Studies

In line with our values of ethics and transparency, here you'll find information about the studies carried out with Detec't.

List of studies

The commercial names of the products studied as well as the names of the customers are not displayed for confidentiality reasons.

Study of the quality of life of patients with dry eye syndrome and treatments on social networks
The impact of hypoparathyroidism and its management on patients' quality of life
Study of methylphenidate use and misuse reported on social networks
What do social networks have to say about the Levothyrox health crisis of August 2017?
Detection of treatment non-adherence from medical forums
Representation of stress on social networks
Optimized identification of drug-related side effects
Extraction of side effects reported on social media using semantics and text-mining methods
Comparison between signals from Vigibase and signals from the web detected through medical forums in France between 2005 and 2015.
The benefits of using web-based signals between 2005 and 2015
Extracting side effects from social media

You wish to exercise your right to be forgotten?

If you have already expressed yourself on the Internet concerning a pathology or a medication, and you wish to exercise your right to be forgotten and not to be included in our studies, we invite you to fill out this form.

* Fields marked with an asterisk are required.
By submitting this form, you consent to Kap Code processing the data collected to manage your requests.
To learn more about the management of your personal data and to exercise your rights, you can consult our privacy policy.

Information on data processing

Kap Code, represented by Adel Mebarki

Raphael Germain, Kappa Santé, 4 Rue de Cléry, 75002 Paris

Our medical social media listening activity involves collecting, storing and analyzing verbatims from users and healthcare professionals, as part of bioinformatics research protocols and infodemiological studies. These data are collected anonymously or pseudonymously to protect the privacy that may be described in the testimonials, and are intended to increase understanding of patient, medical and therapeutic reality, on an aggregate and population scale. Only data associated with a sharing and secondary reuse agreement, from the posting author, are taken into account, on publicly accessible sources.

Content of the message posted publicly and certain associated data when present (location, date, time, pseudonym used, interactions such as "likes" and shares, interactions between users who follow each other,) for which consent has been given by the user.

Our medical social media listening activity involves collecting, storing and analyzing verbatims from users and healthcare professionals, as part of bioinformatics research protocols and infodemiological studies. These data are collected anonymously or pseudonymously to protect the privacy that may be described in the testimonials, and aim to increase our understanding of patient, medical and therapeutic reality, on an aggregate and population scale. Only data associated with a sharing and secondary reuse agreement, from the posting author, are taken into account, on publicly accessible sources.

Kap Code, 146 Rue Montmartre, 75002 Paris, France

From social networks, testimonials/data are stored on our server where they remain. The only files that may be sent to our partners are aggregate analysis reports containing anonymous verbatims with no identifying information, for illustrative purposes.

Data is kept for a period of 5 years.

As our raw data is extracted without any notion of the actual identity of the poster, we are unable to identify the potential data of a specific real person.

As our raw data is extracted without any notion of the actual identity of the poster, we are unable to identify the potential data of a specific real person.

i. Limits of the right to erasure :

1. the use of your data if it concerns a public interest in the field of health.

2. their use for archival purposes in the public interest, for scientific or historical research, or for statistical purposes.

Data processing is limited to the collection, storage and analysis of message populations for descriptive purposes. No decisions are taken automatically. However, in certain cases, all public testimonials from a user may be collected from the moment at least one message relating to a health condition is identified, for the purposes of monitoring and analyzing medical developments. Clustering algorithms (classifiers) can be used to identify specific sub-populations within public or user messages. If profiling or marketing targeting is never carried out, it is possible to identify the public Internet source on which one or more patients eligible for a clinical study are expressing themselves, with the aim of proposing a link which, depending on the user's personal choice, would enable them to apply for the study in question.

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