Articles | Volume 22, issue 9
https://doi.org/10.5194/nhess-22-3015-2022
https://doi.org/10.5194/nhess-22-3015-2022
Research article
 | 
16 Sep 2022
Research article |  | 16 Sep 2022

Machine learning models to predict myocardial infarctions from past climatic and environmental conditions

Lennart Marien, Mahyar Valizadeh, Wolfgang zu Castell, Christine Nam, Diana Rechid, Alexandra Schneider, Christine Meisinger, Jakob Linseisen, Kathrin Wolf, and Laurens M. Bouwer

Related authors

REMO2020: a modernized modular regional climate model
Joni-Pekka Pietikäinen, Kevin Sieck, Lars Buntemeyer, Thomas Frisius, Christine Nam, Peter Hoffmann, Christina Pop, Diana Rechid, and Daniela Jacob
EGUsphere, https://doi.org/10.5194/egusphere-2025-1586,https://doi.org/10.5194/egusphere-2025-1586, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
Impacts on and damage to European forests from the 2018–2022 heat and drought events
Florian Knutzen, Paul Averbeck, Caterina Barrasso, Laurens M. Bouwer, Barry Gardiner, José M. Grünzweig, Sabine Hänel, Karsten Haustein, Marius Rohde Johannessen, Stefan Kollet, Mortimer M. Müller, Joni-Pekka Pietikäinen, Karolina Pietras-Couffignal, Joaquim G. Pinto, Diana Rechid, Efi Rousi, Ana Russo, Laura Suarez-Gutierrez, Sarah Veit, Julian Wendler, Elena Xoplaki, and Daniel Gliksman
Nat. Hazards Earth Syst. Sci., 25, 77–117, https://doi.org/10.5194/nhess-25-77-2025,https://doi.org/10.5194/nhess-25-77-2025, 2025
Short summary
Extrapolation is not enough: impacts of extreme land use change on wind profiles and wind energy according to regional climate models
Jan Wohland, Peter Hoffmann, Daniela C. A. Lima, Marcus Breil, Olivier Asselin, and Diana Rechid
Earth Syst. Dynam., 15, 1385–1400, https://doi.org/10.5194/esd-15-1385-2024,https://doi.org/10.5194/esd-15-1385-2024, 2024
Short summary
Infilling of Missing Rainfall Radar Data with a Memory-Assisted Deep Learning Approach
Johannes Meuer, Laurens M. Bouwer, Frank Kaspar, Roman Lehmann, Wolfgang Karl, Thomas Ludwig, and Christopher Kadow
EGUsphere, https://doi.org/10.5194/egusphere-2024-1392,https://doi.org/10.5194/egusphere-2024-1392, 2024
Short summary
Modeling and evaluating the effects of irrigation on land–atmosphere interaction in southwestern Europe with the regional climate model REMO2020–iMOVE using a newly developed parameterization
Christina Asmus, Peter Hoffmann, Joni-Pekka Pietikäinen, Jürgen Böhner, and Diana Rechid
Geosci. Model Dev., 16, 7311–7337, https://doi.org/10.5194/gmd-16-7311-2023,https://doi.org/10.5194/gmd-16-7311-2023, 2023
Short summary

Related subject area

Risk Assessment, Mitigation and Adaptation Strategies, Socioeconomic and Management Aspects
Unravelling the capacity–action gap in flood risk adaptation
Annika Schubert, Anne von Streit, and Matthias Garschagen
Nat. Hazards Earth Syst. Sci., 25, 1621–1653, https://doi.org/10.5194/nhess-25-1621-2025,https://doi.org/10.5194/nhess-25-1621-2025, 2025
Short summary
Mapping vulnerability to climate change for spatial planning in the region of Stuttgart
Joanna M. McMillan, Franziska Göttsche, Joern Birkmann, Rainer Kapp, Corinna Schmidt, Britta Weisser, and Ali Jamshed
Nat. Hazards Earth Syst. Sci., 25, 1573–1596, https://doi.org/10.5194/nhess-25-1573-2025,https://doi.org/10.5194/nhess-25-1573-2025, 2025
Short summary
Assessing the impact of early warning and evacuation on human losses during the 2021 Ahr Valley flood in Germany using agent-based modelling
André Felipe Rocha Silva, Julian Cardoso Eleutério, Heiko Apel, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 25, 1501–1520, https://doi.org/10.5194/nhess-25-1501-2025,https://doi.org/10.5194/nhess-25-1501-2025, 2025
Short summary
Modeling Regional Production Capacity Loss Rates Considering Response Bias: Insights from a Questionnaire Survey on Zhengzhou Flood
Lijiao Yang, Yan Luo, Zilong Li, and Xinyu Jiang
EGUsphere, https://doi.org/10.5194/egusphere-2024-3923,https://doi.org/10.5194/egusphere-2024-3923, 2025
Short summary
Adaptive behavior of farmers under consecutive droughts results in more vulnerable farmers: a large-scale agent-based modeling analysis in the Bhima basin, India
Maurice W. M. L. Kalthof, Jens de Bruijn, Hans de Moel, Heidi Kreibich, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 25, 1013–1035, https://doi.org/10.5194/nhess-25-1013-2025,https://doi.org/10.5194/nhess-25-1013-2025, 2025
Short summary

Cited articles

Achebak, H., Devolder, D., and Ballester, J.: Trends in temperature-related age-specific and sex-specific mortality from cardiovascular diseases in Spain: a national time-series analysis, Lancet Planet. Health, 3, e297–e306, https://doi.org/10.1016/S2542-5196(19)30090-7, 2019. a
Armstrong, B.: Models for the Relationship Between Ambient Temperature and Daily Mortality, Epidemiology, 17, 624–631, https://doi.org/10.1097/01.ede.0000239732.50999.8f, 2006. a
Ban, N., Caillaud, C., Coppola, E., et al.: The first multi-model ensemble of regional climate simulations at kilometer-scale resolution, part I: evaluation of precipitation, Clim. Dynam., 57, 275–302, https://doi.org/10.1007/s00382-021-05708-w, 2021. a
Bayerische Landesamt für Umwelt: Lufthygienische Landesüberwachungssystem Bayern (LÜB), https://www.lfu.bayern.de/luft/immissionsmessungen/messwertarchiv/index.htm, last access: 4 September 2022a. a, b, c, d, e, f
Bayerisches Landesamt für Statistik: GENESIS Datenbank, https://www.statistikdaten.bayern.de/genesis/online/, last access: 4 September 2022. a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s
Download
Short summary
Myocardial infarctions (MIs; heart attacks) are influenced by temperature extremes, air pollution, lack of green spaces and ageing population. Here, we apply machine learning (ML) models in order to estimate the influence of various environmental and demographic risk factors. The resulting ML models can accurately reproduce observed annual variability in MI and inter-annual trends. The models allow quantification of the importance of individual factors and can be used to project future risk.
Share
Altmetrics
Final-revised paper
Preprint