Using machine learning to predict subsequent events after EMS non-conveyance decisions

Autor: Jani Paulin, Akseli Reunamo, Jouni Kurola, Hans Moen, Sanna Salanterä, Heikki Riihimäki, Tero Vesanen, Mari Koivisto, Timo Iirola

Publikováno v: BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-12 (2022)

Abstract Background Predictors of subsequent events after Emergency Medical Services (EMS) non-conveyance decisions are still unclear, though patient safety is the priority in prehospital emergency care. The aim of this study was to find out whether

Externí odkaz: https://doaj.org/article/ff90fc514ca441bfb566c39704cfd5f0

Changing role of EMS –analyses of non-conveyed and conveyed patients in Finland

Autor: Jani Paulin, Jouni Kurola, Sanna Salanterä, Hans Moen, Nischal Guragain, Mari Koivisto, Niina Käyhkö, Venla Aaltonen, Timo Iirola

Publikováno v: Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, Vol 28, Iss 1, Pp 1-14 (2020)

Abstract Background Emergency Medical Services (EMS) and Emergency Departments (ED) have seen increasing attendance rates in the last decades. Currently, EMS are increasingly assessing and treating patients without the need to convey patients to heal

Externí odkaz: https://doaj.org/article/eefa0cdefa5b4418908568cfb21d0744

The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

Autor: Naihui Zhou, Yuxiang Jiang, Timothy R. Bergquist, Alexandra J. Lee, Balint Z. Kacsoh, Alex W. Crocker, Kimberley A. Lewis, George Georghiou, Huy N. Nguyen, Md Nafiz Hamid, Larry Davis, Tunca Dogan, Volkan Atalay, Ahmet S. Rifaioglu, Alperen Dalkıran, Rengul Cetin Atalay, Chengxin Zhang, Rebecca L. Hurto, Peter L. Freddolino, Yang Zhang, Prajwal Bhat, Fran Supek, José M. Fernández, Branislava Gemovic, Vladimir R. Perovic, Radoslav S. Davidović, Neven Sumonja, Nevena Veljkovic, Ehsaneddin Asgari, Mohammad R.K. Mofrad, Giuseppe Profiti, Castrense Savojardo, Pier Luigi Martelli, Rita Casadio, Florian Boecker, Heiko Schoof, Indika Kahanda, Natalie Thurlby, Alice C. McHardy, Alexandre Renaux, Rabie Saidi, Julian Gough, Alex A. Freitas, Magdalena Antczak, Fabio Fabris, Mark N. Wass, Jie Hou, Jianlin Cheng, Zheng Wang, Alfonso E. Romero, Alberto Paccanaro, Haixuan Yang, Tatyana Goldberg, Chenguang Zhao, Liisa Holm, Petri Törönen, Alan J. Medlar, Elaine Zosa, Itamar Borukhov, Ilya Novikov, Angela Wilkins, Olivier Lichtarge, Po-Han Chi, Wei-Cheng Tseng, Michal Linial, Peter W. Rose, Christophe Dessimoz, Vedrana Vidulin, Saso Dzeroski, Ian Sillitoe, Sayoni Das, Jonathan Gill Lees, David T. Jones, Cen Wan, Domenico Cozzetto, Rui Fa, Mateo Torres, Alex Warwick Vesztrocy, Jose Manuel Rodriguez, Michael L. Tress, Marco Frasca, Marco Notaro, Giuliano Grossi, Alessandro Petrini, Matteo Re, Giorgio Valentini, Marco Mesiti, Daniel B. Roche, Jonas Reeb, David W. Ritchie, Sabeur Aridhi, Seyed Ziaeddin Alborzi, Marie-Dominique Devignes, Da Chen Emily Koo, Richard Bonneau, Vladimir Gligorijević, Meet Barot, Hai Fang, Stefano Toppo, Enrico Lavezzo, Marco Falda, Michele Berselli, Silvio C.E. Tosatto, Marco Carraro, Damiano Piovesan, Hafeez Ur Rehman, Qizhong Mao, Shanshan Zhang, Slobodan Vucetic, Gage S. Black, Dane Jo, Erica Suh, Jonathan B. Dayton, Dallas J. Larsen, Ashton R. Omdahl, Liam J. McGuffin, Danielle A. Brackenridge, Patricia C. Babbitt, Jeffrey M. Yunes, Paolo Fontana, Feng Zhang, Shanfeng Zhu, Ronghui You, Zihan Zhang, Suyang Dai, Shuwei Yao, Weidong Tian, Renzhi Cao, Caleb Chandler, Miguel Amezola, Devon Johnson, Jia-Ming Chang, Wen-Hung Liao, Yi-Wei Liu, Stefano Pascarelli, Yotam Frank, Robert Hoehndorf, Maxat Kulmanov, Imane Boudellioua, Gianfranco Politano, Stefano Di Carlo, Alfredo Benso, Kai Hakala, Filip Ginter, Farrokh Mehryary, Suwisa Kaewphan, Jari Björne, Hans Moen, Martti E.E. Tolvanen, Tapio Salakoski, Daisuke Kihara, Aashish Jain, Tomislav Šmuc, Adrian Altenhoff, Asa Ben-Hur, Burkhard Rost, Steven E. Brenner, Christine A. Orengo, Constance J. Jeffery, Giovanni Bosco, Deborah A. Hogan, Maria J. Martin, Claire O’Donovan, Sean D. Mooney, Casey S. Greene, Predrag Radivojac, Iddo Friedberg

Publikováno v: Genome Biology, Vol 20, Iss 1, Pp 1-23 (2019)

Abstract Background The Critical Assessment of Functional Annotation (CAFA) is an ongoing, global, community-driven effort to evaluate and improve the computational annotation of protein function. Results Here, we report on the results of the third C

Externí odkaz: https://doaj.org/article/4c2b017b155b41ceab8d6d078186cafa

Electronic Health Records as Information Source in Assessment of the Effectiveness of Delivered Care – A Pilot Study

Autor: Hanna Von Gerich, Hans Moen, Laura-Maria Peltonen

Publikováno v: Caring is Sharing – Exploiting the Value in Data for Health and Innovation ISBN: 9781643683881

Effectiveness is a key element of high quality health services. The aim of this pilot study was to explore the potential of electronic health records (EHR) as an information source for assessing the effectiveness of nursing care by investigating the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c7c7d4c61cc663d6383f32359ec92ceb
https://doi.org/10.3233/shti230132

Towards Automated Screening of Literature on Artificial Intelligence in Nursing

Autor: Hans, Moen, Dari, Alhuwail, Jari, Björne, Lori, Block, Sven, Celin, Eunjoo, Jeon, Karl, Kreiner, James, Mitchell, Gabriela, Ožegović, Charlene Esteban, Ronquillo, Lydia, Sequeira, Jude, Tayaben, Maxim, Topaz, Sai Pavan Kumar, Veeranki, Laura-Maria, Peltonen

Publikováno v: Studies in health technology and informatics. 290

We evaluate the performance of multiple text classification methods used to automate the screening of article abstracts in terms of their relevance to a topic of interest. The aim is to develop a system that can be first trained on a set of manually

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::04237c3578a4e57ff1e177c0769e310c
https://pubmed.ncbi.nlm.nih.gov/35673094