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of 31
pro vyhledávání: '"Lahti, Lauri"'
Autor:
Lahti, Lauri
We propose and experimentally motivate a new methodology to support decision-making processes in healthcare with artificial intelligence based on personal rankings of care decision making steps that can be identified with our methodology, questionnai
Externí odkaz:
http://arxiv.org/abs/2205.07881
Autor:
Lahti, Lauri
Developing machine learning models to support health analytics requires increased understanding about statistical properties of self-rated expression statements. We analyzed self-rated expression statements concerning the coronavirus COVID-19 epidemi
Externí odkaz:
http://arxiv.org/abs/2012.13626
Autor:
Lahti, Lauri, Tenhunen, Henni, Heinonen, Seppo, Helkavaara, Minna, Pöyhönen-Alho, Maritta, Torkki, Paulus
We propose new computational models for analyzing self-reported emotional diary texts of pregnant women to support maternal care. We gathered affective ratings outside clinical setting and developed new models to facilitate interpretation and communi
Externí odkaz:
http://arxiv.org/abs/1710.04158
Autor:
Abouelezz, Amr, Stefen, Holly, Segerstråle, Mikael, Micinski, David, Minkeviciene, Rimante, Lahti, Lauri, Hardeman, Edna C., Gunning, Peter W., Hoogenraad, Casper C., Taira, Tomi, Fath, Thomas, Hotulainen, Pirta
Publikováno v:
In iScience 22 May 2020 23(5)
Autor:
Lahti, Lauri1 (AUTHOR) lauri.lahti@aalto.fi
Publikováno v:
BMC Medical Research Methodology. 3/6/2022, Vol. 22 Issue 1, p1-28. 28p.
Akademický článek
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Autor:
Lahti, Lauri
We propose a new research methodology that develops ethical and transparent artificial intelligence algorithms to support decision making in healthcare. This development relies on a diverse statistical and data analysis methodology based on real-life
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______661::bafbebdaec4fdb9e60723a1482bc7267
https://aaltodoc.aalto.fi/handle/123456789/115565
https://aaltodoc.aalto.fi/handle/123456789/115565
Akademický článek
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Patient experience is an emerging concept that supports the improvement of healthcare services through identified patient expectations and experiences. In addition to structured feedback through official channels, experiences about healthcare appear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______661::c77eb7d9dc39ab9d04b3cb38edddedab
https://aaltodoc.aalto.fi/handle/123456789/35371
https://aaltodoc.aalto.fi/handle/123456789/35371