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Fetal Risk Prediction Through Different Supervised Machine Learning Techniques

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dc.contributor.author Hassan, Meherab
dc.date.accessioned 2022-07-30T05:54:03Z
dc.date.available 2022-07-30T05:54:03Z
dc.date.issued 2022-01-13
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/8348
dc.description.abstract This thesis report consists of five sections. The first section is just the introductory part. In this section a brief introduction about the topic of the research, it’s socio economic viewpoints and overall summary is shown. In the next section the Literature review will be summarized to give a detail about the works findings and problems or limitations of the previous researches will be shown. Then the report will show the modeling part of the research, that will be the core part of the report because details about the data set on which we are working on and the model fitting analytical description and even the description and orientation of different machine learning models used in this topic will be discussed. Later on the results and the outcome of this research will be discussed in the result and conclusion section. It will be the portion of this report where most of the numbers, statistical diagram and even the values will be shown. The outcome will be described and the last part will consist of the discussion and limitation of my outcome and future contribution of the research i.e in the conclusion and recommendation portion. After these five chapters reference of this report will be given at the end of the report. en_US
dc.language.iso en_US en_US
dc.publisher ©Daffodil International University en_US
dc.subject Machine learning en_US
dc.title Fetal Risk Prediction Through Different Supervised Machine Learning Techniques en_US
dc.type Other en_US


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