Predicting obesity: a comparative analysis of machine learning models incorporating different features

Predicting obesity: a comparative analysis of machine learning models incorporating different features

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Rahman, Md.Sakibur, Ahmed, Kaosar, Nafis, Tanvir Alam, Hossain, Md. Ridwan, Majumder, Swapnil
Άλλοι συγγραφείς:	Sadeque, Farig Yousuf
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2023
Θέματα:	Supervision Unsustainable lifestyle AI system Self monitoring Pre-existing diseases Machine learning Artificial intelligence
Διαθέσιμο Online:	http://hdl.handle.net/10361/21929

Παρόμοια τεκμήρια

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Impact of Lifestyle on the Disease Progression of Parkinson’s
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Marketing and distribution strategies of ACI Logistics Limited (SHWAPNO- lifestyle department)
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Effective feature selection for real-time stock trading in variable time-frames and multi criteria decision theory based Efficient stock portfolio management
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Teachers' perceptions about child-friendly and interactive teaching-learning in early primary grades of Government Primary Schools (GPS)
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Prediction and detection in change of cognitive load for VIP’s by a machine learning approach
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Early Music

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