Zobrazeno 1 - 10
of 212
pro vyhledávání: '"Preventative treatment"'
Autor:
Gregory Y. H. Lip, Kumaran Subaschandren, Rajendra Surenthirakumaran, G. Neil Thomas, Semira Manaseki-Holland, Balachandran Kumarendran, Vethanayagam Antony Sheron, Krishnarajah Nirantharakumar, Powsiga Uruthirakumar, Tiffany E. Gooden, Mahesan Guruparan, Kanesamoorthy Shribavan
Publikováno v:
NIHR Open Research, Vol 3 (2024)
Background Early diagnosis and continuity of care is vital for atrial fibrillation (AF), to reduce stroke ; There is a lack of understanding of when and how AF is being diagnosed and managed the care pathway) in in low- and middle-income countries (L
Externí odkaz:
https://doaj.org/article/d9aa631626354ce19a38ff15e1457a6c
Akademický článek
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Autor:
A. G. Bragin
Publikováno v:
Alʹmanah Kliničeskoj Mediciny, Vol 47, Iss 7, Pp 614-622 (2019)
Epilepsy affects more than 70 million people worldwide. From 30 to 40% of the patients are resistant to existing medication. This paper describes the current state of the treatment of epilepsy and proposes a future approach to preventative treatment
Externí odkaz:
https://doaj.org/article/8e37862447ba40b5bbc27df9e7effd94
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
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Autor:
Monika Słowińska, Sergiusz Jóźwiak, Angela Peron, Julita Borkowska, Dariusz Chmielewski, Krzysztof Sadowski, Elżbieta Jurkiewicz, Aglaia Vignoli, Francesca La Briola, Maria Paola Canevini, Katarzyna Kotulska-Jóźwiak
Publikováno v:
Orphanet Journal of Rare Diseases, Vol 13, Iss 1, Pp 1-10 (2018)
Abstract Background Tuberous sclerosis complex (TSC) is a genetic disorder with an incidence of 1:6000 live births and associated with the development of benign tumors in several organs. It is also characterized by high rates of neurological and neur
Externí odkaz:
https://doaj.org/article/8616eb4e73db4a5485d92a3a798da1cb
Publikováno v:
Frontiers in Veterinary Science, Vol 6 (2019)
Increasing awareness of antibiotic resistance has correspondingly increased efforts to identify and reduce the causal behaviors that led to this severe public health threat. The consequences of these efforts are regulatory and market pressures limiti
Externí odkaz:
https://doaj.org/article/a029aef0497f4dc28cd7e709c92007a8
Autor:
Kistenmacher, Ann
This study explores the possible efficacy of a low carbohydrate and high fat nutritional intervention (LCHF) as a treatment possibility aiming to improve the ability of self-control and regulation in the context of carbohydrate-addiction. The study f
Externí odkaz:
http://hdl.handle.net/10500/24503
Publikováno v:
J Endourol
Objectives: To assess the accuracy of machine learning models in predicting kidney stone composition using variables extracted from the electronic health record (EHR). Materials and Methods: We identified kidney stone patients (n = 1296) with both st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fce621688d7951416d7385f622d42547
https://doi.org/10.1089/end.2021.0211
https://doi.org/10.1089/end.2021.0211
Autor:
Knežić, Veronika
Cluster glavobolja je najbolnija primarna glavobolja koja se ubraja u trigeminalne autonomne cefalgije (TAC). Karakterizirana je snažnim jednostranim napadajima koji se javljaju u nakupinama (tzv. klasterima) između kojih su razdoblja remisije. Nap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::265fe337fdab18856e6a2474f65ca8c2
https://repozitorij.pharma.unizg.hr/islandora/object/pharma:2694
https://repozitorij.pharma.unizg.hr/islandora/object/pharma:2694
Cardiovascular disease and all-cause mortality risk prediction from abdominal CT using deep learning
Publikováno v:
Medical Imaging 2022: Computer-Aided Diagnosis.
Cardiovascular disease is the number one cause of mortality worldwide. Risk prediction can help incentivize lifestyle changes and inform targeted preventative treatment. In this work we explore utilizing a convolutional neural network (CNN) to predic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43e7634220f489f06f442c28971da8ea
https://doi.org/10.1117/12.2612620
https://doi.org/10.1117/12.2612620