[HTML][HTML] A machine learning approach for prediction of pregnancy outcome following IVF treatment

MR Hassan, S Al-Insaif, MI Hossain… - Neural computing and …, 2020 - Springer
Infertility affects one out of seven couples around the world. Therefore, the best possible
management of the in vitro fertilization (IVF) treatment and patient advice is crucial for both …

Machine learning techniques for assisted reproductive technology: A review

K Ranjini, A Suruliandi, SP Raja - Journal of Circuits, Systems and …, 2020 - World Scientific
Infertility is becoming a public health issue in almost all countries. Assisted Reproductive
Technology (ART) is considered as a method of last resort for treating infertility. The …

Balancing assisted reproductive technology dataset for improving the efficiency of incremental classifiers and feature selection techniques

A Suruliandi, K Ranjini, SP Raja - Journal of Circuits, Systems and …, 2021 - World Scientific
Assisted Reproductive Technology (ART) is a set of medical procedures primarily used to
address infertility. Success Rate of ART is very low because it is affected by large number of …

Predicting in vitro fertilization success in the Brazilian public health system: a machine learning approach

N CN Barreto, GZ Castro, RG Pereira… - Medical & Biological …, 2022 - Springer
Infertility has become a global health problem, increasing the number of couples looking for
in vitro fertilization (IVF). Despite advances and technical improvements, some couples …

Dynamic model for assisted reproductive technology outcome prediction

R Kothandaraman, S Andavar, RSP Raj - Brazilian Archives of Biology …, 2021 - SciELO Brasil
Infertility is becoming a growing issue in almost all countries. Assisted Reproductive
Technologies (ART) are recent development in treating infertility that give hope to the …

Prediction of clinical pregnancy outcome after single fresh blastocyst transfer during in vitro fertilization: an ensemble learning perspective

Z Liu, H Zhang, F Xiong, X Huang, S Yu, Q Sun… - Human …, 2024 - Taylor & Francis
To establish a predictive model for clinical pregnancy outcomes following the transfer of a
single fresh blastocyst in vitro fertilization (IVF). 615 patients (492 in training set and 123 in …

Clinical significance of measles and its prediction using data mining techniques: a systematic review

AS Rao, DA D'Mello, R Anand, S Nayak - International Conference on …, 2019 - Springer
Data science techniques used in the past era for data extraction are now being replaced by
data mining methods due to a lot of contemporary trends and challenges. Data mining …

[HTML][HTML] A Hybrid Feature Ranking Algorithm for Assisted Reproductive Technology Outcome Prediction

R Kothandaraman, S Andavar, RSP Raj - Brazilian Archives of Biology …, 2022 - SciELO Brasil
HIGHLIGHTS Proposed a hybrid feature ranking algorithm named VIGAREA The proposed
feature ranking algorithm gives importance to the individual feature as well as interaction …

[PDF][PDF] A Survey on the Machine Learning Techniques used in IVF Treatment to Improve the Success Rate

M Babitha - RTESIT, 2019 - academia.edu
In vitro fertilization (IVF) is one of the widely used assisted reproductive technologies which
help the couple suffering from infertility related issues to have a child. During IVF, an egg is …

Data mining models applied in prediction of IVF success rates: an overview

GS Gowramma, S Nayak, N Cholli - Data Science and Security …, 2021 - Springer
IVF success rates can be increased by the analysis of multiple factors related to the process.
The automated systems which take these multiple factors as input and produce prediction as …