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NEWS

News

Bringing mathematical modelling to crypto trading

By Johanne Thomsen | news | Comments are Closed | 19 July, 2022 | 0

We are entering the world of cryptocurrency through a collaboration with Singularity DAO. We bring our state-of-the-art Bayesian network technology to the world of crypto trading. We take the knowledge, skills and strategies of human traders and use HUGIN to model these behaviors. This will automate a number of processes and let the SingularityDAO trading team manageRead more

NEW release – HUGIN 9.2

By Johanne Thomsen | news | Comments are Closed | 30 June, 2022 | 0

Today we are excited to announce that we are releasing HUGIN 9.2! The main improvements are: A new algorithm to fine-tune a Naïve Bayes classifier that has been added to the HUGIN Graphical User Interface and the HUGIN Decision Engine. A number of improvements to the HUGIN Graphical User Interface, suchs as the option toRead more

Implementing Artificial Intelligence for pre-operative planning of knee surgery

By Johanne Thomsen | news | Comments are Closed | 2 June, 2022 | 0

We have moved into the second phase of the project Implementing Artificial Intelligence for pre-operative planning of knee surgery. At HUGIN we are the technology partner and the project is under Life Science Innovation North Denmark (https://www.lifescienceinnovation.dk). The project, which is running  under the framework of  the health technology service program (sundhedsteknologisk serviceprogram), is expected to complete byRead more

HUGIN FiNDR

By Johanne Thomsen | articles, news | Comments are Closed | 28 April, 2022 | 0

HUGIN FiNDR Siden 2019 har vi samarbejdet med Hjørring Kommune i et projekt om Servicelovens §83 og 83a. Dette er endt ud i Findr, som er et stykke software, baseret på Hugin Descision Engine, som ud fra eksisterende SOSU-observationer beskrevet i fritekst, kan identificere borgere, som modtager hjemmehjælp, med højest risiko for fremtidig indlæggelse. Dette kanRead more

Forudsigelse af patientstrømme i akutmodtagelsen ved Aalborg Universitetshospital

By Johanne Thomsen | news | Comments are Closed | 22 April, 2022 | 0

Dette projekt har til formål at anvende AI til at prædiktere patientstrømme og ventetid i Akut- og Traumecenter ved Aalborg Universitetshospital med henblik på at reducere ventetiden, forbedre arbejdsmiljøet og øge effektiviteten. Arbejdet i dette projekt har fokus på at videreudvikle softwaren til at understøtte prædiktion af ventetid fra et patientperspektiv samt produktmodne den samledeRead more

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