Amanote Research

Amanote Research

    RegisterSign In

Automatic Covariate Selection in Logistic Models for Chest Pain Diagnosis: A New Approach

Computer Methods and Programs in Biomedicine - Ireland
doi 10.1016/j.cmpb.2007.11.010
Full Text
Open PDF
Abstract

Available in full text

Categories
SoftwareComputer Science ApplicationsHealth Informatics
Date

March 1, 2008

Authors
Robert F. HarrisonR. Lee Kennedy
Publisher

Elsevier BV


Related search

Covariate Selection for Multilevel Models With Missing Data

Stat
UncertaintyStatisticsProbability
2017English

Trade‐offs in Covariate Selection for Species Distribution Models: A Methodological Comparison

Ecography
EvolutionEcologySystematicsBehavior
2019English

Chest Pain and Dyspnea With a Piercing Diagnosis

Chest
CardiologyCritical CareCardiovascular MedicineIntensive Care MedicinePulmonaryRespiratory Medicine
2019English

A Computer-Aided Diagnosis Approach for Emphysema Recognition in Chest Radiography

Medical Engineering and Physics
Biomedical EngineeringBiophysics
2013English

Approach to Children With Chest Pain

Sakarya Medical Journal
2016English

Meta Heuristic Approach for Automatic Forecasting Model Selection

International Journal of Information Systems and Supply Chain Management
Information SystemsManagement Information Systems
2013English

A Hybrid Approach to Automatic IaaS Service Selection

Journal of Cloud Computing
Computer NetworksSoftwareCommunications
2018English

Automatic Systems Diagnosis Without Behavioral Models

2014English

An Automatic Approach for Parameter Selection in Self-Adaptive Tracking

2006English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy