Extract patient information from patient narratives

**Extract patient information from patient narratives:**

This model is specialized on health-related text analysis in colloquial language within the domain of Public Health and Voice of Patients. It is designed to identify and extract various entities such as Diagnosis, Treatments, Tests, Psychological Conditions, Relationship Status, Symptoms, Procedures, Health Status, Treatments, Substances etc. , informally presented in patient narratives.

This model is tailored for gleaning crucial insights directly from patient narratives, proficiently identifying entities like gender, age, substance abuse, psychological conditions, and many more. Engineered with the healthcare provider in mind, it ensures accurate extraction of patient-expressed data points from social media and on-line sources. 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.

**Additional Model Information**
- [Industry Use-Case Demo](https://demo.johnsnowlabs.com/healthcare/VOP/)
- [Full model info on John Snow Labs Models Hub](https://nlp.johnsnowlabs.com/2023/06/22/ner_vop_pipeline_en.html)
- **Domain:** Public Health
- **Subdomain:** Voice of Patients
- **Predictable entities:** Gender, Employment, Age, BodyPart, Substance, Form, PsychologicalCondition, Vaccine, Drug, DateTime, ClinicalDept, Laterality, Test, AdmissionDischarge, Disease, VitalTest, Dosage, Duration, RelationshipStatus, Route, Allergen, Frequency, Symptom, Procedure, HealthStatus, InjuryOrPoisoning, Modifier, Treatment, SubstanceQuantity, MedicalDevice, TestResult
- **Deployment Identifier:** 28. Extract patient information from patient narratives

**How to run this model:**
1. Acquire a John Snow Labs Pay As You Go (PAYG) license from [John Snow Labs](https://my.johnsnowlabs.com/).
2. Import this listing.
3. Use the attached notebook to deploy the model with **28. Extract patient information from patient narratives** as the model parameter. **Do not use the Open button on this page which appears after importing this listing. It will fail to deploy a model and does not work yet, you must use the attached notebook.**.

This model comes with optimized CPU and GPU builds. You can select which one to deploy via the notebook.

**How to obtain a PAYG license:**
1. Access [my.JohnSnowLabs.com](https://my.johnsnowlabs.com) and log in to your account. If you don't have an account, create one.
2. Go to the Get License page.
3. Switch to the PAYG Subscription tab and provide your credit card details.
4. Carefully review the End User License Agreement and the Terms and Conditions documents. If you agree, click on the Create Subscription button.
5. Once the process is complete, you will find your PAY-As-You-GO license listed on the My Subscriptions page.
6. Visit the My Subscriptions page and copy the PAYG license key by clicking on the copy icon in the License Key column.
7. Go to your Databricks notebook and paste your JSL-license into the JSL-License field in the top of the notebook. You are now ready to go!