Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020)

no code implementations • 23 Aug 2020 • Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi, Dipti Srinivasan, Amir F. Atiya, U. Rajendra Acharya

We have little knowledge about the optimal treatment methods as there are many sources of uncertainty in medical science.

BIG-bench Machine Learning Decision Making

Discovering topic structures of a temporally evolving document corpus

no code implementations • 25 Dec 2015 • Adham Beykikhoshk, Ognjen Arandjelovic, Dinh Phung, Svetha Venkatesh

In this paper we describe a novel framework for the discovery of the topical content of a data corpus, and the tracking of its complex structural changes across the temporal dimension.

Hierarchical Dirichlet process for tracking complex topical structure evolution and its application to autism research literature

no code implementations • 8 Feb 2015 • Adham Beykikhoshk, Ognjen Arandjelovic, Dinh Phung, Svetha Venkatesh

In this paper we describe a novel framework for the discovery of the topical content of a data corpus, and the tracking of its complex structural changes across the temporal dimension.