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Blog

NEW Release – HUGIN v. 8.9

By Anders L. Madsen | news | Comments are Closed | 2 June, 2020 | 0

June 2, 2020: New Release – HUGIN 8.9 Today we are releasing a new version of the HUGIN software (v8.9). The main improvement of HUGIN software in version 8.9 is the migration of the HUGIN Graphical User Interface to OpenJDK and associated updates. HUGIN Graphical User Interface v. 8.9 The HUGIN Graphical User Interface hasRead more

Opstartsmøde på nyt projekt

By Anders L. Madsen | news | Comments are Closed | 30 April, 2020 | 0

I dag havde vi opstartsmøde på vores nye LSI-projekt omkring forudsigelse af behov under Servicelovens §83 og §83a med deltagere fra Hjørring Kommune, TREAT Systems, HUGIN og LSI. Vi ser meget frem til et spændende samarbejde.Read more

Nyt AI-projekt under LSI

By Anders L. Madsen | news | Comments are Closed | 14 April, 2020 | 0

HUGIN er leadpartner i projektet Prædiktering af fremtidige behov under Servicelovens §83 og §83a med AI-Teknologi under Life Science Innovation North Denmark (https://www.lifescienceinnovation.dk). Projektet kører under rammerne af sundhedsteknologisk serviceprogram og forventes afsluttet ultimo 2020. Dette projekt vil anvende AI-teknologi til prædiktering af fremtidige behov for ydelser under Servicelovens §83 og §83a. Målet er atRead more

Afsluttende statusmøde på SSP AI-projekt

By Anders L. Madsen | news | Comments are Closed | 3 April, 2020 | 0

Vi har i dag med stor succes afsluttet et spændende og innovativt projektsamarbejde mellem offentlige og private aktører i Nordjylland. Projektet modtog støtte fra Life Science Innovation North Denmark via Sundhedsteknologisk Service Program (SSP). Projektet var et samarbejde mellem Hjørring Kommune, Aalborg Universitet, Dataproces, TREAT Systems og HUGIN EXPERT.Read more

HUGIN COURSE IN BAYESIAN NETWORKS – MAY 2020

By Anders L. Madsen | news | Comments are Closed | 1 March, 2020 | 0

Do you work with machine learning, advanced analytics, predictive modelling or data discovery? Join us and learn the foundation of Bayesian networks and how to use them with the HUGIN tool. Sign up for our 3-days course in Bayesian Networks, in Aalborg, Denmark on May 12th – 14th, 2020. Attendees work “hands-on” with HUGIN software,Read more

KL nyhed om OPI-samarbejde med Hjørring Kommune

By Anders L. Madsen | news | Comments are Closed | 21 February, 2020 | 0

KL har publiceret en nyhed på deres hjemmeside for velfærdsteknologi omkring vores OPI samarbejde med blandt andet Hjørring Kommune: nyhedRead more

Når Innovation Lykkes i Nordjylland

By Anders L. Madsen | news | Comments are Closed | 31 January, 2020 | 0

HUGIN havde en stand på det netop afholdte LSI-arrangement “Når Innovation Lykkes i Nordjylland”. Her præsenterede vi de to projekter “Identifikation af leverancer med høj risiko for afvigelser” og “Forudsigelse af patientstrømme i akutmodtagelsen”.Read more

HUGIN COURSE IN BAYESIAN NETWORKS – FEBRUARY 2020

By Anders L. Madsen | news | Comments are Closed | 15 December, 2019 | 0

Do you work with machine learning, advanced analytics, predictive modelling or data discovery? Join us and learn the foundation of Bayesian networks and how to use them with the HUGIN tool. Sign up for our 3-days course in Bayesian Networks, in Aalborg, Denmark on February 25th – 27th, 2020. Attendees work “hands-on” with HUGIN software,Read more

HUGIN EXPERT celebrates 30th Anniversary

By Anders L. Madsen | news | Comments are Closed | 24 October, 2019 | 0

HUGIN EXPERT was founded 30 years ago today on October 24th, 1989. HUGIN is the spin-off of an EU-funded project to aid doctors in diagnosing nerve and muscle diseases. To overcome uncertainty in diagnosis, an expert system, MUNIN, was built based on Causal Probabilistic Networks (CPNs). These artificial intelligence methods were taken to the nextRead more

HUGIN QGIS BBN plugin is now available for QGIS3

By Anders L. Madsen | Uncategorized | Comments are Closed | 18 October, 2019 | 0

The HUGIN QGIS BBN plugin is now available for QGIS3. The QGIS Processing script makes it possible to apply a Bayesian network to each point in one or more raster layers and output a new raster layer with the results. For each point potentially covering multiple layers, the Bayesian network inserts and propagates the valuesRead more

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