Diabetes prediction in healthcare systems using machine learning algorithms on Hadoop cluster

Health care systems are merely designed to meet the needs of increasing population globally. People around the globe are affected with different types of deadliest diseases. Among the different types of commonly existing diseases, diabetes is a major cause of blindness, kidney failure, heart attacks...

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Vydané v:	Cluster computing Ročník 22; číslo Suppl 1; s. 1 - 9
Hlavní autori:	Yuvaraj, N., SriPreethaa, K. R.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.01.2019 Springer Nature B.V
Predmet:	Accuracy Algorithms Big Data Chronic illnesses Classification Cloud computing Clusters Computer Communication Networks Computer networks Computer Science Data mining Datasets Decision trees Diabetes Disease prevention Distributed processing Feature selection Glucose Health care Health care policy Health services Insulin Machine learning Operating Systems Patients Processor Architectures Signs and symptoms United States > US Hadoop clusters Predictive analysis Machine learning algorithms Healthcare systems Cluster computing
ISSN:	1386-7857, 1573-7543
On-line prístup:	Získať plný text
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