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Comparison of measured and modelled uv indices for the assessment of health risks

De Backer, Hugo ; Koepke, Peter ; Bais, Alkiviadis ; [et al.]

Wiley ; 2001

In: Meteorological Applications Vol. 8, No. 3 ( 2001-9), p. 267-277

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In: Meteorological Applications, Wiley, Vol. 8, No. 3 ( 2001-9), p. 267-277

Type of Medium: Online Resource

ISSN: 1350-4827

URL: Article

DOI: 10.1017/S1350482701003024

Language: Unknown

Publisher: Wiley

Publication Date: 2001

detail.hit.zdb_id: 1482937-X

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Knowledge, opinions and expectations of adults concerning personalised genotype-based dietary recommendations: a German survey

Bayer, Sandra ; Drabsch, Theresa ; Schauberger, Gunther ; [et al.]

Cambridge University Press (CUP) ; 2021

In: Public Health Nutrition Vol. 24, No. 7 ( 2021-05), p. 1916-1926

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In: Public Health Nutrition, Cambridge University Press (CUP), Vol. 24, No. 7 ( 2021-05), p. 1916-1926

Abstract: To assess the knowledge, opinions and expectations of persons with and without obesity concerning personalised genotype-based nutrition. Design: Questions about nutrition, weight management and personalised genotype-based dietary recommendations were asked via standardised telephone-based interviews. Sociodemographic and anthropometric data were collected. The data were statistically weighted by age, gender, education, domicile and BMI. Setting: Germany. Participants: Representative sample of the German population ( n 1003) randomly sampled via a scientific Random Digit dial method plus 354 adults with a BMI ≥ 30·0 kg/m 2 to enlarge the sample. Results: Data of 1357 participants were analysed (51·1 % female, age: 50·5 ± 18·5 years, 15·9 % adults with a BMI ≥ 30·0 kg/m 2 ). About 42 % or 19 % of the survey participants stated to know the terms personalised dietary recommendation or genotype-based dietary recommendation, respectively. Of those, 15·8 % indicated to have an experience with a personalised or genotype-based dietary recommendation. Almost 70 % of the survey participants believed that a genotype-based dietary recommendation is a reasonable measure for weight management. About 55 % of the survey participants pointed out that a genotype-based dietary recommendation is an effective concept in general. One-third of the survey participants (34·6 %) indicated to conceive the usage of a genotype-based dietary recommendation. Conclusion: Most of the survey participants did not know the term personalised or genotype-based dietary recommendation. One-third of the study participants are interested to use a genotype-based dietary recommendation. Therefore, more education of the public is necessary to properly help people making informed and serious decisions and assessing commercially available direct-to-consumer genetic tests.

Type of Medium: Online Resource

ISSN: 1368-9800 , 1475-2727

URL: Article

DOI: 10.1017/S1368980020004152

Language: English

Publisher: Cambridge University Press (CUP)

Publication Date: 2021

detail.hit.zdb_id: 2016337-X

SSG: 21

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An audit of 1632 routinely collected cervical cancer screening smears from 398 women in Germany: Results from the TeQaZ Study

Tanaka, Luana F. ; Schoffer, Olaf ; Schriefer, Dirk ; [et al.]

Elsevier BV ; 2024

In: European Journal of Cancer Vol. 201 ( 2024-04), p. 113915-

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In: European Journal of Cancer, Elsevier BV, Vol. 201 ( 2024-04), p. 113915-

Type of Medium: Online Resource

ISSN: 0959-8049

URL: Article

DOI: 10.1016/j.ejca.2024.113915

RVK:

XA 42017.A

RVK:

XA 42017

Language: English

Publisher: Elsevier BV

Publication Date: 2024

detail.hit.zdb_id: 1120460-6

detail.hit.zdb_id: 1468190-0

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Physical Characteristics of Six New Thermocyclers

Schoder, Dagmar ; Schmalwieser, Alois ; Schauberger, Günther ; [et al.]

Oxford University Press (OUP) ; 2003

In: Clinical Chemistry Vol. 49, No. 6 ( 2003-06-01), p. 960-963

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In: Clinical Chemistry, Oxford University Press (OUP), Vol. 49, No. 6 ( 2003-06-01), p. 960-963

Type of Medium: Online Resource

ISSN: 0009-9147 , 1530-8561

URL: Article

DOI: 10.1373/49.6.960

Language: English

Publisher: Oxford University Press (OUP)

Publication Date: 2003

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AMMONIA DISPERSION FROM MULTI-FLOOR VERSUS STANDARD SINGLE-FLOOR PIG PRODUCTION FACILITIES BASED ON COMPUTATIONAL FLUID DYNAMICS SIMULATIONS

XIN, Yicong ; RONG, Li ; SCHAUBERGER, Gunther ; [et al.]

