External Links

Cite Key

Statistics

  • References: 0
  • Cited by: 0
  • Reviews: 0
  • Bibliographies: 0

PDF

Researchr

Researchr is a web site for finding, collecting, sharing, and reviewing scientific publications, for researchers by researchers.

Sign up for an account to create a profile with publication list, tag and review your related work, and share bibliographies with your co-authors.

Data Mining to Predict Early Stage Chronic Kidney Disease

Ana Pinto, Diana Ferreira, Cristiana Neto, António Abelha, José Machado 0001. Data Mining to Predict Early Stage Chronic Kidney Disease. In Elhadi M. Shakshuki, Ansar-Ul-Haque Yasar, editors, The 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020) / The 10th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2020) / Affiliated Workshops, Madeira, Portugal, November 2-5, 2020. Volume 177 of Procedia Computer Science, pages 562-567, Elsevier, 2020. [doi]

Authors

Ana Pinto

This author has not been identified. Look up 'Ana Pinto' in Google

Diana Ferreira

This author has not been identified. Look up 'Diana Ferreira' in Google

Cristiana Neto

This author has not been identified. Look up 'Cristiana Neto' in Google

António Abelha

This author has not been identified. Look up 'António Abelha' in Google

José Machado 0001

This author has not been identified. Look up 'José Machado 0001' in Google
runs on