Abstract: Embodiments disclosed herein generally relate to a mental health platform for clinicians and patients. A computing system generates a plurality of sets of training data. The plurality of sets of training data include portions of journal and inputs to mental health questionnaires corresponding to a plurality of patients. The computing system generates a prediction model to generate a health score of a patient, the health score indicative of the current mental health of the patient. The computing system receives input from a target patient. The input includes target responses to mental health questionnaires and target journal entries. The computing system analyzes the journal entries using natural language processing to tag portions of the journal entry with semantic tone and sentiment indicators. The computing system generates, via the prediction model, a target health score for the target patient based on the target responses and the target journal entries.