A machine learning‐based risk scoring system for infertility considering different age groups-Reference-Cited by-同舟云学术

A machine learning‐based risk scoring system for infertility considering different age groups

Published:2020-12-21 Issue:3 Volume:36 Page:1331-1344
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J Intell Syst

Author:

Liao ShuJie¹^ORCID,Jin Lei¹^ORCID,Dai Wan‐Qiang²^ORCID,Huang Ge²^ORCID,Pan Wulin²^ORCID,Hu Cheng²^ORCID,Pan Wei³^ORCID

Affiliation:

1. Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei China

2. School of Economic and Management Wuhan University Wuhan China

3. School of Applied Economics Renmin University of China Beijing China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22344

Reference35 articles.

1. Infertility around the globe: new thinking on gender, reproductive technologies and global movements in the 21st century

2. Centers for Disease Control and Prevention.Key Statistics from the National Survey of Family Growth.https://www.cdc.gov/nchs/nsfg/key_statistics/i_2015-2017.htm#infertility. Accessed November 1 2020.

3. Is early initiation of infertility treatment justified in women over the age of 35 years?

4. Adjuvant treatment strategies in ovarian stimulation for poor responders undergoing IVF: a systematic review and network meta-analysis

5. Intrauterine insemination with ovarian stimulation versus expectant management for unexplained infertility (TUI): a pragmatic, open-label, randomised, controlled, two-centre trial

Cited by 7 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. Monogram and Heat Map on Magnetic Resonance Imaging to Evaluate the Recommendation for Myomectomy in Patients with Infertility: A Pilot Study;Reproductive Sciences;2024-08-29

2. An Adaptive Combined Learning of Grading System for Early Stage Emerging Diseases;International Journal of Intelligent Systems;2024-03-23

3. Neural network systems with an integrated coefficient of variation-based feature selection for stock price and trend prediction;Expert Systems with Applications;2023-06

4. Stroke prevention in rural residents: development of a simplified risk assessment tool with artificial intelligence;Neurological Sciences;2023-01-19

5. A hybrid adaptive approach for instance transfer learning with dynamic and imbalanced data;International Journal of Intelligent Systems;2022-09-02