ReviewYearbook of medical informatics2018
Sensor, Signal, and Imaging Informatics in 2017.
Review in Yearbook of medical informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Best Research Papers in the Field of Sensors, Signals, and Imaging Informatics 2021.Yearbook of medical informatics · 2022Review
- Notable Papers and New Directions in Sensors, Signals, and Imaging Informatics.Yearbook of medical informatics · 2021Review
- High Precision Digitization of Paper-Based ECG Records: A Step Toward Machine Learning.IEEE journal of translational engineering in health and medicine · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo summarize significant contributions to sensor, signal, and imaging informatics literature published in 2017.
methodsPubMed
resultsThe selected papers of 2017 demonstrate the important scientific advances in management and analysis of sensor, signal, and imaging information.
conclusionThe growth of signal and imaging data and the increasing power of machine learning techniques have engendered new opportunities for research in medical informatics. This synopsis highlights cutting-edge contributions to the science of Sensor, Signal, and Imaging Informatics.
Indexed as
Identifiers
What 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.