TY - JOUR AU - Sampathkumar, Hariprasad AU - Chen, Xue-wen AU - Luo, Bo PY - 2014 DA - 2014/10/23 TI - Mining Adverse Drug Reactions from online healthcare forums using Hidden Markov Model JO - BMC Medical Informatics and Decision Making SP - 91 VL - 14 IS - 1 AB - Adverse Drug Reactions are one of the leading causes of injury or death among patients undergoing medical treatments. Not all Adverse Drug Reactions are identified before a drug is made available in the market. Current post-marketing drug surveillance methods, which are based purely on voluntary spontaneous reports, are unable to provide the early indications necessary to prevent the occurrence of such injuries or fatalities. The objective of this research is to extract reports of adverse drug side-effects from messages in online healthcare forums and use them as early indicators to assist in post-marketing drug surveillance. SN - 1472-6947 UR - https://doi.org/10.1186/1472-6947-14-91 DO - 10.1186/1472-6947-14-91 ID - Sampathkumar2014 ER -