CKM-CT: Comprehensible knowledge model creation for cancer treatment decision making
Background: A wealth of clinical data exists in clinical documents in the form of electronic health records (EHRs). This data can be used for developing knowledge-based recommendation systems that can assist clinicians in clinical decision making and education. One of the big hurdles in developing such systems is the lack of automated mechanisms for knowledge acquisition to enable and educate clinicians in informed decision making. Materials and Methods: An automated knowledge acquisition methodology with a comprehensible knowledge model for cancer treatment (CKM-CT) is proposed.
Source: Computers in Biology and Medicine - Category: Bioinformatics Authors: Muhammad Afzal, Maqbool Hussain, Wajahat Ali Khan, Taqdir Ali, Sungyoung Lee, Eui-Nam Huh, Hafiz Farooq Ahmad, Arif Jamshed, Hassan Iqbal, Muhammad Irfan, Manzar Abbas Source Type: research
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