Prediction for Pulmonary Disease Based on Diagnostic Reciepes and Classification

Journal Title: International Journal of Science and Research (IJSR) - Year 2013, Vol 2, Issue 9

Abstract

In this research work we have developed a strategy in which the various parameters that influence the occurrence of pulmonary disease have been gathered from survey of doctors who specialize in diagnoses of pulmonary disease and diagnostic recipes involving if the else rules were built and given labels, which were used as target for machine learning algorithms [Logistic , SVM, RBF, Na

Authors and Affiliations

Keywords

Related Articles

Study of Corelation Between Ultrasonographically Observed Grade 3 Placenta at 36 Weeks Gestation and Fetal and Maternal Outcomes

Current ultrasound assessment of placental calcification relies on Grannum grading. The ultrasonographic appearance of grade III placental maturation, if it occurs before 36 weeks, may signify placental dysfunction and i...

Hybridization of Particle Swarm Optimization - A Survey

Hybridization is the burning topic now-a-days. Therefore, extensive studies are taking place on this topic. It leads to more efficiency and robustness of the hybridized algorithms. Hybrid algorithms can be used to solve...

Sonographic Assessment of Pelvic Pathology among Post-Menopausal Sudanese Women

Sonographic Assessment of Pelvic Pathology among Post-Menopausal Sudanese Women

Artificial Neural Network Based Speed and Torque Control of Three Phase Induction Motor

Direct Torque Control (DTC) of Induction Motor drive has quick torque response without complex orientation transformation and inner loop current control. DTC has some drawbacks, such as the torque and flux ripple. The co...

Effect of Ultra High Frequency Radiation from 2G & 3G Cell Phone on Histology of Chick Embryo Retina – A Comparative Study

"The mobile phones have become popular due to faster communication, convenience and lower costs. The electromagnetic fields emitted by them are absorbed into the user’s body. The scientific reports on the possible health...

Download PDF file
  • EP ID EP337550
  • DOI -
  • Views 54
  • Downloads 0

How To Cite

(2013). Prediction for Pulmonary Disease Based on Diagnostic Reciepes and Classification. International Journal of Science and Research (IJSR), 2(9), -. https://europub.co.uk/articles/-A-337550