Simon Cichosz

Simon Cichosz

Aalborg Universitet

H-index: 18

Europe-Denmark

About Simon Cichosz

Simon Cichosz, With an exceptional h-index of 18 and a recent h-index of 14 (since 2020), a distinguished researcher at Aalborg Universitet, specializes in the field of Diabetes, COPD, Predictive modeling.

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

Detrended_Fluctuation_Analysis_for_CGM_Matlab (v0. 1.2)

Enhancing Transparency and Reporting Standards in Diabetes Prediction Modeling: The Significance of the TRIPOD+ AI 2024 Statement

Development and Validation of a Machine Learning Model to Predict Weekly Risk of Hypoglycemia in Patients with Type 1 Diabetes Based on Continuous Glucose Monitoring

Impact of Sten-O Starter on Glycemic Management in Children and Adolescents with Type 1 Diabetes in the North Region of Denmark

Beyond A1c: Investigating the Contribution of Red Blood Cell Parameters to Dysglycemia Diagnostics

Development of Machine Learning Models for the Identification of Elevated Ketone Bodies During Hyperglycemia in Patients with Type 1 Diabetes

A Comparative Analysis of Machine Learning Models for the Detection of Undiagnosed Diabetes Patients

Identification of individuals with diabetes who are eligible for continuous glucose monitoring forecasting

Simon Cichosz Information

University

Position

___

Citations(all)

1117

Citations(since 2020)

797

Cited By

595

hIndex(all)

18

hIndex(since 2020)

14

i10Index(all)

34

i10Index(since 2020)

27

Email

University Profile Page

Aalborg Universitet

Google Scholar

View Google Scholar Profile

Simon Cichosz Skills & Research Interests

Diabetes

COPD

Predictive modeling

Top articles of Simon Cichosz

Title

Journal

Author(s)

Publication Date

Detrended_Fluctuation_Analysis_for_CGM_Matlab (v0. 1.2)

Simon Lebech Cichosz

2024/1/6

Enhancing Transparency and Reporting Standards in Diabetes Prediction Modeling: The Significance of the TRIPOD+ AI 2024 Statement

Journal of Diabetes Science and Technology

Simon Lebech Cichosz

2024/5

Development and Validation of a Machine Learning Model to Predict Weekly Risk of Hypoglycemia in Patients with Type 1 Diabetes Based on Continuous Glucose Monitoring

JAMA Network Open

Vishal Sharma

Vinaykumar Kulkarni

Ed Jess

Fizza Gilani

Dean Eurich

...

2022/12/1

Impact of Sten-O Starter on Glycemic Management in Children and Adolescents with Type 1 Diabetes in the North Region of Denmark

Diabetes Epidemiology and Management

Clara Bender

Morten Hasselstrøm Jensen

Signe Buch Skindbjerg

Anne Nielsen

Cristine Feldthaus

...

2024/4/1

Beyond A1c: Investigating the Contribution of Red Blood Cell Parameters to Dysglycemia Diagnostics

Journal of Diabetes Science and Technology

Simon Lebech Cichosz

2024/1/5

Development of Machine Learning Models for the Identification of Elevated Ketone Bodies During Hyperglycemia in Patients with Type 1 Diabetes

Diabetes Technology & Therapeutics

Simon Lebech Cichosz

Clara Bender

2024/3/8

A Comparative Analysis of Machine Learning Models for the Detection of Undiagnosed Diabetes Patients

Sonal Pathak

Suhail Javed Quraishi

Anupam Singh

Malikhan Singh

Kavita Arora

...

2023

Identification of individuals with diabetes who are eligible for continuous glucose monitoring forecasting

Diabetes & Metabolic Syndrome: Clinical Research & Reviews

Simon Lebech Cichosz

Ole Hejlesen

Morten Hasselstrøm Jensen

2024/2/25

Prediction of pancreatic cancer risk in patients with new-onset diabetes using a machine learning approach based on routine biochemical parameters

Computer Methods and Programs in Biomedicine

Simon Lebech Cichosz

Morten Hasselstrøm Jensen

Ole Hejlesen

Stine Dam Henriksen

Asbjørn Mohr Drewes

...

2024/2/1

Frameworks for Developing Machine Learning Models

Journal of Diabetes Science and Technology

Simon Lebech Cichosz

2023/5

Introducing a Problem Analysis Tool Implies Increasement in Understanding the Problem Analysis Among Students: a PBL Case

Journal of Problem Based Learning in Higher Education

Clara Bender

Simon Lebech Cichosz

Patrik Kjærsdam Telléus

Ole Kristian Hejlesen

2023/9/19

Using image processing and automated classification models to classify microscopic gram stain images

Computer Methods and Programs in Biomedicine Update

Kris Kristensen

Logan Morgan Ward

Mads Lause Mogensen

Simon Lebech Cichosz

2023/1/1

Body Composition Prediction—BOMP: A New Tool for Assessing Fat and Lean Body Mass

Journal of Diabetes Science and Technology

Simon Lebech Cichosz

Peter Vestergaard

Ole Hejlesen

2023/5

Risk of pancreatic cancer in people with new-onset diabetes: A Danish nationwide population-based cohort study

Pancreatology

Morten Hasselstrøm Jensen

Simon Lebech Cichosz

Ole Hejlesen

Stine Dam Henriksen

Asbjørn Mohr Drewes

...

2023/9/1

Optimal Data Collection Period for Continuous Glucose Monitoring to Assess Long-Term Glycemic Control: Revisited

Journal of Diabetes Science and Technology

Simon Lebech Cichosz

Morten Hasselstrøm Jensen

Ole Hejlesen

2023/5

Using random forest machine learning on data from a large, representative cohort of the general population improves clinical spirometry references

The Clinical Respiratory Journal

Kris Kristensen

Pernille H Olesen

Anna K Roerbaek

Louise Nielsen

Helle K Hansen

...

2023/8

God praksis for udvikling af machine learning-modeller

Best Practice Nordic

Simon Lebech Cichosz

Thomas Kronborg

Morten Hasselstrøm Jensen

2023/3/30

Using machine learning to design a short test from a full-length test of functional health literacy in adults—The development of a short form of the Danish TOFHLA

Plos one

Lisa Korsbakke Emtekær Hæsum

Simon Lebech Cichosz

Ole Kristian Hejlesen

2023/7/27

Time in range is associated with less hypoglycemia fear and higher diabetes technology acceptance in adults with well-controlled T1D

Journal of Diabetes and its Complications

Setareh Aslani

Claudia Westergaard Jensen

Annika Oddmarsdóttir Olsson

Sofie Secher Thomsen

Simon Lebech Cichosz

2023/2/1

Good Practice for Developing Clinical Machine Learning Models

Best Practice Nordic

Simon Lebech Cichosz

Morten Hasselstrøm Jensen

Thomas Kronborg

2023/5/8

See List of Professors in Simon Cichosz University(Aalborg Universitet)