Comparative study of machine learning approaches integrated with genetic algorithm for IVF success prediction

Shirin Dehghan; Reza Rabiei; Hamid Choobineh; Keivan Maghooli; Mozhdeh Nazari; Mojtaba Vahidi-Asl

doi:10.1371/journal.pone.0310829

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Open Access

Peer-reviewed

Research Article

Comparative study of machine learning approaches integrated with genetic algorithm for IVF success prediction

Shirin Dehghan ,

Contributed equally to this work with: Shirin Dehghan, Reza Rabiei, Hamid Choobineh

Roles Conceptualization, Methodology, Writing – original draft

Affiliation Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
⨯
Reza Rabiei ,

Contributed equally to this work with: Shirin Dehghan, Reza Rabiei, Hamid Choobineh

Roles Methodology, Supervision, Writing – review & editing

* E-mail: R.Rabiei@sbmu.ac.ir (RR); hchobineh@tums.ac.ir (HC)

Affiliation Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran

https://orcid.org/0000-0003-0771-7306

⨯
Hamid Choobineh ,

Contributed equally to this work with: Shirin Dehghan, Reza Rabiei, Hamid Choobineh

Roles Resources, Supervision, Writing – review & editing

* E-mail: R.Rabiei@sbmu.ac.ir (RR); hchobineh@tums.ac.ir (HC)

Affiliation Department of Laboratory Sciences, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
⨯
Keivan Maghooli ,

Roles Formal analysis, Investigation

¶‡ KM, MN and MVA also contributed equally to this work.

Affiliation Department of Biomedical Engineering Science and Research Branch Islamic Azad University, Tehran, Iran
⨯
Mozhdeh Nazari ,

Roles Software, Visualization

¶‡ KM, MN and MVA also contributed equally to this work.

Affiliation Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
⨯
Mojtaba Vahidi-Asl

Roles Software

¶‡ KM, MN and MVA also contributed equally to this work.

Affiliation Faculty of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran
⨯

Comparative study of machine learning approaches integrated with genetic algorithm for IVF success prediction

Shirin Dehghan,
Reza Rabiei,
Hamid Choobineh,
Keivan Maghooli,
Mozhdeh Nazari,
Mojtaba Vahidi-Asl

Published: October 11, 2024
https://doi.org/10.1371/journal.pone.0310829

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