Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Satu Tamminen"'
Autor:
Anusha Ihalapathirana, Konstantina Chalkou, Pekka Siirtola, Satu Tamminen, Gunjan Chandra, Pascal Benkert, Jens Kuhle, Georgia Salanti, Juha Röning
Publikováno v:
Informatics in Medicine Unlocked, Vol 42, Iss , Pp 101349- (2023)
Artificial intelligence (AI) is increasingly being used to improve patient care and management. In this paper, we propose explainable AI (XAI) models for predicting severe hypoglycemia (SH) and diabetic ketoacidosis (DKA) episodes in adults with type
Externí odkaz:
https://doaj.org/article/7f195375cdf64be5aa582f9f95e02d8e
Publikováno v:
Sensors, Vol 23, Iss 3, p 1598 (2023)
This study aims to predict emotions using biosignals collected via wrist-worn sensor and evaluate the performance of different prediction models. Two dimensions of emotions were considered: valence and arousal. The data collected by the sensor were u
Externí odkaz:
https://doaj.org/article/a54730aef25e4edc916ca9d4040fc6ba
Publikováno v:
Data, Vol 7, Iss 12, p 178 (2022)
Clinical data analysis could lead to breakthroughs. However, clinical data contain sensitive information about participants that could be utilized for unethical activities, such as blackmailing, identity theft, mass surveillance, or social engineerin
Externí odkaz:
https://doaj.org/article/1116db97bfbd45fcaab7ee5bd47bdb76
Publikováno v:
Applied Sciences, Vol 11, Iss 22, p 10897 (2021)
This article demonstrates the use of data mining methods for evidence-based smart decision support in quality control. The data were collected in a measurement campaign which provided a new and potential quality measurement approach for manufacturing
Externí odkaz:
https://doaj.org/article/5c3d51f894944326a7a553709b4a204f
Autor:
Ekaterina Gilman, Satu Tamminen, Rumana Yasmin, Eemeli Ristimella, Ella Peltonen, Markus Harju, Lauri Lovén, Jukka Riekki, Susanna Pirttikangas
Publikováno v:
Sensors, Vol 20, Iss 13, p 3716 (2020)
Advances in technology and data analysis provide rich opportunities for developing intelligent environments assisting their inhabitants, so-called smart environments or smart spaces. Enhanced with technology, sensors, user interfaces, and various app
Externí odkaz:
https://doaj.org/article/c9d6b649f8f04a8fa9fdeab9d86b2036
Autor:
Gianluca Rizzo, Alberto Franzin, Miia Lillstrang, Guillermo del Campo, Moisés Silva-Muñoz, Lluc Bono, Mina Aghaei Dinani, Xiaoli Liu, Joonas Tuutijärvi, Satu Tamminen, Edgar Saavedra, Asuncion Santamaria, Xiang Su, Juha Röning
Publikováno v:
Advanced Information Networking and Applications ISBN: 9783031284502
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ed4cdf93e8ffa701217c4e49d03047a
https://doi.org/10.1007/978-3-031-28451-9_3
https://doi.org/10.1007/978-3-031-28451-9_3
Autor:
Tuomas Alatarvas, Satu Tamminen, Anna-Mari Wartiainen, Markus Harju, Juha Röning, Leena Määttä
Publikováno v:
Open Engineering, Vol 10, Iss 1, Pp 642-648 (2020)
Non-metallic inclusions, especially large or clustered inclusions, in steel are usually harmful. Thus, the microscopic analysis of test specimens is an important part of the quality control. This steel purity analysis produces a large amount of indiv
Publikováno v:
Data; Volume 7; Issue 12; Pages: 178
Clinical data analysis could lead to breakthroughs. However, clinical data contain sensitive information about participants that could be utilized for unethical activities, such as blackmailing, identity theft, mass surveillance, or social engineerin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81ea91426eefa7c8baa71805d58f5ce1
http://urn.fi/urn:nbn:fi-fe2023061656086
http://urn.fi/urn:nbn:fi-fe2023061656086
Autor:
Oana, Stoicescu, Eija, Ferreira, Satu, Tamminen, Pekka, Siirtola, Gunjan, Chandra, Riitta, Veijola, Juha, Röning
Publikováno v:
Studies in health technology and informatics. 281
Analyzing clinical data comes with many challenges. Medical expertise combined with statistical and programming knowledge must go hand-in-hand when applying data mining methods on clinical datasets. This work aims at bridging the gap between clinical
Autor:
Juha Röning, Pekka Siirtola, Eija Ferreira, Satu Tamminen, Gunjan Chandra, Oana Stoicescu, Riitta Veijola
Publikováno v:
MIE
Studies in Health Technology and Informatics
Studies in Health Technology and Informatics-Public Health and Informatics
Public Health and Informatics
Studies in Health Technology and Informatics
Studies in Health Technology and Informatics-Public Health and Informatics
Public Health and Informatics
Analyzing clinical data comes with many challenges. Medical expertise combined with statistical and programming knowledge must go hand-in-hand when applying data mining methods on clinical datasets. This work aims at bridging the gap between clinical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7353e6866f77ce9767dc10568cff41fb
https://doi.org/10.3233/shti210162
https://doi.org/10.3233/shti210162