000			01402nam a22001457a 4500
008			221128b ||||| |||| 00| 0 eng d
100			_aAYODELE OLUWATOBI OLUWANIFEMI _99740
245			_aDEVELOPMENT OF A PREDICTIVE SYSTEM FOR PREDICTING PREGNANCY COMPLICATIONS IN WOMEN USING MACHINE LEARNING ALGORITHMS
250			_aDr. (Mrs.) Chinwe P. Igiri
260			_aIbafo _bComputer Science and Mathematics _c2022
300			_axi,; 43p.
520			_aThis study is aimed at the application of predicting pregnancy complication with the use of different machine algorithms. The study achieved this by eliciting knowledge on the variables, collecting relevant data, formulating the classification model, simulating the model. The use of different articles/studies were used as a guiding tools in the means of gathering the necessary data and features needed. The result of the study showed that out 11 variables, 7 variables were associated with the classification of predicting pregnancy complications. The result also identified a number of variables which had missing values from the data collected. The simulation showed that the higher the proportion of dataset used for training then the higher performance of the model on the testing dataset. So using 90% of the dataset for training and 10% for dataset for testing showed the highest performance.
650			_aComputer Science _91105
942			_cTHS
999			_c7080 _d7080