Table 1 Summarizing the previous studies of predicting ART outcome
Research problem | Dataset | Features | Analytical method | Remarks |
|---|---|---|---|---|
Predicting IVF outcomes | 5275 records | 67 different features | Combination of Decision Tree and Genetic algorithm | Low predictive accuracy with 73% |
Patient-specific predictions of outcome after IUI | 1438 patients who underwent 3375 IUI cycles | 8 features | Logistic regression analysis | A few numbers of features |
Predictive modeling of implantation outcome in IVF | 3898 embryos | 18 features | Naive Bayes, Decision Tree, K Nearest Neighbors, SVM, multilayer perceptron, radial basis function network | A small number of features |
Determine the impact of sperm morphology on the success of IUI | 412 couples with 530 IUI cycles | 12 features | statistical analysis | A few samples studied |
Outcome prediction of IUI based on sperm morphology and progressively motile sperm count | 4251 first IUI cycles of 1166 couples | 9 features | multivariable logistic regression | A few features considered |
Predicting live birth after IVF complete cycle | 113,873 women data | Age and duration of infertility | Logistic regression | A few difference makers considered |
Identifying and choosing the best sperms for ICSI | 219 patients | 13 features | Naive Bayes, SVM, MLP, IBK, K-Star, Random Committee, J48, Random Forest | Small set of patients |
IVF outcome prediction relying on endometrial transcriptions | 25 patients | 20 feature | PCA and HCA clustering | Small number of patients |
Predicting Implantation Outcome of IVF and ICSI | the data of 486 patients | 21 features | SVM, Adaboost, RPART, RF, 1-NN | A few features considered |
Predicting the impact of homologous semen on the success rate of IUI | 556 couples with 1401 IUI cycles | 16 features | Logistic regression | Small dataset |
Assessing the effects of FSH and clomiphene citrate on infertile women with unexplained infertility | 2259 IUI cycles of 684 couples | 6 features | Logistic regression | A few determinative factors studied |
Outcome prediction of ART | 257 infertile couples | 12 features | ANN | Small dataset |
Prediction of implantation after blastocyst transfer in IVF or ICSI | 1052 patients in | 32 features | Random Forest, Multivariate logistic regression model | A small number of features |