Determination of Women Iron Deficiency Anemia Using Neural Networks-Reference-Cited by-同舟云学术

Determination of Women Iron Deficiency Anemia Using Neural Networks

Published:2011-09-01 Issue:5 Volume:36 Page:2941-2945
ISSN:0148-5598
Container-title:Journal of Medical Systems
language:en
Short-container-title:J Med Syst

Author:

Yılmaz Ziynet,Bozkurt M. Recep

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1007/s10916-011-9772-4.pdf

Reference27 articles.

1. Benoist, B., McLean, E., Egli, I., and Cogswell, M., Worldwide prevalence of anemia 1993–2005:WHO global database on anemia. WHO Geneva.:1–2, 2008.

2. Royston, E., The prevalence of nutritional anemia in women in developing countries; critical review of available information. World Health Stat.:94–115, 1982.

3. World Health Organization, Nutritional anaemias: Report of a WHO Scientific Group. WHO Technical Reports Series 405. World Health Organization, Geneva, 1968.

4. Özaslan, E., and Delibaşı, T., TUSEM book. TUSEM Publisher:46–48, 2008.

5. Öztemel, E., Artificial neural networks. Papatya Publishing: 2003.

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial intelligence in routine blood tests;Frontiers in Medical Engineering;2024-03-25

2. Classification of anemia using Harris hawks optimization method and multivariate adaptive regression spline;Neural Computing and Applications;2024-01-10

3. A new computer‐aided diagnostic method for classifying anaemia disease: Hybrid use of Tree Bagger and metaheuristics;Expert Systems;2023-12-28

4. Using artificial intelligence to improve body iron quantification: A scoping review;Blood Reviews;2023-11

5. Prediction of anemia with a particle swarm optimization-based approach;An International Journal of Optimization and Control: Theories & Applications (IJOCTA);2023-07-28