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Recent Advances in Computational Intelligence

1st ed. 2019., 2019

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Can Tele-Health Support Self-Care and Empowerment? A Qualitative Study of Hip Fracture Patients’ Experiences With Testing an “App”

SAGE open nursing, 2019, Vol.5, p.2377960819825752-2377960819825752

2019

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Computer Music Modeling and Retrieval: International Symposium, CMMR 2003, Montpellier, France, May 26-27, 2003, Revised Papers

1, 2004

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Bridging the gap: A user-driven study on new ways to support self-care and empowerment for patients with hip fracture

SAGE open medicine, 2018, Vol.6, p.2050312118799121-2050312118799121

2018

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Important steps for artificial intelligence-based risk assessment of older adults

The Lancet. Digital health, 2023-10, Vol.5 (10), p.e635-e636

Wiil, Uffe Kock

2023

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A Machine Learning Approach for Walking Classification in Elderly People with Gait Disorders

Sensors (Basel, Switzerland), 2023-01, Vol.23 (2), p.679

2023

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Help at hand: Women’s experiences of using a mobile health application upon diagnosis of asymptomatic osteoporosis

SAGE open medicine, 2018, Vol.6, p.2050312118807617-2050312118807617

2018

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Emotion-Based Content Personalization in Social Networks

Journal of Information and Organizational Sciences, 2018-06, Vol.42 (1), p.1-16

2018

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The patient’s perspective on rehabilitation with wireless accelerometers, activity tracking and motivational feedback following knee replacement: A qualitative study prior to a randomised controlled trial (KneeActivity)

International journal of medical informatics (Shannon, Ireland), 2024-12, Vol.192, p.105624, Article 105624

2024

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Survival prediction of glioblastoma patients using modern deep learning and machine learning techniques

Scientific reports, 2024-01, Vol.14 (1), p.2371-2371, Article 2371

2024

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AUD-DSS: a decision support system for early detection of patients with alcohol use disorder

BMC bioinformatics, 2023-09, Vol.24 (1), p.1-329, Article 329

2023

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Machine learning techniques for mortality prediction in emergency departments: a systematic review

BMJ open, 2021-11, Vol.11 (11), p.e052663-e052663

2021

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Energy Expenditure Prediction from Accelerometry Data Using Long Short-Term Memory Recurrent Neural Networks

Sensors (Basel, Switzerland), 2024-04, Vol.24 (8), p.2520

2024

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Monkeypox detection using deep neural networks

BMC infectious diseases, 2023-06, Vol.23 (1), p.438-438, Article 438

2023

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Impact of motivational feedback on levels of physical activity and quality of life by activity monitoring following knee arthroplasty surgery-protocol for a randomized controlled trial nested in a prospective cohort (Knee-Activity)

BMC musculoskeletal disorders, 2024-10, Vol.25 (1), p.778-12, Article 778

2024

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Development of an mHealth Application for Women Newly Diagnosed with Osteoporosis without Preceding Fractures: A Participatory Design Approach

International journal of environmental research and public health, 2018-02, Vol.15 (2), p.330

2018

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Application of machine learning techniques for predicting survival in ovarian cancer

BMC medical informatics and decision making, 2022-12, Vol.22 (1), p.345-345, Article 345

2022

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Editorial: Data-driven technologies for future healthcare systems

Frontiers in medical technology, 2023-05, Vol.5, p.1183687-1183687

2023

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Quantifying the impact of addressing data challenges in prediction of length of stay

BMC medical informatics and decision making, 2021-10, Vol.21 (1), p.298-298, Article 298

2021

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Patient@home Ecosystem

Nordisk välfärdsforskning, 2019-03, Vol.4 (1), p.32-36

Wiil, Uffe Kock

2019

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Overview of Slicing and Feedback Techniques for Efficient Verification of UML/OCL Class Diagrams

IEEE access, 2018-01, Vol.6, p.23864-23882

2018

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Cross-Cultural Bayesian Network Analysis of Factors Affecting Residents' Concerns About the Spread of an Infectious Disease Caused by Tourism

Frontiers in psychology, 2021-06, Vol.12, p.635110-635110

2021

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Identification of patients' smoking status using an explainable AI approach: a Danish electronic health records case study

BMC medical research methodology, 2024-05, Vol.24 (1), p.114-114, Article 114

2024

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Identification of clinical factors related to prediction of alcohol use disorder from electronic health records using feature selection methods

BMC medical informatics and decision making, 2022-11, Vol.22 (1), p.304-25, Article 304

2022

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Using Facial Landmark Detection on Thermal Images as a Novel Prognostic Tool for Emergency Departments

Frontiers in artificial intelligence, 2022-04, Vol.5, p.815333-815333

2022

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Recent Advances in Computational Intelligence

Can Tele-Health Support Self-Care and Empowerment? A Qualitative Study of Hip Fracture Patients’ Experiences With Testing an “App”

Computer Music Modeling and Retrieval: International Symposium, CMMR 2003, Montpellier, France, May 26-27, 2003, Revised Papers

Bridging the gap: A user-driven study on new ways to support self-care and empowerment for patients with hip fracture

Important steps for artificial intelligence-based risk assessment of older adults

A Machine Learning Approach for Walking Classification in Elderly People with Gait Disorders

Help at hand: Women’s experiences of using a mobile health application upon diagnosis of asymptomatic osteoporosis

Emotion-Based Content Personalization in Social Networks

The patient’s perspective on rehabilitation with wireless accelerometers, activity tracking and motivational feedback following knee replacement: A qualitative study prior to a randomised controlled trial (KneeActivity)

Survival prediction of glioblastoma patients using modern deep learning and machine learning techniques

AUD-DSS: a decision support system for early detection of patients with alcohol use disorder

Machine learning techniques for mortality prediction in emergency departments: a systematic review

Energy Expenditure Prediction from Accelerometry Data Using Long Short-Term Memory Recurrent Neural Networks

Monkeypox detection using deep neural networks

Impact of motivational feedback on levels of physical activity and quality of life by activity monitoring following knee arthroplasty surgery-protocol for a randomized controlled trial nested in a prospective cohort (Knee-Activity)

Development of an mHealth Application for Women Newly Diagnosed with Osteoporosis without Preceding Fractures: A Participatory Design Approach

Application of machine learning techniques for predicting survival in ovarian cancer

Editorial: Data-driven technologies for future healthcare systems

Quantifying the impact of addressing data challenges in prediction of length of stay

Patient@home Ecosystem

Overview of Slicing and Feedback Techniques for Efficient Verification of UML/OCL Class Diagrams

Cross-Cultural Bayesian Network Analysis of Factors Affecting Residents' Concerns About the Spread of an Infectious Disease Caused by Tourism

Identification of patients' smoking status using an explainable AI approach: a Danish electronic health records case study

Identification of clinical factors related to prediction of alcohol use disorder from electronic health records using feature selection methods

Using Facial Landmark Detection on Thermal Images as a Novel Prognostic Tool for Emergency Departments

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