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Peer-reviewedCC BY-NCInternational journal of reproductive biomedicine

Prediction of chemical miscarriage in assisted reproductive technology pregnancies using machine learning: A developmental study

  • Mohadese Zare Ebrahimabad1
  • Mahdi Hashemzadeh1
  • Nasim Tabibnejad2
  1. 1Faculty of Information Technology and Computer Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran.
  2. 2Research and Clinical Center for Infertility, Yazd Reproductive Sciences Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
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Cite

BibTeXRIS
BibTeX
@article{ebrahimabad2026prediction,
  title = {{Prediction of chemical miscarriage in assisted reproductive technology pregnancies using machine learning: A developmental study}},
  author = {Mohadese Zare Ebrahimabad and Mahdi Hashemzadeh and Nasim Tabibnejad},
  journal = {International journal of reproductive biomedicine},
  year = {2026},
  month = aug,
  url = {https://europepmc.org/article/PMC/PMC13655629},
  note = {CC BY-NC},
}
RIS
TY  - JOUR
TI  - Prediction of chemical miscarriage in assisted reproductive technology pregnancies using machine learning: A developmental study
AU  - Mohadese Zare Ebrahimabad
AU  - Mahdi Hashemzadeh
AU  - Nasim Tabibnejad
PY  - 2026
DA  - 2026/08/01
JO  - International journal of reproductive biomedicine
UR  - https://europepmc.org/article/PMC/PMC13655629
SN  - 2476-4108
SN  - 2476-3772
ER  -