Document Similarity Algorithm
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Develop tools as a team.
Certipair asked for our help in setting up a Document Similarity algorithm. It is an innovative search engine technology. Thus, our collaboration has made their algorithm a smart solution.
Certipair offers a collaborative database. Its objective is to strengthen the relationship between doctors and patients. The organization has developed a platform that guarantees better access to care. What interests them is to see a safe, reassuring and efficient medical pathway. The purpose of this database is to simplify health-related exchanges. Thus, caregivers can easily search for and send short messages in the form of SMS or email to their patients.
Improving the care pathway.
The development of this platform is based on two objectives. Thanks to its algorithm, the patient establishes a different type of relationship with his or her health pathway. Indeed, personalized information (prevention, reminder, recommendation, etc.) is transmitted to him. The practitioner, on the other hand, benefits from a time saving. Our intelligent recommendation search engine module offers these possibilities.
Working hand in hand with new technologies.
Recent scientific and technological advances are at the origin of this Document Similarity algorithm. Indeed, we rely on NLP (Natural Language Processing), in particular with Word2Vec or CamemBERT.
Other artificial intelligence modules are being implemented in order to clean and organize this database completely autonomously using clustering algorithms.