China Engineering Science Press Co. Ltd. ; 2023

In: Frontiers of Agricultural Science and Engineering Vol. 0, No. 0 ( 2023), p. 0-

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In: Frontiers of Agricultural Science and Engineering, China Engineering Science Press Co. Ltd., Vol. 0, No. 0 ( 2023), p. 0-

Type of Medium: Online Resource

ISSN: 2095-7505

URL: Article

DOI: 10.15302/J-FASE-2023501

Language: English

Publisher: China Engineering Science Press Co. Ltd.

Publication Date: 2023

detail.hit.zdb_id: 2822993-9

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Association between Habitual Diet and the Postprandial Glucose Response—An Enable Study

Reik, Anna ; Brandl, Beate ; Schauberger, Gunther ; [et al.]

Wiley ; 2022

In: Molecular Nutrition & Food Research Vol. 66, No. 16 ( 2022-08)

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In: Molecular Nutrition & Food Research, Wiley, Vol. 66, No. 16 ( 2022-08)

Abstract: It is inconclusive which factors influence inter‐individual variations of postprandial glucose response (PPGR). This study investigates whether the habitual diet is associated with PPGR. Methods and results Data from healthy adults (young adults with 18–25 years, middle‐aged adults with 40–65 years, and older adults with 75–85 years) is collected at baseline and during an oral glucose tolerance test (OGTT) collected. Habitual diet is assessed by a food frequency questionnaire and two 24‐h food lists. Associations between habitual diet and glucose incremental area under the curve (iAUC min ) are examined by regression models. The intake of cereals and cereal products is negatively associated with glucose iAUC min ( p = 0.002) in the total cohort ( N = 459, 50% women, 55 ± 21 years, BMI 26 ± 5 kg m − 2 ). Up to 9% of the variance in the glycemic response is explained by the respective dietary parameters identified in the models of the specific age groups. Conclusion There are age‐specific diet‐related effects on PPGR. The usual intake of cereals and cereal products seems to play a greater role in PPGR in more than one age group. Further research is needed, to establish how diet can be optimized based on age and PPGR.

Type of Medium: Online Resource

ISSN: 1613-4125 , 1613-4133

URL: Issue

URL: Article

DOI: 10.1002/mnfr.v66.16

DOI: 10.1002/mnfr.202200110

Language: English

Publisher: Wiley

Publication Date: 2022

detail.hit.zdb_id: 2160372-8

SSG: 12

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A systematic review of clinical health conditions predicted by machine learning diagnostic and prognostic models trained or validated using real-world primary health care data

Abdulazeem, Hebatullah ; Whitelaw, Sera ; Schauberger, Gunther ; [et al.]

Public Library of Science (PLoS) ; 2023

In: PLOS ONE Vol. 18, No. 9 ( 2023-9-8), p. e0274276-

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In: PLOS ONE, Public Library of Science (PLoS), Vol. 18, No. 9 ( 2023-9-8), p. e0274276-

Abstract: With the advances in technology and data science, machine learning (ML) is being rapidly adopted by the health care sector. However, there is a lack of literature addressing the health conditions targeted by the ML prediction models within primary health care (PHC) to date. To fill this gap in knowledge, we conducted a systematic review following the PRISMA guidelines to identify health conditions targeted by ML in PHC. We searched the Cochrane Library, Web of Science, PubMed, Elsevier, BioRxiv, Association of Computing Machinery (ACM), and IEEE Xplore databases for studies published from January 1990 to January 2022. We included primary studies addressing ML diagnostic or prognostic predictive models that were supplied completely or partially by real-world PHC data. Studies selection, data extraction, and risk of bias assessment using the prediction model study risk of bias assessment tool were performed by two investigators. Health conditions were categorized according to international classification of diseases (ICD-10). Extracted data were analyzed quantitatively. We identified 106 studies investigating 42 health conditions. These studies included 207 ML prediction models supplied by the PHC data of 24.2 million participants from 19 countries. We found that 92.4% of the studies were retrospective and 77.3% of the studies reported diagnostic predictive ML models. A majority (76.4%) of all the studies were for models’ development without conducting external validation. Risk of bias assessment revealed that 90.8% of the studies were of high or unclear risk of bias. The most frequently reported health conditions were diabetes mellitus (19.8%) and Alzheimer’s disease (11.3%). Our study provides a summary on the presently available ML prediction models within PHC. We draw the attention of digital health policy makers, ML models developer, and health care professionals for more future interdisciplinary research collaboration in this regard.

