A5007372167- Mental Health Research Topics
- Health, Environment, Cognitive Aging
- Biomedical Text Mining and Ontologies
- Topic Modeling
- Meta-analysis and systematic reviews
- Machine Learning in Healthcare
- Scientific Computing and Data Management
- Advanced Text Analysis Techniques
- Genetics, Bioinformatics, and Biomedical Research
- Artificial Intelligence in Healthcare and Education
- Ethics in Clinical Research
- Genetic factors in colorectal cancer
- Genomics and Rare Diseases
- Genomics and Phylogenetic Studies
- Music and Audio Processing
- Heart Failure Treatment and Management
- HIV-related health complications and treatments
- Privacy, Security, and Data Protection
- Privacy-Preserving Technologies in Data
- Cardiovascular and exercise physiology
- HIV, Drug Use, Sexual Risk
- Diverse Musicological Studies
- Mobile Crowdsensing and Crowdsourcing
- Music Technology and Sound Studies
- Explainable Artificial Intelligence (XAI)
Open Evidence
2017
University Medical Center Groningen
2014-2016
University of Groningen
2013-2015
Public Health Service of Amsterdam
2012
Machine learning (ML) algorithms have proven highly accurate for identifying Randomized Controlled Trials (RCTs) but are not used much in practice, part because the best way to make use of technology a typical workflow is unclear. In this work, we evaluate ML models RCT classification (support vector machines, convolutional neural networks, and ensemble approaches). We trained optimized support machine network on titles abstracts Cochrane Crowd set. evaluated an external dataset (Clinical...
Abstract Objective To develop and evaluate RobotReviewer, a machine learning (ML) system that automatically assesses bias in clinical trials. From (PDF-formatted) trial report, the should determine risks of for domains defined by Cochrane Risk Bias (RoB) tool, extract supporting text these judgments. Methods We algorithmically annotated 12,808 PDFs using data from Database Systematic Reviews (CDSR). Trials were labeled as being at low or high/unclear risk each domain, sentences informative...
We present RobotReviewer, an opensource web-based system that uses machine learning and NLP to semi-automate biomedical evidence synthesis, aid the practice of Evidence-Based Medicine.RobotReviewer processes full-text journal articles (PDFs) describing randomized controlled trials (RCTs).It appraises reliability RCTs extracts text key trial characteristics (e.g., descriptions population) using novel methods.RobotReviewer then automatically generates a report synthesising this information.Our...
Randomized controlled trials (RCTs) are the gold standard method for evaluating whether a treatment works in health care but can be difficult to find and make use of. We describe development evaluation of system automatically categorize all new RCT reports.
Systematic reviews, which summarize the entirety of evidence pertaining to a specific clinical question, have become critical for evidence-based decision making in healthcare. But such reviews increasingly onerous produce due exponentially expanding biomedical literature base. This study proposes step toward mitigating this problem by automating risk bias assessment systematic reviewers determine whether results may be affected biases (e.g., poor randomization or blinding). Conducting is an...
Next-generation sequencing in clinical diagnostics is providing valuable genomic variant data, which can be used to support healthcare decisions. In silico tools predict pathogenicity are crucial assess such variants and we have evaluated a new tool, Combined Annotation Dependent Depletion (CADD), its classification of gene Lynch syndrome by using set 2,210 DNA mismatch repair variants. These had already been classified experts from InSiGHT's Variant Interpretation Committee. Overall, found...
Assessing risks of bias in randomized controlled trials (RCTs) is an important but laborious task when conducting systematic reviews. RobotReviewer (RR), open-source machine learning (ML) system, semi-automates assessments. We conducted a user study RobotReviewer, evaluating time saved and usability the tool. Systematic reviewers applied Cochrane Risk Bias tool to four randomly selected RCT articles. Reviewers judged: whether was at low, or high/unclear risk for each domain (Version 1);...
Abstract Objective Pooling data across biobanks is necessary to increase statistical power, reveal more subtle associations, and synergize the value of sources. However, searching for desired elements among thousands available harmonizing differences in terminology, collection, structure, arduous time consuming. Materials methods To speed up biobank pooling we developed BiobankConnect, a system semi-automatically match by: (1) annotating with ontology terms using BioPortal; (2) automatically...
In medicine, the publication of clinical trials now far out-paces clinicians' ability to read them. Systematic reviews, which aim summarize entirety available evidence on a specific question, have therefore become linchpin evidence-based decision making. A key task in systematic reviews is determining whether results included studies may be affected by biases, e.g., poor randomization or blinding. This called risk bias assessment and standard practice. Standardized tools are used perform...
Objective Randomized controlled trials (RCTs) are the gold standard method for evaluating whether a treatment works in healthcare, but can be difficult to find and make use of. We describe development evaluation of system automatically categorize all new RCT reports. Materials Methods Trialstreamer, continuously monitors PubMed WHO International Clinical Trials Registry Platform (ICTRP), looking RCTs humans using validated classifier. combine machine learning rule-based methods extract...
Today researchers can choose from many bioinformatics protocols for all types of life sciences research, computational environments and coding languages. Although the majority these are open source, few them possess virtues to maximize reuse promote reproducible science. Wikipedia has proven a great tool disseminate information enhance collaboration between users with varying expertise background author qualitative content via crowdsourcing. However, it remains an question whether wiki...
Purpose of the study People living with HIV (PLWH) appear to be at increased risk for earlier onset age‐associated non‐communicable co‐morbidity (AANCC) and declines in physical mental capacities, compared general population [ 1 ]. This AANCC setting infection is likely negatively affect work participation quality life. Present investigates prevalence determinants unemployment among older HIV‐1‐infected HIV‐uninfected participants AGEhIV Cohort Study. Methods Data were collected (Oct....
Owners of biobanks are in an unfortunate position: on the one hand, they need to protect privacy their participants, whereas other, usefulness relies disclosure data hold. Existing methods for Statistical Disclosure Control attempt find a balance between utility and confidentiality, but come at cost analysts data. We outline alternative perspective confidentiality utility. By combining generation synthetic with automated execution analyses, biobank owners can guarantee yet allow work...