Journal article
Predicting IVF outcome: a proposed web-based system using artificial intelligence
- Abstract:
-
AIM: To propose a functional in vitro fertilization (IVF) prediction model to assist clinicians in tailoring personalized treatment of subfertile couples and improve assisted reproduction outcome. MATERIALS AND METHODS: Construction and evaluation of an enhanced web-based system with a novel Artificial Neural Network (ANN) architecture and conformed input and output parameters according to the clinical and bibliographical standards, driven by a complete data set and "trained" by a network exp...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Bibliographic Details
- Publisher:
- International Institute of Anticancer Research Publisher's website
- Journal:
- In Vivo Journal website
- Volume:
- 30
- Issue:
- 4
- Pages:
- 507-512
- Publication date:
- 2016-07-07
- Acceptance date:
- 2016-04-02
- EISSN:
-
1791-7549
- ISSN:
-
0258-851X
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:633928
- UUID:
-
uuid:1a8dfead-4ca6-4d45-a7d2-3c744c4efa08
- Local pid:
- pubs:633928
- Source identifiers:
-
633928
- Deposit date:
- 2016-08-25
Terms of use
- Copyright holder:
- International Institute of Anticancer Research
- Copyright date:
- 2016
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