Early diagnosis of chronic obstructive pulmonary disease using different machine learning methods
Chronic Kidney Failure is the medical term for chronic kidney disease. It portrays the moderate disintegration of renal disappointment and how, assuming that constant kidney infection has advanced to a high-level stage, a high volume of fluid and undesirable electrolytes may develop in the body. We...
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Tagungsbericht |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Chronic Kidney Failure is the medical term for chronic kidney disease. It portrays the moderate disintegration of renal disappointment and how, assuming that constant kidney infection has advanced to a high-level stage, a high volume of fluid and undesirable electrolytes may develop in the body. We may see less evidence of chronic renal disease in the early phases. The treatment for chronic kidney disease focuses on slowing down the process of kidney damage. Without a trace of dialysis or kidney migration, persistent renal sickness can advance to the last periods of kidney annihilation, which is inoperable. The focal point of this examination is on early discovery of constant obstructive pneumonia illness utilizing different AI techniques, which are K-Nearest Neighbor, Decision Tree and Bayesian Classifier. |
---|---|
ISSN: | 0094-243X 1551-7616 |
DOI: | 10.1063/5.0170056 |