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Comprehensive analysis of artificial intelligence techniques for gynaecological cancer: symptoms identification, prognosis and prediction.

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Title: Comprehensive analysis of artificial intelligence techniques for gynaecological cancer: symptoms identification, prognosis and prediction.
Authors: Gandotra, Sonam1, Kumar, Yogesh2, Yogesh.arora10744@gmail.com, Modi, Nandini2, Choi, Jaeyoung3, jychoi19@gachon.ac.kr, Shafi, Jana4, Ijaz, Muhammad Fazal5, mfazal@mit.edu.au
Source: Artificial Intelligence Review; Aug2024, Vol. 57 Issue 8, p1-44, 44p
Database: Applied Science & Technology Source
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  Data: Comprehensive analysis of artificial intelligence techniques for gynaecological cancer: symptoms identification, prognosis and prediction.
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  Data: <searchLink fieldCode="AU" term="%22Gandotra%2C+Sonam%22">Gandotra, Sonam</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Kumar%2C+Yogesh%22">Kumar, Yogesh</searchLink><relatesTo>2</relatesTo>, <i>Yogesh.arora10744@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Modi%2C+Nandini%22">Modi, Nandini</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Choi%2C+Jaeyoung%22">Choi, Jaeyoung</searchLink><relatesTo>3</relatesTo>, <i>jychoi19@gachon.ac.kr</i><br /><searchLink fieldCode="AU" term="%22Shafi%2C+Jana%22">Shafi, Jana</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AU" term="%22Ijaz%2C+Muhammad+Fazal%22">Ijaz, Muhammad Fazal</searchLink><relatesTo>5</relatesTo>, <i>mfazal@mit.edu.au</i>
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  Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+Review%22">Artificial Intelligence Review</searchLink>; Aug2024, Vol. 57 Issue 8, p1-44, 44p
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        Value: 10.1007/s10462-024-10872-6
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        Text: English
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        PageCount: 44
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      – TitleFull: Comprehensive analysis of artificial intelligence techniques for gynaecological cancer: symptoms identification, prognosis and prediction.
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            – D: 01
              M: 08
              Text: Aug2024
              Type: published
              Y: 2024
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