DEVELOPMENT OF A PREDICTIVE SYSTEM FOR PREDICTING PREGNANCY COMPLICATIONS IN WOMEN USING MACHINE LEARNING ALGORITHMS

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DC Field	Value	Language
dc.contributor.author	AYODELE, OLUWATOBI OLUWANIFEMI	-
dc.date.accessioned	2022-11-28T15:09:00Z	-
dc.date.available	2022-11-28T15:09:00Z	-
dc.date.issued	2022	-
dc.identifier.citation	AYODELE OLUWATOBI OLUWANIFEMI (2022). DEVELOPMENT OF A PREDICTIVE SYSTEM FOR PREDICTING PREGNANCY COMPLICATIONS IN WOMEN USING MACHINE LEARNING ALGORITHMS	en_US
dc.identifier.other	18010301063	-
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/1077	-
dc.description.abstract	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.	en_US
dc.language.iso	en	en_US
dc.publisher	Mountain Top University	en_US
dc.title	DEVELOPMENT OF A PREDICTIVE SYSTEM FOR PREDICTING PREGNANCY COMPLICATIONS IN WOMEN USING MACHINE LEARNING ALGORITHMS	en_US
dc.type	Other	en_US
Appears in Collections:	Computer Science

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