@article{MAKHILLJEAS2017122014919,
    title = {Challenge of Text Mining in Clinical Decision Support System: Review},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {12},
    number = {20},
    pages = {5261-5273},
    year = {2017},
    issn = {1816-949x},
    doi = {jeasci.2017.5261.5273},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2017.5261.5273},
    author = {Ala Aldeen Ismail,Harihodin Bin and},
    keywords = {Text mining,medical data,decision support system,structured,particularly important,NLP},
    abstract = {This study provides an overview of work done by researchers in areas related to Semantic Text
Mining (STM). This is particularly important since STM could be considered a generic technique which is
applied to signal detection in the work presented and similarly, signal detection could be considered a generic
problem which is solved using STM technique in the work presented. A closer look at the evolution and
challenges to be addressed provides a good starting point in arriving at the solution framework. In the literature
review also cover of NLP and predication diseases for general diseases not particular disease. The detail of
Clinical Decision Support System (CDSS) and the research studies in the field converting unstructured medical
data which doctor notes into structured medical data (NLP) and the research on prediction diseases framework
regarding the aid of CDSS.}
    }