Logistic regression and artificial neural network classification models: a methodology review.
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Artificial neural networks for diagnosis and survival prediction in colon cancerTransforming Clinical Data into Actionable Prognosis Models: Machine-Learning Framework and Field-Deployable App to Predict Outcome of Ebola PatientsEmpirical estimation of the grades of hearing impairment among industrial workers based on new artificial neural networks and classical regression methods.Intelligent detection of cracks in metallic surfaces using a waveguide sensor loaded with metamaterial elements.Rehabilitation exercise assessment using inertial sensors: a cross-sectional analytical study.Predicting long-term outcome after traumatic brain injury using repeated measurements of Glasgow Coma Scale and data mining methods.A comparative analysis of predictive models of morbidity in intensive care unit after cardiac surgery - part I: model planning.A comparative analysis of predictive models of morbidity in intensive care unit after cardiac surgery - part II: an illustrative example.Improving Gastric Cancer Outcome Prediction Using Single Time-Point Artificial Neural Network Models.A bootstrap approach for assessing the uncertainty of outcome probabilities when using a scoring systemDevelopment and performance of a diagnostic/prognostic scoring system for breakthrough painPredicting hospital-acquired infections by scoring system with simple parametersScreening for prediabetes using machine learning models.Utility-aware screening with clique-oriented prioritization.Are tobacco dependence and withdrawal related amongst heavy smokers? Relevance to conceptualizations of dependence.Evaluation of machine learning classifiers in keratoconus detection from orbscan II examinations.Pancreatectomy risk calculator: an ACS-NSQIP resourceA clinical adverse drug reaction prediction model for patients with chagas disease treated with benznidazoleHip fracture risk assessment: artificial neural network outperforms conditional logistic regression in an age- and sex-matched case control study.Patient-specific models for predicting the outcomes of patients with community acquired pneumonia.Utility of sepsis biomarkers and the infection probability score to discriminate sepsis and systemic inflammatory response syndrome in standard care patientsLung texture in serial thoracic computed tomography scans: correlation of radiomics-based features with radiation therapy dose and radiation pneumonitis development.Examining the effect of maternal obesity on outcome of labor induction in patients with preeclampsiaTime series analysis as input for clinical predictive modeling: modeling cardiac arrest in a pediatric ICULarge-Scale Examination of Spatio-Temporal Patterns of Drifting Fish Aggregating Devices (dFADs) from Tropical Tuna Fisheries of the Indian and Atlantic Oceans.Predictive value of specific ultrasound findings when used as a screening test for abnormalities on VCUGPredicting reintubation, prolonged mechanical ventilation and death in post-coronary artery bypass graft surgery: a comparison between artificial neural networks and logistic regression models.Network or regression-based methods for disease discrimination: a comparison study.Integrating network, sequence and functional features using machine learning approaches towards identification of novel Alzheimer genesA Comparison of Logistic Regression Model and Artificial Neural Networks in Predicting of Student's Academic Failure.Can machine-learning improve cardiovascular risk prediction using routine clinical data?Prediction of unwanted pregnancies using logistic regression, probit regression and discriminant analysisDiscretization of continuous features in clinical datasets.Predictors of medication adherence in elderly patients with chronic diseases using support vector machine modelsSystems Analysis of Immunity to Influenza Vaccination across Multiple Years and in Diverse Populations Reveals Shared Molecular SignaturesArtificial neural networks in mammography interpretation and diagnostic decision makingInformatics in radiology: comparison of logistic regression and artificial neural network models in breast cancer risk estimation.Exploiting machine learning for predicting skeletal-related events in cancer patients with bone metastases.Discrete classification technique applied to TV advertisements liking recognition system based on low-cost EEG headsets.A comprehensive methodology for determining the most informative mammographic features.
P2860
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P2860
Logistic regression and artificial neural network classification models: a methodology review.
description
2002 nî lūn-bûn
@nan
2002 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2002 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2002年の論文
@ja
2002年論文
@yue
2002年論文
@zh-hant
2002年論文
@zh-hk
2002年論文
@zh-mo
2002年論文
@zh-tw
2002年论文
@wuu
name
Logistic regression and artifi ...... models: a methodology review.
@ast
Logistic regression and artifi ...... models: a methodology review.
@en
type
label
Logistic regression and artifi ...... models: a methodology review.
@ast
Logistic regression and artifi ...... models: a methodology review.
@en
prefLabel
Logistic regression and artifi ...... models: a methodology review.
@ast
Logistic regression and artifi ...... models: a methodology review.
@en
P1476
Logistic regression and artifi ...... models: a methodology review.
@en
P2093
Stephan Dreiseitl
P304
P356
10.1016/S1532-0464(03)00034-0
P577
2002-10-01T00:00:00Z