Type of Medium: Online Resource

ISSN: 1932-6203

URL: Article

DOI: 10.1371/journal.pone.0274276

DOI: 10.1371/journal.pone.0274276.g001

DOI: 10.1371/journal.pone.0274276.g002

DOI: 10.1371/journal.pone.0274276.g003

DOI: 10.1371/journal.pone.0274276.t001

DOI: 10.1371/journal.pone.0274276.t002

DOI: 10.1371/journal.pone.0274276.t003

DOI: 10.1371/journal.pone.0274276.t004

DOI: 10.1371/journal.pone.0274276.s001

DOI: 10.1371/journal.pone.0274276.s002

DOI: 10.1371/journal.pone.0274276.s003

DOI: 10.1371/journal.pone.0274276.s004

DOI: 10.1371/journal.pone.0274276.s005

DOI: 10.1371/journal.pone.0274276.s006

DOI: 10.1371/journal.pone.0274276.s007

DOI: 10.1371/journal.pone.0274276.s008

DOI: 10.1371/journal.pone.0274276.r001

DOI: 10.1371/journal.pone.0274276.r002

DOI: 10.1371/journal.pone.0274276.r003

DOI: 10.1371/journal.pone.0274276.r004

DOI: 10.1371/journal.pone.0274276.r005

DOI: 10.1371/journal.pone.0274276.r006

Language: English

Publisher: Public Library of Science (PLoS)

Publication Date: 2023

detail.hit.zdb_id: 2267670-3

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Survival and causes of death of European Roe Deer before and after Eurasian Lynx reintroduction in the Bavarian Forest National Park

Heurich, Marco ; Möst, Lisa ; Schauberger, Gunther ; [et al.]

Springer Science and Business Media LLC ; 2012

In: European Journal of Wildlife Research Vol. 58, No. 3 ( 2012-6), p. 567-578

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In: European Journal of Wildlife Research, Springer Science and Business Media LLC, Vol. 58, No. 3 ( 2012-6), p. 567-578

Type of Medium: Online Resource

ISSN: 1612-4642 , 1439-0574

URL: Article

DOI: 10.1007/s10344-011-0606-y

Language: English

Publisher: Springer Science and Business Media LLC

Publication Date: 2012

detail.hit.zdb_id: 2140087-8

SSG: 12

SSG: 23

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Analysis of the importance of on-field covariates in the German Bundesliga

Schauberger, Gunther ; Groll, Andreas ; Tutz, Gerhard

Informa UK Limited ; 2018

In: Journal of Applied Statistics Vol. 45, No. 9 ( 2018-07-04), p. 1561-1578

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In: Journal of Applied Statistics, Informa UK Limited, Vol. 45, No. 9 ( 2018-07-04), p. 1561-1578

Type of Medium: Online Resource

ISSN: 0266-4763 , 1360-0532

URL: Article

DOI: 10.1080/02664763.2017.1383370

Language: English

Publisher: Informa UK Limited

Publication Date: 2018

detail.hit.zdb_id: 1476802-1

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Subject-specific modelling of paired comparison data: A lasso-type penalty approach

Schauberger, Gunther ; Tutz, Gerhard

SAGE Publications ; 2017

In: Statistical Modelling Vol. 17, No. 3 ( 2017-06), p. 223-243

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In: Statistical Modelling, SAGE Publications, Vol. 17, No. 3 ( 2017-06), p. 223-243

Abstract: In traditional paired comparison models heterogeneity in the population is simply ignored and it is assumed that all persons or subjects have the same preference structure. In the models considered here the preference of an object over another object is explicitly modelled as depending on subject-specific covariates, therefore allowing for heterogeneity in the population. Since by construction the models contain a large number of parameters we propose to use penalized estimation procedures to obtain estimates of the parameters. The used regularized estimation approach penalizes the differences between the parameters corresponding to single covariates. It enforces variable selection and allows to find clusters of objects with respect to covariates. We consider simple binary but also ordinal paired comparisons models. The method is applied to data from a pre-election study from Germany.

Type of Medium: Online Resource

ISSN: 1471-082X , 1477-0342

URL: Article

DOI: 10.1177/1471082X17693086

Language: English

Publisher: SAGE Publications

Publication Date: 2017

detail.hit.zdb_id: 2053876-5

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