Mathias Kraus
Overview
Explore the profile of Mathias Kraus including associated specialties, affiliations and a list of published articles.
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12
Citations
39
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Recent Articles
1.
Zilker S, Weinzierl S, Kraus M, Zschech P, Matzner M
Health Care Manag Sci
. 2024 May;
27(2):136-167.
PMID: 38771522
Proactive analysis of patient pathways helps healthcare providers anticipate treatment-related risks, identify outcomes, and allocate resources. Machine learning (ML) can leverage a patient's complete health history to make informed decisions...
2.
Berube C, Maritsch M, Lehmann V, Kraus M, Feuerriegel S, Zuger T, et al.
JMIR Hum Factors
. 2024 Apr;
11:e46967.
PMID: 38635313
Background: Hypoglycemia threatens cognitive function and driving safety. Previous research investigated in-vehicle voice assistants as hypoglycemia warnings. However, they could startle drivers. To address this, we combine voice warnings with...
3.
Berube C, Lehmann V, Maritsch M, Kraus M, Feuerriegel S, Wortmann F, et al.
JMIR Hum Factors
. 2024 Jan;
11:e42823.
PMID: 38194257
Background: Hypoglycemia is a frequent and acute complication in type 1 diabetes mellitus (T1DM) and is associated with a higher risk of car mishaps. Currently, hypoglycemia can be detected and...
4.
Maritsch M, Foll S, Lehmann V, Styger N, Berube C, Kraus M, et al.
Diabetes Obes Metab
. 2023 Dec;
26(3):1133-1136.
PMID: 38086545
No abstract available.
5.
Keller G, Rachunek K, Springer F, Kraus M
Radiol Med
. 2023 Sep;
128(12):1535-1541.
PMID: 37726593
Purpose: Not diagnosed or mistreated scapholunate ligament (SL) tears represent a frequent cause of degenerative wrist arthritis. A newly developed deep learning (DL)-based automated assessment of the SL distance on...
6.
van Weenen E, Banholzer N, Foll S, Zueger T, Fontana F, Skroce K, et al.
Diabetes Obes Metab
. 2023 May;
25(9):2616-2625.
PMID: 37254680
Aims: To analyse glycaemic patterns of professional athletes with type 1 diabetes during a competitive season. Materials And Methods: We analysed continuous glucose monitoring data of 12 professional male cyclists...
7.
Schallmoser S, Zueger T, Kraus M, Saar-Tsechansky M, Stettler C, Feuerriegel S
J Med Internet Res
. 2023 Feb;
25:e42181.
PMID: 36848190
Background: Micro- and macrovascular complications are a major burden for individuals with diabetes and can already arise in a prediabetic state. To allocate effective treatments and to possibly prevent these...
8.
Lehmann V, Foll S, Maritsch M, van Weenen E, Kraus M, Lagger S, et al.
Diabetes Care
. 2023 Feb;
46(5):993-997.
PMID: 36805169
Objective: To develop a noninvasive hypoglycemia detection approach using smartwatch data. Research Design And Methods: We prospectively collected data from two wrist-worn wearables (Garmin vivoactive 4S, Empatica E4) and continuous...
9.
Lehmann V, Zueger T, Maritsch M, Kraus M, Albrecht C, Berube C, et al.
Diabetes Obes Metab
. 2023 Feb;
25(6):1668-1676.
PMID: 36789962
Aim: To develop and evaluate the concept of a non-invasive machine learning (ML) approach for detecting hypoglycaemia based exclusively on combined driving (CAN) and eye tracking (ET) data. Materials And...
10.
Zueger T, Schallmoser S, Kraus M, Saar-Tsechansky M, Feuerriegel S, Stettler C
Diabetes Technol Ther
. 2022 Jul;
24(11):842-847.
PMID: 35848962
Traditional risk scores for the prediction of type 2 diabetes (T2D) are typically designed for a general population and, thus, may underperform for people with prediabetes. In this study, we...