Explainable artificial intelligence model to predict acute critical illness from electronic health records

Autor: Simon Meyer Lauritsen, Mads Kristensen, Mathias Vassard Olsen, Morten Skaarup Larsen, Katrine Meyer Lauritsen, Marianne Johansson Jørgensen, Jeppe Lange, Bo Thiesson

Publikováno v: Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020)

Acute critical illness is often preceded by deterioration of routinely measured clinical parameters, e.g., blood pressure and heart rate. Here, the authors develop an explainable artificial intelligence early warning score system for its early detect

Externí odkaz: https://doaj.org/article/b6bf21b3f09e4e2ab17325dc1d6b1879

Explainable artificial intelligence model to predict acute critical illness from electronic health records

Autor: Bo Thiesson, Marianne Johansson Jørgensen, Mathias Vassard Olsen, Morten Skaarup Larsen, Simon Meyer Lauritsen, Mads Kristensen, Katrine Meyer Lauritsen, Jeppe Lange

Publikováno v: Lauritsen, S M, Kristensen, M, Olsen, M V, Larsen, M S, Lauritsen, K M, Jørgensen, M J, Lange, J & Thiesson, B 2020, ' Explainable artificial intelligence model to predict acute critical illness from electronic health records ', Nature Communications, vol. 11, 3852 . https://doi.org/10.1038/s41467-020-17431-x
Lauritsen, S M, Kristensen, M, Olsen, M V, Larsen, M S, Lauritsen, K M, Jørgensen, M J, Lange, J & Thiesson, B 2019, ' Explainable artificial intelligence model to predict acute critical illness from electronic health records ', arXiv .
Lauritsen, S M, Kristensen, M, Olsen, M V, Larsen, M S, Lauritsen, K M, Jørgensen, M J, Lange, J & Thiesson, B 2020, ' Explainable artificial intelligence model to predict acute critical illness from electronic health records ', Nature Communications, vol. 11, no. 1, 3852 . https://doi.org/10.1038/s41467-020-17431-x
Aarhus University
Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
Nature Communications

Acute critical illness is often preceded by deterioration of routinely measured clinical parameters, e.g., blood pressure and heart rate. Early clinical prediction is typically based on manually calculated screening metrics that simply weigh these pa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::888af5ed6602be114510d789d2b8cc79
http://arxiv.org/abs/1912.01266

Listening to the patients: using participatory design in the development of a cardiac telerehabilitation web portal

Autor: John H. L. Hansen, Katrine Joensson, Soeren Leth, Helle Spindler, Camilla Melholt, Mathias Vassard Olsen, Birthe Dinesen

Publikováno v: Joensson, K, Melholt, C, Hansen, J, Leth, S, Spindler, H, Olsen, M V & Dinesen, B 2019, ' Listening to the patients : using participatory design in the development of a cardiac telerehabilitation web portal ', mHealth, vol. 5, 33 . https://doi.org/10.21037/mhealth.2019.08.06

Background: Cardiovascular disease is the leading cause of all deaths worldwide. Cardiac rehabilitation is an effective approach for preventing secondary complications, but it remains a complex intervention because of the need for lifestyle changes.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14ea89dd39f38b67e2ed89a4b4269a4e
https://europepmc.org/articles/PMC6789193/

SHARQnet - Sophisticated harmonic artifact reduction in quantitative susceptibility mapping using a deep convolutional neural network

Autor: Kieran O'Brien, Amir Fazlollahi, Lasse Riis Østergaard, Mathias Vassard Olsen, Morten Skaarup Larsen, Mads Jozwiak Pedersen, Christian Langkammer, Matilde Holm Kristensen, Markus Barth, Steffen Bollmann

Publikováno v: Bollmann, S, Kristensen, M H, Larsen, M S, Olsen, M V, Pedersen, M J, Østergaard, L R, O'Brien, K, Langkammer, C, Fazlollahi, A & Barth, M 2019, ' SHARQnet-Sophisticated harmonic artifact reduction in quantitative susceptibility mapping using a deep convolutional neural network ', Medical Physics, vol. 29, no. 2, pp. 139-149 . https://doi.org/10.1016/j.zemedi.2019.01.001

Quantitative susceptibility mapping (QSM) reveals pathological changes in widespread diseases such as Parkinson’s disease, Multiple Sclerosis, or hepatic iron overload. QSM requires multiple processing steps after the acquisition of magnetic resona

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::003376062138bf89e8b3eafb58d2b2aa
https://vbn.aau.dk/da/publications/bcc87912-a88a-4e1d-b74c-333ca357e474

Cooling can reduce the perception threshold for small sensory peripheral neurons in humans

Autor: Jenny Tigerholm, Rosa Hugosdottir, Cecilia Klitgaard Jørgensen, Camilla Winther Nielsen, Mathias Vassard Olsen, Mads Jozwiak Pedersen, Carsten Dahl Mørch

Publikováno v: Aalborg University
Tigerholm, J, Hugosdottir, R, Jørgensen, C K, Nielsen, C W, Olsen, M V, Pedersen, M J & Mørch, C D 2018, ' Cooling can reduce the perception threshold for small sensory peripheral neurons in humans ', 17th World Congress on Pain, IASP 2018, Boston, MA, United States, 12/09/2018-16/09/2018 . < https://webmobile.experientengage.com/~wcp181/#/eventItem/63715 >

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5c4de86f8b06cdc99f88793b4ffe90ec
https://vbn.aau.dk/en/publications/73e46e4e-251e-4fc2-b089-9eb93da32909