|TEXT MINING FROM BIOMEDICAL AND CLINICAL TEXTS
Electronic Health Records (EHRs) are an important source of information that till now is only partially explored. This happens because a substantial part of EHRs is in the form of free text that needs to be processed by text mining techniques to extract relevant information, and such techniques are still under development. A similar remark can be done for Information Extraction from biomedical literature. In this case, the large amount of scientific literature produced every year makes it difficult to remain updated even in restricted domains.
Presentation of the second-year research activities (November 25, 2019)
Tahir Mehmood received his Bachelor degree in Computer Science from University of Peshawar, Pakistan. Afterwards, he got his MSc degree in Information Technology from Universiti Teknologi PETRONAS, Malaysia. In 2017, he started his PhD in computer science from the Department of Information Engineering at Univesity of Brescia. His research interests include machine learning, big data, image processing, data science, and network security.
Curriculum: Computer Science/Engineering and Control Systems
Link to publication list