Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Alphons Eggerth"'
Publikováno v:
British Journal of Clinical Pharmacology
Life expectancy is rising in most parts of the world as is the prevalence of chronic diseases. Suboptimal adherence to long-term medications is still rather the norm than the exception, although it is well known that suboptimal adherence compromises
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03c01ab848be9b1f61d548ca1c0f327d
https://doi.org/10.1111/bcp.14045
https://doi.org/10.1111/bcp.14045
Autor:
Alphons Eggerth, B. Pfeifer, Dieter Hayn, Sten Hanke, Karl Kreiner, Tim Egelseer-Bründl, Günter Schreier, Gerhard Pölzl, Fabian Wiesmuller
Publikováno v:
CinC
Heart failure (HF) is one of the biggest concerns for health care systems in developed countries. To support the long-term treatment of HF patients, the Austrian Institute of Technology implemented a HF telehealth network called “HerzMobil”. Whil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10b9a4825f2a5192e9c8675d9d661c7c
https://doi.org/10.22489/cinc.2020.186
https://doi.org/10.22489/cinc.2020.186
Autor:
Karl Mayr, Markus Falgenhauer, Michael Porodko, Christoph Puelacher, Mahdi Sareban, Josef Niebauer, Angelika Rzepka, Marco Philippi, Stefan Höfer, Heimo Traninger, Dieter Hayn, Alphons Eggerth
Publikováno v:
CinC
Cardiovascular diseases (CVD) are the leading cause of death in the Western world. Several modifiable risk factors contribute to the pathogenesis of CVD which are all addressed during cardiac rehabilitation (CR). CR is conducted in three phases: I: a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::493ce068e4d9bbec94477a105706da92
https://doi.org/10.22489/cinc.2020.150
https://doi.org/10.22489/cinc.2020.150
Publikováno v:
Studies in health technology and informatics. 271
Machine Learning research and its application have gained enormous relevance in recent years. Their usage in medical settings could support patients, increase patient safety and assist health professionals in various tasks. However, medical data is o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::608f378e3756b6b414fa116649c165d0
https://pubmed.ncbi.nlm.nih.gov/32578570
https://pubmed.ncbi.nlm.nih.gov/32578570
Autor:
Alphons, Eggerth, Karl, Kreiner, Dieter, Hayn, Bernhard, Pfeifer, Gerhard, Pölzl, Tim, Egelseer-Bründl, Günter, Schreier
Publikováno v:
Studies in health technology and informatics. 270
Heart Failure is a severe chronic disease of the heart. Telehealth networks implement closed-loop healthcare paradigms for optimal treatment of the patients. For comprehensive documentation of medication treatment, health professionals create free te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::f0695c4f748f5533bc6f2dc238d25169
https://pubmed.ncbi.nlm.nih.gov/32570485
https://pubmed.ncbi.nlm.nih.gov/32570485
Autor:
Diether Kramer, Günter Schreier, Martin Kropf, Sai Veeranki, Dieter Hayn, Karl Kreiner, Alphons Eggerth
Publikováno v:
it - Information Technology. 60:183-194
Due to an ever-increasing amount of data generated in healthcare each day, healthcare professionals are more and more challenged with information. Predictive models based on machine learning algorithms can help to quickly identify patterns in clinica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1232fc165d0917dd7f8df94b8d2b4fc
https://doi.org/10.1515/itit-2018-0004
https://doi.org/10.1515/itit-2018-0004
Autor:
Sai Pavan Kumar, Veeranki, Diether, Kramer, Dieter, Hayn, Stefanie, Jauk, Alphons, Eggerth, Franz, Quehenberger, Werner, Leodolter, Günter, Schreier
Publikováno v:
Studies in health technology and informatics. 260
Adoption of electronic medical records in hospitals generates a large amount of data. Health care professionals can easily lose their sight on the important insights of the patients' clinical and medical history. Although machine learning algorithms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::64123ca9925a79ef9c66effd916ba94e
https://pubmed.ncbi.nlm.nih.gov/31118336
https://pubmed.ncbi.nlm.nih.gov/31118336
Publikováno v:
Studies in health technology and informatics. 260
Predictive modelling is becoming increasingly important in the healthcare sector. A comprehensive understanding of obtained models and their predictions is indispensable for the development and later acceptance of such systems.A general concept of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::0659322fef0450160d33bb2b70db81c9
https://pubmed.ncbi.nlm.nih.gov/31118343
https://pubmed.ncbi.nlm.nih.gov/31118343
Publikováno v:
Studies in health technology and informatics. 255
Unplanned hospital readmissions are a burden to the healthcare system and to the patients. To lower the readmission rates, machine learning approaches can be used to create predictive models, with the intention to provide actionable information for c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::62d59a8c22f94832a1825721b6985d7f
https://pubmed.ncbi.nlm.nih.gov/30306903
https://pubmed.ncbi.nlm.nih.gov/30306903
Autor:
Sai, Veeranki, Dieter, Hayn, Alphons, Eggerth, Stefanie, Jauk, Diether, Kramer, Werner, Leodolter, Günter, Schreier
Publikováno v:
Studies in health technology and informatics. 251
Digitalisation of health care for the purpose of medical documentation lead to huge amounts of data, hence having an opportunity to derive knowledge and associations of different attributes recorded. Many health care events can be prevented when iden
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::b08691fefdf03fc8edbbe71425c6337a
https://pubmed.ncbi.nlm.nih.gov/29968611
https://pubmed.ncbi.nlm.nih.gov/29968611