Named entity identification for electronic medical records using HMM
Developed an HMM model for named entity recognition training on Chinese electronic medical records (data sourced from CCSK), achieving an F1-score of 90%.
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If you think you can help in any of these areas or in many areas we haven't thought of yet, then please take a look at our Contributors' guidelines.
If you want to report a problem or suggest an enhancement we'd love for you to open an issue at this github repository because then we can get right on it. But you can also contact Yuki(Yuxin) by email yuxin.yuki.chen@gmail.com.