Electronic Health Records are a vital tool in combating the increasing suicide rate among young adults in the United States through providing an insight into the patient’s current mental state. However, given the limited resources available in the mental health industry, there is a need for robust algorithms which can detect and predict suicidal behaviors. Therefore, our research plans are to develop an NLP algorithm which can traverse the dataset, detect instances of suicide attempts or ideation, and provide information regarding the type of suicide
