Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Lukas De Clercq"'
Autor:
Ralf E Harskamp, Wim A M Lucassen, Jelle C L Himmelreich, Luuk Bekker, Lukas De Clercq, Evert P M Karregat, Mengalvio E Sleeswijk
Publikováno v:
BMJ Open Respiratory Research, Vol 8, Iss 1 (2021)
Externí odkaz:
https://doaj.org/article/7ffb733529e0488ea5db83b759573c91
Autor:
Amy Manten, Remco P Rietveld, Lukas de Clercq, Inge van Hulst, Wim A M Lucassen, Eric P Moll van Charante, Ralf E Harskamp
Publikováno v:
Family practice, 40(1), 23-29. Oxford University Press
Background Telephone triage is fully integrated in Dutch out-of-hours primary care (OOH-PC). Patients presenting with chest pain are initially assessed according to a standardized protocol (“Netherlands Triage Standard” [NTS]). Nevertheless, litt
Autor:
Ralf E. Harskamp, Lukas De Clercq
BackgroundIt is thought that ChatGPT, an advanced language model developed by OpenAI, may in the future serve as an AI-assisted decision support tool in medicine.ObjectiveTo evaluate the accuracy of ChatGPT’s recommendations on medical questions re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40961f74bb369c084f270115251f0db3
https://doi.org/10.1101/2023.03.25.23285475
https://doi.org/10.1101/2023.03.25.23285475
Autor:
Lukas De Clercq, Martijn C Schut, Patrick M M Bossuyt, Henk C P M van Weert, M Louis Handoko, Ralf E Harskamp
Publikováno v:
Family Practice, 40(1), 188-194. Oxford University Press
de Clercq, L, Schut, M C, Bossuyt, P M M, van Weert, H C P M, Handoko, M L & Harskamp, R E 2023, ' TARGET-HF : developing a model for detecting incident heart failure among symptomatic patients in general practice using routine health care data ', Family Practice, vol. 40, no. 1, pp. 188-194 . https://doi.org/10.1093/fampra/cmac069
Family practice, 40(1), 188-194. Oxford University Press
de Clercq, L, Schut, M C, Bossuyt, P M M, van Weert, H C P M, Handoko, M L & Harskamp, R E 2023, ' TARGET-HF : developing a model for detecting incident heart failure among symptomatic patients in general practice using routine health care data ', Family Practice, vol. 40, no. 1, pp. 188-194 . https://doi.org/10.1093/fampra/cmac069
Family practice, 40(1), 188-194. Oxford University Press
Background Timely diagnosis of heart failure (HF) is essential to optimize treatment opportunities that improve symptoms, quality of life, and survival. While most patients consult their general practitioner (GP) prior to HF, the early stages of HF m
Publikováno v:
DSW
We present a stochastic, limited-memory Broyden Fletcher Goldfarb Shanno (LBFGS) algorithm that is suitable for handling very large amounts of data. A direct application of this algorithm is radio interferometric calibration of raw data at fine time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4699366164db3b229e9b90364027c69