Amanote Research

Amanote Research

    RegisterSign In

Committee Machine Networks to Diagnose Cardiovascular Diseases

Southeast Europe Journal of Soft Computing
doi 10.21533/scjournal.v2i1.49
Full Text
Open PDF
Abstract

Available in full text

Date

March 30, 2013

Authors
Mehmet Can
Publisher

International University of Sarajevo


Related search

The Blood; How to Examine and Diagnose Its Diseases

Nature
Multidisciplinary
1898English

Using Iron Oxide Nanoparticles to Diagnose CNS Inflammatory Diseases and PCNSL

Neurology
Neurology
2013English

Cardiovascular Diseases

Postgraduate Medical Journal
Medicine
1939English

Cardiovascular Diseases

Free Radical Biology and Medicine
BiochemistryPhysiology
2009English

Desirability Improvement of Committee Machine to Solve Multiple Response Optimization Problems

Advances in Artificial Neural Systems
2013English

Magnesium Deficiency and Cardiovascular Diseases: Time to Act

Rational Pharmacotherapy in Cardiology
Cardiovascular MedicinePharmacologyCardiology
2014English

The BMJ Clinical Decision Support Initiative: Online Training to Detect and Diagnose Infectious Diseases

International Journal of Infectious Diseases
MedicineInfectious DiseasesMicrobiology
2019English

Arsenic and Cardiovascular Diseases

E3S Web of Conferences
EarthEnergyPlanetary SciencesEnvironmental Science
2013English

Atlas of Cardiovascular Diseases

American Journal of Clinical Pathology
MedicineForensic MedicinePathology
1948English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy