ReviewJournal of medical systems2012
Modeling paradigms for medical diagnostic decision support: a survey and future directions.
Review in Journal of medical systems, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed.
- Improving Emergency Department Patient-Physician Conversation Through an Artificial Intelligence Symptom-Taking Tool: Mixed Methods Pilot Observational Study.JMIR formative research · 2022Article
- Digital Natives' Preferences on Mobile Artificial Intelligence Apps for Skin Cancer Diagnostics: Survey Study.JMIR mHealth and uHealth · 2021Article
- Applying regulatory science in traditional chinese medicines for improving public safety and facilitating innovation in China: a scoping review and regulatory implications.Chinese medicine · 2021Article
- Extraction of Active Medications and Adherence Using Natural Language Processing for Glaucoma Patients.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021Article
- Advancing the Regulation of Traditional and Complementary Medicine Products: A Comparison of Five Regulatory Systems on Traditional Medicines with a Long History of Use.Evidence-based complementary and alternative medicine : eCAM · 2021Review
- "PhysIt" - A Diagnosis and Troubleshooting Tool for Physiotherapists in Training.Diagnostics (Basel, Switzerland) · 2020Article
- AI-Assisted Decision-making in Healthcare: The Application of an Ethics Framework for Big Data in Health and Research.Asian bioethics review · 2019Article
- Machine learning in critical care: state-of-the-art and a sepsis case study.Biomedical engineering online · 2018Observational
- From Big Data to Smart Data for Pharmacovigilance: The Role of Healthcare Databases and Other Emerging Sources.Drug safety · 2018Article
- Multiclassifier Systems for Predicting Neurological Outcome of Patients with Severe Trauma and Polytrauma in Intensive Care Units.Journal of medical systems · 2017Article
- Evolving Research Data Sharing Networks to Clinical App Sharing Networks.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2017Article
- The Scope of Big Data in One Medicine: Unprecedented Opportunities and Challenges.Frontiers in veterinary science · 2017Review
- A Method to Differentiate Mild Cognitive Impairment and Alzheimer in MR Images using Eigen Value Descriptors.Journal of medical systems · 2016Article
- A systematic approach for using DICOM structured reports in clinical processes: focus on breast cancer.Journal of digital imaging · 2015Review
- A fuzzy probabilistic method for medical diagnosis.Journal of medical systems · 2015Article
- Clinical implementation of a neonatal seizure detection algorithm.Decision support systems · 2015Article
- Towards Automated Three-Dimensional Tracking of Nephrons through Stacked Histological Image Sets.Computational and mathematical methods in medicine · 2015Article
- A survey on computer aided diagnosis for ocular diseases.BMC medical informatics and decision making · 2014Review
- "Big data" and the electronic health record.Yearbook of medical informatics · 2014Review
- VIKOR method with enhanced accuracy for multiple criteria decision making in healthcare management.Journal of medical systems · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Use of computer based decision tools to aid clinical decision making, has been a primary goal of research in biomedical informatics. Research in the last five decades has led to the development of Medical Decision Support (MDS) applications using a variety of modeling techniques, for a diverse range of medical decision problems. This paper surveys literature on modeling techniques for diagnostic decision support, with a focus on decision accuracy. Trends and shortcomings of research in this area are discussed and future directions are provided. The authors suggest that-(i) Improvement in the accuracy of MDS application may be possible by modeling of vague and temporal data, research on inference algorithms, integration of patient information from diverse sources and improvement in gene profiling algorithms; (ii) MDS research would be facilitated by public release of de-identified medical datasets, and development of opensource data-mining tool kits; (iii) Comparative evaluations of different modeling techniques are required to understand characteristics of the techniques, which can guide developers in choice of technique for a particular medical decision problem; and (iv) Evaluations of MDS applications in clinical setting are necessary to foster physicians' utilization of these decision aids.
Indexed as
Identifiers
21964969What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.