.
Chunying Zhang +4 more
doaj +1 more source
An Incident Detection Model Using Random Forest Classifier
Smart Cities, 2023 Traffic incidents have adverse effects on traffic operations, safety, and the economy. Efficient Automatic Incident Detection (AID) systems are crucial for timely and accurate incident detection. This paper develops a realistic AID model using the Random
Osama ElSahly, Akmal Abdelfatah
doaj +1 more source
Credit Scoring Model for Farmers using Random Forest
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023 One of the problems faced by farmers in Indonesia is capital. Based on Indonesian Central Statistics Agency survey results, the number of farmers who borrow capital from formal institutions such as banks is still small.
Kharida Aulia Bahri +2 more
doaj +1 more source
Herbicide resistance prediction: a mechanistic model vs a random forest model
Julius-Kühn-Archiv, 2022 Herbicide Resistance is a major issue in weed control. Prediction tools can help to detect herbicide resistance development in early stages and enable farmers to take countermeasures. These tools can be simulation models combining population dynamics and
Lepke, Janine +3 more
doaj +1 more source
RANDOM FOREST MODEL TO PREDICT THE HEIGHT OF EUCALYPTUS
Engenharia Agrícola, 2022 Eucalyptus (Eucalyptus urograndis) production has significantly advanced over the past few years in Brazil, especially with regard to acreage and productivity. Machine learning has made significant advances in most varied fields of agrarian sciences.
Elizeu de S. Lima +4 more
doaj +1 more source