Sharib A. Khan

Work place: Applied Informatics Inc., New York, NY 10001, USA



Research Interests: Healthcare, Computer systems and computational processes


Sharib Ahmad Khan: Co-founder, Product Lead, Sharib has a passion for merging technology and healthcare that changes the way we approach healthcare. Sharib holds a Masters in Biomedical Informatics at Columbia University and an MD from University of Medical Sciences, Delhi University

Author Articles
Using Deep Learning Towards Biomedical Knowledge Discovery

By Nadeem N. Rather Chintan O. Patel Sharib A. Khan

DOI:, Pub. Date: 8 Apr. 2017

A vast amount of knowledge exists within biomedical literature, publications, clinical notes and online content. Identifying hidden, interesting or previously unknown biomedical knowledge from free text resources using an automated approach remains an important challenge. Towards this problem, we investigate the use of deep learning methods that have shown significant promise in identifying hidden patterns from large corpus of text in an unsupervised manner. For example, it can deduce that 'husband' - 'man' + 'woman' = 'wife'. We use the text corpus from MRDEF file in the Unified Medical Language System (UMLS) dataset as training set to discover potential relationships. To evaluate our approach, we cross-verify new relationships against the UMLS MRREL dataset and conduct a manual evaluation from a sample of the non-overlapping set. The algorithm found 32% of new relationships not originally represented in the UMLS. The deep learning methods provide a promising approach in discovering potential new biomedical knowledge from free text.

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