Early-Stage Detection of Ovarian Cancer Based on Clinical Data Using Machine Learning Approaches.

Ahamad, Md Martuza; Aktar, Sakifa; Uddin, Md Jamal; Rahman, Tasnia; Alyami, Salem A; Al-Ashhab, Samer; Akhdar, Hanan Fawaz; Azad, Akm; Moni, Mohammad Ali

Ahamad, Md Martuza; Aktar, Sakifa; Uddin, Md Jamal; Rahman, Tasnia; Alyami, Salem A; Al-Ashhab, Samer; Akhdar, Hanan Fawaz; Azad, Akm; Moni, Mohammad Ali.

Afiliação

Ahamad MM; Department of Computer Science and Engineering, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj 8100, Bangladesh.
Aktar S; Department of Computer Science and Engineering, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj 8100, Bangladesh.
Uddin MJ; Department of Computer Science and Engineering, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj 8100, Bangladesh.
Rahman T; Department of Computer Science and Engineering, Rajshahi University of Engineering and Technology, Rajshahi 6200, Bangladesh.
Alyami SA; Department of Mathematics and Statistics, Faculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 13318, Saudi Arabia.
Al-Ashhab S; Department of Mathematics and Statistics, Faculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 13318, Saudi Arabia.
Akhdar HF; Department of Physics, Faculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 13318, Saudi Arabia.
Azad A; Faculty of Science, Engineering & Technology, Swinburne University of Technology, Sydney 2150, Australia.
Moni MA; ProCan®, Children's Medical Research Institute, Faculty of Medicine and Health, The University of Sydney, Westmead, NSW 2145, Australia.