Uffe Kock Wiil

About Uffe Kock Wiil

Uffe Kock Wiil, With an exceptional h-index of 29 and a recent h-index of 14 (since 2020), a distinguished researcher at Syddansk Universitet, specializes in the field of health informatics, security informatics, social network analysis and mining, hypermedia, data-driven health technology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Using data mining to discover new patterns of social media and smartphone use and emotional states

Pulmonologists-Level lung cancer detection based on standard blood test results and smoking status using an explainable machine learning approach

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

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

A collection of multiregistry data on patients at high risk of lung cancer—a Danish retrospective cohort study of nearly 40,000 patients

Transformers for Detection of Distressed Cardiac Patients with an ICD Based on Danish Text Messages

Efficacy of a web-based healthcare innovation to advance the quality of life and care of patients with an implantable cardioverter defibrillator (ACQUIRE-ICD): a randomized …

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

Uffe Kock Wiil Information

University

Position

Professor

Citations(all)

2952

Citations(since 2020)

714

Cited By

2435

hIndex(all)

29

hIndex(since 2020)

14

i10Index(all)

72

i10Index(since 2020)

23

Email

University Profile Page

Google Scholar

Uffe Kock Wiil Skills & Research Interests

health informatics

security informatics

social network analysis and mining

hypermedia

data-driven health technology

Top articles of Uffe Kock Wiil

Using data mining to discover new patterns of social media and smartphone use and emotional states

Social Network Analysis and Mining

2024/4/17

Pulmonologists-Level lung cancer detection based on standard blood test results and smoking status using an explainable machine learning approach

arXiv preprint arXiv:2402.09596

2024/2/14

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

Scientific Reports

2024/1/29

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

Sensors

2024/4/14

Abdolrahman Peimankar
Abdolrahman Peimankar

H-Index: 6

Uffe Kock Wiil
Uffe Kock Wiil

H-Index: 10

A collection of multiregistry data on patients at high risk of lung cancer—a Danish retrospective cohort study of nearly 40,000 patients

Translational Lung Cancer Research

2023/12/12

Transformers for Detection of Distressed Cardiac Patients with an ICD Based on Danish Text Messages

2023/12/5

Efficacy of a web-based healthcare innovation to advance the quality of life and care of patients with an implantable cardioverter defibrillator (ACQUIRE-ICD): a randomized …

Europace

2023/12

Uffe Kock Wiil
Uffe Kock Wiil

H-Index: 10

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

The Lancet Digital Health

2023/10/1

Uffe Kock Wiil
Uffe Kock Wiil

H-Index: 10

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

BMC bioinformatics

2023/9/2

Monkeypox detection using deep neural networks

BMC Infectious Diseases

2023/6/27

Data-driven technologies for future healthcare systems

Frontiers in Medical Technology

2023/5/24

Md Anisur Rahman
Md Anisur Rahman

H-Index: 12

Uffe Kock Wiil
Uffe Kock Wiil

H-Index: 10

Lung cancer detection using smoking status and standard blood test analysis

Journal of Thoracic Oncology

2023/4/1

Structured decision support to prevent hospitalisations of community-dwelling older adults in Denmark (PATINA): an open-label, stepped-wedge, cluster-randomised controlled trial

The Lancet Healthy Longevity

2023/4/1

Explainable Intrusion Detection for Internet of Medical Things

2023

Uffe Kock Wiil
Uffe Kock Wiil

H-Index: 10

Special Issue" Recent Trends and Applications of Smart Systems for CyberSecurity"

Electronics

2023

Jawad Rasheed
Jawad Rasheed

H-Index: 4

Uffe Kock Wiil
Uffe Kock Wiil

H-Index: 10

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

Sensors

2023/1

A susceptibility network analysis of disease pathways leading to multiple sclerosis

Multiple Sclerosis Journal

2022

Prediction of Anxiety and Depression in ICD-Patients using Machine Learning Algorithms

2022

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

Frontiers in Artificial Intelligence

2022

Uffe Kock Wiil
Uffe Kock Wiil

H-Index: 10

Special Issue" Recent Trends and Applications of Blockchain and IoT Technologies to Combat COVID-19"

Applied Sciences

2022

Uffe Kock Wiil
Uffe Kock Wiil

H-Index: 10

See List of Professors in Uffe Kock Wiil University(Syddansk Universitet)

Co-Authors

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