Patient and Caregiver Conversations Classifier

Patient and Caregiver Conversations Classifier

This model is created specifically for the Health Industry. It helps researchers to label texts by the source. The sources are considered as “patient” and “caregiver” as source-based research in Health is very important to understand the motivations and problems of patients and caregivers separately.

See it in Action!

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Labels

Caregiver: This label represents the conversations that are written by a caregiver. Please pay your respects to all the caregivers in the world.
Patient: This label represents the conversations written by a patient who talks about their diagnosis, treatment process, or disease story.

Languages

English , Turkish

Description

As Plato said, attention to health is life's greatest hindrance. In every research conducted for the healthcare sector, opinions, concerns, questions, and complaints about a disease and its treatment methods, including medicines, vaccines, and operations, are of great importance. Therefore, many companies focus on subject-based research. However, the source of the data is as important as its content. For example, the reliability of research depends on identifying the source of a conversation about breast cancer (whether it is coming from the patients, the caregivers, or someone who has no idea and experience about the disease) and the data classification accordingly. The "Patient" model is provided to the companies in the healthcare industry that want to understand patients and their families better, respond to their requests, and reduce complaints. The model can classify contents about a disease and its treatment methods, including medicines, vaccines, and operations by the source as patient and caregiver in the fastest and most effortless way.

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Designed for marketing and research professionals. No programming skills are required.

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