A5011142830- Biomedical Text Mining and Ontologies
- Electronic Health Records Systems
- Semantic Web and Ontologies
- Business Process Modeling and Analysis
- Clinical practice guidelines implementation
- Digital Mental Health Interventions
- Machine Learning in Healthcare
- Artificial Intelligence in Healthcare and Education
- Mobile Health and mHealth Applications
- Chronic Disease Management Strategies
- Service-Oriented Architecture and Web Services
- Data Quality and Management
- Advanced Database Systems and Queries
- Access Control and Trust
- Health Systems, Economic Evaluations, Quality of Life
- Cancer survivorship and care
- Genomics and Rare Diseases
- Healthcare Systems and Technology
- Behavioral Health and Interventions
- Privacy-Preserving Technologies in Data
- COVID-19 and Mental Health
- Mental Health Research Topics
- Topic Modeling
- Autism Spectrum Disorder Research
- Artificial Intelligence in Healthcare
University of Haifa
2016-2025
Stanford University
2000-2017
Carmel (Israel)
2008-2013
Eindhoven University of Technology
2007
Newcastle University
2003
Decision Systems (United States)
2003
Brigham and Women's Hospital
2003
University of Pavia
2003
Cancer Research UK
2003
Columbia University
2001-2003
Many groups are developing computer-interpretable clinical guidelines (CIGs) for use during encounters. CIGs "Task-Network Models" representation but differ in their approaches to addressing particular modeling challenges. We have studied similarities and differences between order identify issues that must be resolved before a consensus on set of common components can developed.We compared six models: Asbru, EON, GLIF, GUIDE, PRODIGY, PROforma. Collaborators from created these models...
Abstract Previous research has established Type 2 Diabetes Mellitus as a significant risk factor for various disorders, adversely impacting human health. While evidence increasingly links type diabetes to cognitive impairment and brain understanding the causal effects of its preclinical stage on health is yet be fully known. This knowledge gap hinders advancements in screening preventing neurological psychiatric diseases. To address this gap, we employed robust machine learning algorithm...
Brain age gap (BAG), the deviation between estimated brain and chronological age, is a promising marker of health. However, genetic architecture reliable targets for aging remains poorly understood. In this study, we estimate magnetic resonance imaging (MRI)–based using deep learning models trained on UK Biobank validated with three external datasets. A genome-wide association study BAG identified two unreported loci seven previously reported loci. By integrating Mendelian Randomization (MR)...
Abstract Motivation: Biological processes can be considered at many levels of detail, ranging from atomic mechanism to general such as cell division, adhesion or invasion. The experimental study protein function and gene regulation typically provides information levels. representation hierarchical process knowledge in biology is therefore a major challenge for bioinformatics. To represent high-level the context their component functions, we have developed graphical model biological that...
Petri Nets (PNs) and their extensions are promising methods for modeling simulating biological systems. We surveyed PN formalisms tools compared them based on mathematical capabilities as well by appropriateness to represent typical processes. measured the ability of these model specific features systems answer a set questions that we defined. found different required provide all assessed. created software translate generic into most discussed. have also made available three models suggest...
Objectives: Languages used to specify computer-interpretable guidelines (CIGs) differ in their approaches addressing particular modeling challenges. The main goals of this article are: (1) examine the expressive power CIG languages, and (2) define differences, from control-flow perspective, between process languages workflow management systems design clinical guidelines. Design: pattern-based analysis was applied guideline Asbru, EON, GLIF, PROforma. We focused on left other perspectives out...
The object-process methodology (OPM) specifies both graphically and textually the system's static-structural behavioral-procedural aspects through a single unifying model. This model singularity is contrasted with multimodel approach applied by existing object oriented system analysis methods. These methods usually employ at least three distinct models for specifying various aspects: mainly structure, function, behavior. Object modeling technique (OMT), main ancestor of unified language...
Abstract Objective We show how the HL7 Virtual Medical Record (vMR) standard can be used to design and implement a data integrator (DI) component that collects patient information from heterogeneous sources stores it into personal health record, which then retrieve data. Our working hypothesis is vMR in its release 1 version properly capture semantics needed drive evidence-based clinical decision support systems. Materials Methods To achieve seamless communication between record consumers,...