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Miguel Angel Tejedor Hernandez

Bio

Miguel Ángel Tejedor Hernández is a researcher in health analytics at the Norwegian Centre for E-health Research. He received his PhD degree in Science from UiT The Artic University of Norway. He holds a Master's degree in Telecommunications Engineering, and a second Master's in Telecommunication Technologies, both from the University of Las Palmas de Gran Canaria (ULPGC).

His research interests focus on applied machine learning for healthcare. Concretely, his recent research has been focused on developing algorithms for blood glucose control in type 1 diabetes patients using machine learning techniques. Previously, his research was focused on developing algorithms to detect brain cancer using hyperspectral imaging and machine learning techniques.

Miguel Angel's projects
Project title Year Theme Project management
Knowledge summary: AI Implementation in Healthcare 2021 - 2022 Health data
Maryam Tayefi Nasrabadi
ClinCode - Computer-Assisted Clinical ICD-10 Coding for improving efficiency and quality in healthcare 2021 - 2024 Health data
Hercules Dalianis
SMART: Sensor data and machine learning to aid hormone replacement of the thyroid 2024 - 2026 Health data
Services for health professionals
Miguel Angel Tejedor Hernandez
Miguel Angel's publications in Cristin
Title Year Category
Deidentifying a Norwegian clinical corpus - An effort to create a privacy-preserving Norwegian large clinical language model 2024 Academic article
A multinational study on artificial intelligence adoption: Clinical implementers' perspectives 2024 Academic article
Evaluating Deep Q-Learning Algorithms for Controlling Blood Glucose in In Silico Type 1 Diabetes 2023 Academic article
Implementering av kunstig intelligens i norsk helsetjeneste: veien til utbredt bruk 2023 Report
Artificial Intelligence Implementation in Healthcare: A Theory-Based Scoping Review of Barriers and Facilitators 2022 Academic literature review
Implementation of artificial intelligence in Norwegian healthcare: The road to broad adoption 2022 Report
Data-Driven Robust Control Using Reinforcement Learning 2022 Academic article
Glucose Regulation for In-Silico Type 1 Diabetes Patients Using Reinforcement Learning 2021 Doctoral dissertation
In-silico evaluation of glucose regulation using policy gradient reinforcement learning for patients with type 1 diabetes mellitus 2020 Academic article
Risk-Averse Food Recommendation Using Bayesian Feedforward Neural Networks for Patients with Type 1 Diabetes Doing Physical Activities 2020 Academic article
Controlling Blood Glucose For Patients With Type 1 Diabetes Using Deep Reinforcement Learning - The Influence Of Changing The Reward Function 2020 Popular scientific lecture
Including T1D knowledge in deep reinforcement learning reduces hypoglycemia 2020 Poster
Controlling Blood Glucose For Patients With Type 1 Diabetes Using Deep Reinforcement Learning - The Influence Of Changing The Reward Function 2020 Poster
Reinforcement learning application in diabetes blood glucose control: A systematic review 2020 Academic literature review
In-silico Evaluation of Trust Region Policy Optimization Reinforcement Learning for T1DM Closed-Loop Control 2019 Poster
In-silico Evaluation of Type-1 Diabetes Closed-Loop Control using Deep Reinforcement Learning 2019 Poster
A Decision Support Tool for Optimal Control of Planet Temperature Using Reinforcement Learning 2018 Lecture
A Novel Use of Hyperspectral Images for Human Brain Cancer Detection using In-Vivo Samples 2016 Popular scientific lecture
Brain tumours detection by semi-supervised algorithm combining spectral unmixing and supervised classification using hyperspectral imaging 2016 Masters thesis
Identification of brain tumours by studying the shape and composition of brain tissues using hyperspectral imaging 2015 Masters thesis
Miguel Angel's project reports
Report no. Title Author(s)
2023 01 Implementering av kunstig intelligens i norsk helsetjeneste: veien til utbredt bruk Alexandra Makhlysheva, Luis Marco Ruiz, Therese Svenning, Phuong Dinh Ngo, Miguel Angel Tejedor Hernandez, Anne Torill Nordsletta, Maryam Tayefi Nasrabadi
2022 01 Implementation of artificial intelligence in Norwegian healthcare: The road to broad adoption Alexandra Makhlysheva, Luis Marco Ruiz, Therese Svenning, Phuong Dinh Ngo, Miguel Angel Tejedor Hernandez, Anne Torill Nordsletta, Maryam Tayefi Nasrabadi