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Logistic Models

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Hybrid feature selection-based machine learning Classification system for the prediction of injury severity in single and multiple-vehicle accidents.

PloS one Feb 2, 2022
To undertake a reliable analysis of injury severity in road traffic accidents, a complete understanding of important attributes is essential. As a result of the shift from traditional statistical parametric procedures to computer-aided methods, machi...
ROC Curve Logistic Models Humans Area Under Curve Bayes Theorem Machine Learning Severity of Illness Index Accidents, Traffic Pakistan Wounds and Injuries
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Design of Financial Management Model Using the Forward Neural Network Based on Particle Swarm Optimization Algorithm.

Computational intelligence and neuroscience Jan 30, 2022
The financial crisis of listed companies will bring huge losses to investors, so it is very important to establish a financial early warning model for investors and other stakeholders. The forward neural network model of particle swarm optimization i...
Neural Networks, Computer Financial Management Algorithms Logistic Models
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Review on Epileptic Seizure Prediction: Machine Learning and Deep Learning Approaches.

Computational and mathematical methods in medicine Jan 20, 2022
Epileptic seizures occur due to brain abnormalities that can indirectly affect patient's health. It occurs abruptly without any symptoms and thus increases the mortality rate of humans. Almost 1% of world's population suffers from epileptic seizures....
Databases, Factual Epilepsy Logistic Models Diagnosis, Computer-Assisted Neural Networks, Computer Seizures Humans Deep Learning Support Vector Machine Signal Processing, Computer-Assisted Machine Learning Computational Biology Bayes Theorem Signal-To-Noise Ratio Algorithms Electroencephalography
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Machine learning for prediction of euploidy in human embryos: in search of the best-performing model and predictive features.

Fertility and sterility Jan 19, 2022
OBJECTIVE: To assess the best-performing machine learning (ML) model and features to predict euploidy in human embryos.
Cohort Studies Logistic Models Bayes Theorem Humans Machine Learning Retrospective Studies
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Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model.

Scientific reports Jan 19, 2022
Blood cancer has been a growing concern during the last decade and requires early diagnosis to start proper treatment. The diagnosis process is costly and time-consuming involving medical experts and several tests. Thus, an automatic diagnosis system...
Hematologic Neoplasms Logistic Models Supervised Machine Learning Microarray Analysis Leukemia Humans
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Modeling risk of Sclerotinia sclerotiorum-induced disease development on canola and dry bean using machine learning algorithms.

Scientific reports Jan 17, 2022
Diseases caused by the fungus Sclerotinia sclerotiorum are managed mainly through fungicide applications in canola and dry bean. Accurate estimation of the risk of disease development on these crops could help farmers make spraying decisions. Five ma...
Neural Networks, Computer Machine Learning Temperature Ascomycota Brassica napus Fungicides, Industrial Risk Assessment Agriculture Fabaceae Logistic Models Crops, Agricultural Plant Diseases
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Machine learning prediction model of acute kidney injury after percutaneous coronary intervention.

Scientific reports Jan 14, 2022
Acute kidney injury (AKI) after percutaneous coronary intervention (PCI) is associated with a significant risk of morbidity and mortality. The traditional risk model provided by the National Cardiovascular Data Registry (NCDR) is useful for predictin...
Area Under Curve Registries Percutaneous Coronary Intervention Japan Risk Middle Aged Postoperative Complications Humans Logistic Models Models, Statistical Machine Learning Forecasting Aged Research Design Aged, 80 and over Acute Kidney Injury Male Female
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PRCTC: a machine learning model for prediction of response to corticosteroid therapy in COVID-19 patients.

Aging Jan 12, 2022
Corticosteroid has been proved to be one of the few effective treatments for COVID-19 patients. However, not all the patients were suitable for corticosteroid therapy. In this study, we aimed to propose a machine learning model to forecast the respon...
Female SARS-CoV-2 Aged Male COVID-19 Algorithms Retrospective Studies COVID-19 Drug Treatment Adrenal Cortex Hormones Middle Aged China Logistic Models Treatment Outcome Humans Neural Networks, Computer Machine Learning
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Using Machine Learning to Identify Metabolomic Signatures of Pediatric Chronic Kidney Disease Etiology.

Journal of the American Society of Nephrology : JASN Jan 11, 2022
BACKGROUND: Untargeted plasma metabolomic profiling combined with machine learning (ML) may lead to discovery of metabolic profiles that inform our understanding of pediatric CKD causes. We sought to identify metabolomic signatures in pediatric CKD b...
Humans Machine Learning Glomerulosclerosis, Focal Segmental Infant Child Prospective Studies Adolescent Support Vector Machine Kidney Female Cohort Studies Metabolomics Logistic Models Male Child, Preschool Metabolome Renal Insufficiency, Chronic Metabolic Networks and Pathways
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Machine learning for emerging infectious disease field responses.

Scientific reports Jan 10, 2022
Emerging infectious diseases (EIDs), including the latest COVID-19 pandemic, have emerged and raised global public health crises in recent decades. Without existing protective immunity, an EID may spread rapidly and cause mass casualties in a very sh...
COVID-19 SARS-CoV-2 Risk Factors Hospitalization Humans Models, Theoretical Machine Learning Public Health International Classification of Diseases Pandemics Preventive Medicine Severity of Illness Index Communicable Diseases, Emerging Hospital Mortality Logistic Models
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