Extract entities from mental-health data

This model is specialized in analyzing and extracting mental-health entities such as opioid drugs, substance use, substance quantity,, symptom, drug information like dosage, duration, route, form, frequency,strength, etc, procedures, treatment and test , patient social information and more. It is tailored for gleaning crucial insights , proficiently identifying entities like gender, age, substance abuse, psychological conditions, and many more. By leveraging this pipeline, medical professionals can gain a more comprehensive understanding of the patient experience, ensuring care that is both patient-centered and data-informed.

Use the provided Streamlit playground application to test this service.

- Extracted Entities: Mental_Health, Opioid_Drug, Substance_Use, Substance_Quantity, Injury_or_Poisoning, Symptom, Drug, Drug_Dosage, Drug_Duration, Drug_Route, Drug_Form, Frequency, Drug_Strength, Procedure, Treatment, Test, Test_Result, Gender, Age, Disease_Syndrome_Disorder, Smoking, Alcohol, Social_Exclusion, Family_Member, Childhood_Event, Disability, Eating_Disorder, Violence_Or_Abuse
- Assertion Status Labels: Present, Absent, Possible, Planned, Past, Family, Hypotetical, SomeoneElse
- Relation Extraction Labels:Drug,Drug_Dosage,Drug-Frequency,Drug-Duration,Drug-Drug_Strength, Test-Test_Result, Disease_Syndrome_Disorder-Symptom, Disease_Syndrome_Disorder-Drug, Symptom-Drug, Treatment_Drug, Symptom-Treatment, Disease_Syndrome_Disorder-Treatment, Treatment-Drug, Disease_Syndrome_Disorder-Procedure, Procedure-Drug, Mental_Health-Opioid_Drug, Mental_Health-Substance_Use, Mental_Health-Injury_or_Poisoning, Mental_Health-Symptom, Mental_Health-Drug, Mental_Health-Procedure, Mental_Health-Treatment, Mental_Health-Test, Mental_Health-Gender, Mental_Health-Age and much more.

搜集汇总

背景与挑战

背景概述

该数据集是一个专门用于从心理健康数据中抽取实体的模型，能够识别如药物、症状、治疗、患者社会信息等多种实体类型，并支持断言状态和关系抽取。它旨在帮助医疗专业人员更全面地理解患者情况，实现以患者为中心的数据驱动护理。