Supervised Learning Based Hypothesis Generation from Biomedical Literature

• Published in: BioMed research international Vol. 2015; no. 2015; pp. 1 - 12
• Main Authors: Lin, Hongfei, Li, Zongyao, Yang, Zhihao, Sang, Shengtian
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2015; John Wiley & Sons, Inc
• Subjects: Activity based costing; Algorithms; Data Mining; Educational aspects; Fish oils; Humans; Information retrieval; Learning strategies; Medical education; Medical Informatics Computing; Medical literature; Medical research; Medical Subject Headings-MeSH; Methods; Natural Language Processing; Physiology; Raynaud disease; Semantics; Statistical analysis

Nowadays, the amount of biomedical literatures is growing at an explosive speed, and there is much useful knowledge undiscovered in this literature. Researchers can form biomedical hypotheses through mining these works. In this paper, we propose a supervised learning based approach to generate hypot...