A5081276306- Biomedical Text Mining and Ontologies
- Semantic Web and Ontologies
- Hematopoietic Stem Cell Transplantation
- Sepsis Diagnosis and Treatment
- Neutropenia and Cancer Infections
- Scientific Computing and Data Management
- linguistics and terminology studies
- Digital Imaging in Medicine
- Blood groups and transfusion
- Acute Myeloid Leukemia Research
- Genomics and Rare Diseases
- Platelet Disorders and Treatments
- Data Quality and Management
- Cancer Genomics and Diagnostics
- Machine Learning in Healthcare
- Acute Lymphoblastic Leukemia research
- Research Data Management Practices
Fraunhofer Institute for Biomedical Engineering
2009-2025
Platelet reconstitution after allogeneic hematopoietic cell transplantation (allo‐HCT) is heterogeneous and influenced by various patient‐ transplantation‐related factors, associated with poor prognoses for graft function (PGF) isolated thrombocytopenia. Tailored interventions could improve the outcome of patients PGF post‐HCT To provide individual predictions 180‐day platelet counts from early phase data, we developed a model long‐term allo‐HCT. A large cohort ( n = 1949) adult undergoing...
Abstract Allogeneic hematopoietic cell transplantation (HCT) effectively treats high‐risk hematologic diseases but can entail HCT‐specific complications, which may be minimized by appropriate patient management, supported accurate, individual risk estimation. However, almost all HCT scores are limited to a single assessment before without incorporation of additional data. We developed machine learning models that integrate both baseline data and time‐dependent laboratory measurements...
Predictive models can support physicians to tailor interventions and treatments their individual patients based on predicted response risk of disease help in this way put personalized medicine into practice. In allogeneic stem cell transplantation assessment is be enhanced order respond emerging viral infections reactions. However, develop predictive it necessary harmonize integrate high amounts heterogeneous medical data that stored different health information systems. Driven by the demand...
Acute graft-versus-host disease (aGvHD) is a major cause of death for patients following allogeneic hematopoietic stem cell transplantation (HSCT). Effective management moderate to severe aGvHD remains challenging despite recent advances in HSCT, emphasizing the importance prophylaxis and risk factor identification.
This paper presents an advanced search engine prototype for bibliography retrieval developed within the CHRONIOUS European IP project of seventh Framework Program (FP7). is specifically targeted to clinicians and healthcare practitioners searching documents related Chronic Obstructive Pulmonary Disease (COPD) Kidney (CKD). To this aim, presented tool exploits two pathology-specific ontologies that allow focused document indexing retrieval. These have been on top Middle Layer Ontology...
Abstract Allogeneic hematopoietic cell transplantation (HCT) effectively treats high-risk hematologic diseases but can entail HCT-specific complications, which may be minimized by appropriate patient management, supported accurate, individual risk estimation. However, almost all HCT scores are limited to a single assessment before without incorporation of additional data. We developed machine learning models integrate both baseline data and time-dependent laboratory measurements individually...
Long-term preservation of electronic patient health information is a key issue for life-long records, however, it poorly implemented in healthcare institutions and little attention given to problems like obsolescence formats EHR applications or changing regulations, which jeopardize reusability after decades preservation. We present this paper an ontology driven approach digital related metadata management seems be superior conventional concepts the library world.
Abstract The ACGT project which aims to foster the sharing of research result from both, clinical and molecular for benefit cancer patients uses ontology-driven semantic services. One novelty provides is a tool named ObTiMA allows build questionnaires directly Master Ontology. This will facilitate process creating Case Report Forms. Furthermore, data collected already annotated in terms ontology.
The ACGT project which aims to foster the sharing of research result from both, clinical and molecular for benefit cancer patients uses ontology-driven semantic services. One novelty provides is a tool named ObTiMA allows build questionnaires directly Master Ontology. This will facilitate process creating Case Report Forms. Furthermore, data collected already annotated in terms ontology.