Miguel Angel Tejedor Hernandez

Forsker
ved Institutt for matematikk og statistikk ved UiT Norges arktiske universitet
Tilsatt
ved Nasjonalt senter for e-helseforskning ved Universitetssykehuset Nord-Norge HF

Resultater Resultater

Deidentifying a Norwegian clinical corpus - An effort to create a privacy-preserving Norwegian large clinical language model.

Ngo, Phuong Dinh; Tejedor Hernandez, Miguel Angel; Olsen Svenning, Therese; Chomutare, Taridzo Fred; Budrionis, Andrius; Dalianis, Hercules. 2024, Proceedings of the Workshop on Computational Approaches to Language Data Pseudonymization (CALD-pseudo 2024). UIT, UNNVitenskapelig artikkel

A multinational study on artificial intelligence adoption: Clinical implementers' perspectives.

Ruiz, Luis Marco; Tejedor Hernandez, Miguel Angel; Ngo, Phuong Dinh; Makhlysheva, Alexandra; Olsen Svenning, Therese; Dyb, Kari; Chomutare, Taridzo; Llatas, Carlos Fernández; Muñoz-Gama, Jorge; Tayefi Nasrabadi, Maryam. 2024, International Journal of Medical Informatics. UNN, UPdV, UCVitenskapelig artikkel

Miguel Angel Tejedor Hernandez

Resultater Resultater

Deidentifying a Norwegian clinical corpus - An effort to create a privacy-preserving Norwegian large clinical language model.

A multinational study on artificial intelligence adoption: Clinical implementers' perspectives.

Evaluating Deep Q-Learning Algorithms for Controlling Blood Glucose in In Silico Type 1 Diabetes.

Glucose Regulation for In-Silico Type 1 Diabetes Patients Using Reinforcement Learning.

Implementering av kunstig intelligens i norsk helsetjeneste: veien til utbredt bruk.