Tracing seafood at high spatial resolution using NGS-generated data and machine learning: Comparing microbiome versus SNPs.
Sign Up to like & getrecommendations! Published in 2019 at "Food chemistry"
DOI: 10.1016/j.foodchem.2019.02.037
Abstract: Developing reliable tools to trace food origin represents a major goal for producers and control authorities. Here, we test the hypothesis whether NGS-generated data could provide a reliable tool to ensure seafood traceability. As a… read more here.
Keywords: resolution; machine learning; clam; ngs generated ... See more keywords
Enabling personalized decision support with patient-generated data and attributable components
Sign Up to like & getrecommendations! Published in 2021 at "Journal of biomedical informatics"
DOI: 10.1016/j.jbi.2020.103639
Abstract: Decision-making related to health is complex. Machine learning (ML) and patient generated data can identify patterns and insights at the individual level, where human cognition falls short, but not all ML-generated information is of equal… read more here.
Keywords: decision; attributable components; decision support; patient generated ... See more keywords
Structural Health Monitoring using deep learning with optimal finite element model generated data
Sign Up to like & getrecommendations! Published in 2020 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2020.106972
Abstract: Abstract Identifying damage through Structural Health Monitoring (SHM) methods is increasingly attracting attention due to multiple maintenance and failure prevention applications. In order to create reliable SHM systems for structural damage identification (DI) tasks, access… read more here.
Keywords: health monitoring; structural health; deep learning; model ... See more keywords
A visual analytics approach for pattern-recognition in patient-generated data
Sign Up to like & getrecommendations! Published in 2018 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocy054
Abstract: Abstract Objective To develop and test a visual analytics tool to help clinicians identify systematic and clinically meaningful patterns in patient-generated data (PGD) while decreasing perceived information overload. Methods Participatory design was used to develop… read more here.
Keywords: information overload; visual analytics; meaningful patterns; glucolyzer ... See more keywords
A New Classification Method for Diagnosing COVID-19 Pneumonia via Joint Parallel Deformable MLP Modules and Bi-LSTM With Multi-Source Generated Data of CXR Images
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2024.3367489
Abstract: The Coronavirus Disease 2019 (COVID-19) pneumonia poses a critical threat to public health because of its powerful infectiousness, which has spurred the consumer electronics industry to innovate rapidly, leading to the emergence of advanced diagnostic… read more here.
Keywords: generated data; method; pneumonia; covid pneumonia ... See more keywords
Both sides of the story: comparing student-level data on reading performance from administrative registers to application generated data from a reading app
Sign Up to like & getrecommendations! Published in 2021 at "Epj Data Science"
DOI: 10.1140/epjds/s13688-021-00300-y
Abstract: The use of various learning apps in school settings is growing and thus producing an increasing amount of usage generated data. However, this usage generated data has only to a very little extend been used… read more here.
Keywords: reading app; usage generated; data reading; generated data ... See more keywords
Understanding Individual and Collaborative Problem-Solving with Patient-Generated Data
Sign Up to like & getrecommendations! Published in 2017 at "Proceedings of the ACM on Human-Computer Interaction"
DOI: 10.1145/3134723
Abstract: Making effective use of patient-generated data (PGD) is challenging for both patients and providers. Designing systems to support collaborative and individual use of PGD is a topic of importance in CSCW, considering the limitations of… read more here.
Keywords: use; patient generated; problem solving; generated data ... See more keywords
Using Sensor-Captured Patient-Generated Data to Support Clinical Decision-making in PTSD Therapy
Sign Up to like & getrecommendations! Published in 2024 at "Proceedings of the ACM on Human-Computer Interaction"
DOI: 10.1145/3637426
Abstract: Today, clinicians have limited visibility into the quality of homework exercises that occur outside of the clinical context; however, understanding patient performance in these exercises is essential for guiding patient-centered care. To address this, we… read more here.
Keywords: generated data; using sensor; sensor captured; captured patient ... See more keywords
Latent class analysis of actigraphy within the depression early warning (DEW) longitudinal clinical youth cohort
Sign Up to like & getrecommendations! Published in 2024 at "Child and Adolescent Psychiatry and Mental Health"
DOI: 10.1186/s13034-024-00843-8
Abstract: Wearable-generated data yield objective information on physical activity and sleep variables, which, are in turn, related to the phenomenology of depression. There is a dearth of wearable-generated data regarding physical activity and sleep variables among… read more here.
Keywords: generated data; youth; class; wearable generated ... See more keywords
Assessing Quality of Life Using FHIR - How to Combine Patient Reported Outcome with Patient Generated Data for Better Compliance.
Sign Up to like & getrecommendations! Published in 2023 at "Studies in health technology and informatics"
DOI: 10.3233/shti230083
Abstract: Quality of life (QoL) is affected by environmental influences and varies between patients. A combined measurement through Patient Reported Outcomes (PROs) and Patient Generated Data (PGD) may enhance the detection of QoL impairments by a… read more here.
Keywords: patient reported; qol; patient generated; patient ... See more keywords
A Framework for Evaluating Synthetic Electronic Health Records.
Sign Up to like & getrecommendations! Published in 2023 at "Studies in health technology and informatics"
DOI: 10.3233/shti230149
Abstract: Synthetic data generation can be applied to Electronic Health Records (EHRs) to obtain synthetic versions that do not compromise patients' privacy. However, the proliferation of synthetic data generation techniques has led to the introduction of… read more here.
Keywords: synthetic data; health; framework evaluating; health records ... See more keywords