Machine Learning Techniques for Predicting Ovarian Cancer in its Early Stages Using Biomarkers-Reference-Cited by-同舟云学术

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Machine Learning Techniques for Predicting Ovarian Cancer in its Early Stages Using Biomarkers

Published:2024-05-02 Issue: Volume:4 Page:1257-1262
ISSN:
Container-title:2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT)
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Author:

Alam Mir Jafikul¹,Anawar Jannat-E¹,Mohi Uddin Khandaker Mohammad²,Rahman Md. Hasibur¹,Rahman Md. Mahbubur³

Affiliation:

1. Dhaka International University,Dept. of Computer Science and Engineering,Dhaka,Bangladesh

2. Southeast University,Dept. of Computer Science and Engineering,Dhaka,Bangladesh

3. Bangladesh University of Business and Technology,Dept. of Computer Science and Engineering,Dhaka,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10534252/10534311/10534382.pdf?arnumber=10534382

Reference22 articles.

1. General population screening for ovarian cancer

2. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

3. Ovarian Cancer

4. Frequency of Symptoms of Ovarian Cancer in Women Presenting to Primary Care Clinics

5. Symptoms of Ovarian Cancer

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1. Smart Farming: Leveraging IoT and Deep Learning for Sustainable Tomato Cultivation and Pest Management;Crop Design;2024-09

2. SkinMultiNet: Advancements in Skin Cancer Prediction Using Deep Learning with Web Interface;Biomedical Materials & Devices;2024-06-25

3. Enhancing Ovarian Tumor Dataset Analysis Through Data Mining Preprocessing Techniques;IEEE Access;2024

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