Building a Predictive Model for the Diagnosis and Infertility Treatment-Reference-Cited by-同舟云学术

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Building a Predictive Model for the Diagnosis and Infertility Treatment

Published:2022-11-11 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)
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Author:

Belov Viktor M.¹,Purgina Marina V.²,Vostrikov Viacheslav V.³,Chudinov Igor A.⁴

Affiliation:

1. Novosibirsk State Technical University,Information Security Dept.,Novosibirsk,Russian Federation

2. Novosibirsk State University of Economics and Management,Information Technology Dept.,Novosibirsk,Russian Federation

3. Altai State Medical University,Obstetrics and Gynecology Dept.,Novosibirsk,Russian Federation

4. Novosibirsk State Technical University,Computing Technology Dept.,Novosibirsk,Russian Federation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10016894/10016776/10017045.pdf?arnumber=10017045

Reference15 articles.

1. Prediction models in reproductive medicine: a critical appraisal†

2. Translating Clinical Research into Clinical Practice: Impact of Using Prediction Rules To Make Decisions

3. Predicting the chances of a live birth after one or more complete cycles of in vitro fertilization: population based study of linked cycle data from 113 873 women. 2016;mclernon;BMJ,0

4. Do clinical prediction models improve concordance of treatment decisions in reproductive medicine?

5. Individualized decision-making in IVF: calculating the chances of pregnancy

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