A5074897399- Chronic Disease Management Strategies
- Diabetes Management and Research
- HIV/AIDS Research and Interventions
- Reproductive tract infections research
- Health Systems, Economic Evaluations, Quality of Life
- Adolescent Sexual and Reproductive Health
- Health and Medical Studies
- Artificial Intelligence in Healthcare
- Cardiovascular Function and Risk Factors
- Diet and metabolism studies
- Diabetes Management and Education
- Medication Adherence and Compliance
- Quality and Safety in Healthcare
- Heart Failure Treatment and Management
- Neonatal Respiratory Health Research
- Diabetes Treatment and Management
- Health and Well-being Studies
- Mobile Health and mHealth Applications
- Healthcare Technology and Patient Monitoring
- demographic modeling and climate adaptation
- Diet, Metabolism, and Disease
- Bioinformatics and Genomic Networks
- Digital Mental Health Interventions
- Machine Learning in Healthcare
- Amino Acid Enzymes and Metabolism
Heilbronn University
2015-2021
University College London
2018
There has been legitimate criticism with regard to the quality and transparency of health economic modelling studies. For that reason, aim PROSIT Disease Modelling Community is develop transparent open source disease models for diabetes mellitus. Results: Markov type were developed in spread sheet software OpenOffice Calc myocardial infarction, stroke, retinopathy, nephropathy, diabetic foot syndrome, hypoglycemia. The basic concept describe a as cascade states transitions between them....
Structural uncertainty can affect model-based economic simulation estimates and study conclusions. Unfortunately, unlike parameter uncertainty, relatively little is known about its magnitude of impact on life-years (LYs) quality-adjusted (QALYs) in modeling diabetes. We leveraged the Mount Hood Diabetes Challenge Network, a biennial conference attended by international diabetes groups, to assess structural simulating QALYs type 2 models.Eleven groups participated 9th Challenge. Modeling...
Survival time prediction at the of diagnosis is great importance to make decisions about treatment and long-term follow-up care. However, predicting outcome cancer on basis clinical information a challenging task. We now examined ability ten different data mining algorithms (Perceptron, Rule Induction, Support Vector Machine, Linear Regression, Naïve Bayes, Decision Tree, k-nearest Neighbor, Logistic Neural Network, Random Forest) predict dichotomous attribute...
Die Diabeteserkrankung währt länger, als klinische Studien beobachten können. Daher werden zur Abschätzung zukünftiger medizinischer Folgen und Kosten Simulationsmodelle eingesetzt. Das Herzinfarktmodell "PROSIT_CHD_Type_2_Diabetes_Disease_Model_2016B_Germany_RC2" ist ein solches gesundheitsökonomisches Erkrankungsmodell, aber rechnet es richtig? Simulation des Diabetesverlaufs soll den aktuellen Stand der Forschung korrekt medizinisch abstrahieren mathematisch genau modellieren. Ergebnisse...
Introduction: Chlamydia is a very common bacterial sexual transmitted infection (STI) among young adults. High numbers of asymptomatic cases hamper timely treatment start, whereas the itself efficient and cheap. Proactive screening can decrease this mismatch. There are many models which able to evaluate simulate different options. Most them though based on old or insufficient data, not accessible for everybody, designed in user-friendly way. Aim: We want determine feasibility developing an...
Das PDM-ProValue Studienprogramm untersuchte die Wirksamkeit eines strukturierten, IT-gestützten und personalisierten ambulanten Versorgungsprozesses (iPDM, integriertes Personalisiertes Diabetes Management) bei insulinbehandelten Menschen mit Typ 2 Diabetes. Es zeigte u.a. eine Verbesserung der glykämischen Kontrolle (HbA1c) weiterer Parameter. Erkrankungsmodelle integrieren das bekannte Wissen über beeinflussbare unveränderliche Einflussfaktoren können gegen Ergebnisse Diabetesversorgung...
<h3>Background</h3> HIV and other sexually transmitted infections (STIs) do not operate in isolation, particularly as people with risk-taking sexual behaviour may be co-infected. In this complex landscape, policy makers are limited by resource constraints while trying to find optimal coverage solutions. Disease modelling could help context. We aim develop a user-friendly software examining several STIs simultaneously, we unaware of any multi-STI decision support tools currently available....