Identify language of patient history
using AI
Below is a free classifier to identify language of patient history. Just input your text, and our AI will predict the most likely languages spoken by the patient - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("language-of-patient-history", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/language-of-patient-history/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_text_here"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_text_here"}' \
https://www.nyckel.com/v1/functions/language-of-patient-history/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the most likely languages spoken by the patient.
This pretrained text model uses a Nyckel-created dataset and has 30 labels, including Arabic, Bengali, Czech, Danish, Dutch, English, Filipino, Finnish, French and German.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the most likely languages spoken by the patient).
Whether you're just curious or building language of patient history detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify language of patient history at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Patient Data Analysis: This function can help healthcare providers analyze the language used in patient histories to identify trends in symptom descriptions. By understanding common terminologies, medical professionals can improve diagnosis accuracy and tailor patient care to better meet needs.
- Multilingual Patient Services: By identifying the language of patient histories, healthcare organizations can offer better services to non-English-speaking patients. This functionality enables targeted translation services and ensures that all patient communications are effective and culturally sensitive.
- Clinical Research Insights: Researchers can leverage this function to categorize patient histories based on language for large-scale studies. This allows for the assessment of health outcomes across different language groups, ultimately aiding in understanding cultural differences in health-related behaviors.
- Automated Reporting: The identifier can be used to automate reporting processes by generating insights based on the language used in patient histories. Health administrators can streamline documentation and reporting, saving time and resources while enhancing accuracy.
- AI Training and Improvement: This function can help train AI models by providing labeled datasets based on patient language characteristics. Enhancing these models can lead to improved predictive analytics in healthcare applications, leading to better patient outcomes.
- Enhanced Patient Engagement: Understanding the language in patient histories can enable healthcare providers to engage patients more effectively. By personalizing communication strategies based on language use, providers can foster better relationships and improve adherence to treatment plans.
- Compliance and Quality Assurance: The function can assist in ensuring compliance with regulatory standards that require accurate record-keeping and reporting of patient information. Identifying the language of patient histories can help in auditing processes and maintaining high-quality records within healthcare facilities.