 Diagnosis, Computer-Assisted
"Diagnosis, Computer-Assisted" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Application of computer programs designed to assist the physician in solving a diagnostic problem.
| Descriptor ID |
D003936
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| MeSH Number(s) |
E01.158 L01.700.508.100.158
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| Concept/Terms |
Diagnosis, Computer-Assisted- Diagnosis, Computer-Assisted
- Diagnosis, Computer Assisted
- Computer-Assisted Diagnosis
- Computer Assisted Diagnosis
- Computer-Assisted Diagnoses
- Diagnoses, Computer-Assisted
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Below are MeSH descriptors whose meaning is more general than "Diagnosis, Computer-Assisted".
Below are MeSH descriptors whose meaning is more specific than "Diagnosis, Computer-Assisted".
This graph shows the total number of publications written about "Diagnosis, Computer-Assisted" by people in UAMS Profiles by year, and whether "Diagnosis, Computer-Assisted" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2021 | 0 | 1 | 1 | | 2019 | 0 | 1 | 1 | | 2016 | 1 | 0 | 1 | | 2015 | 0 | 1 | 1 | | 2014 | 1 | 0 | 1 | | 2013 | 2 | 2 | 4 | | 2012 | 1 | 0 | 1 | | 2011 | 2 | 0 | 2 | | 2010 | 3 | 1 | 4 | | 2009 | 3 | 1 | 4 | | 2008 | 3 | 0 | 3 | | 2007 | 3 | 3 | 6 | | 2006 | 1 | 0 | 1 | | 2005 | 5 | 0 | 5 | | 2004 | 1 | 0 | 1 | | 2003 | 0 | 2 | 2 | | 2002 | 0 | 1 | 1 | | 1992 | 1 | 0 | 1 |
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Below are the most recent publications written about "Diagnosis, Computer-Assisted" by people in Profiles over the past ten years.
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Vadhiraj VV, Simpkin A, O'Connell J, Singh Ospina N, Maraka S, O'Keeffe DT. Ultrasound Image Classification of Thyroid Nodules Using Machine Learning Techniques. Medicina (Kaunas). 2021 May 24; 57(6).
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Prior F, Almeida J, Kathiravelu P, Kurc T, Smith K, Fitzgerald TJ, Saltz J. Open access image repositories: high-quality data to enable machine learning research. Clin Radiol. 2020 01; 75(1):7-12.
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Escalona-Vargas D, Siegel ER, Murphy P, Lowery CL, Eswaran H. Selection of Reference Channels Based on Mutual Information for Frequency-Dependent Subtraction Method Applied to Fetal Biomagnetic Signals. IEEE Trans Biomed Eng. 2017 05; 64(5):1115-1122.
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Steinberg BA, Wehrenberg S, Jackson KP, Hayes DL, Varma N, Powell BD, Day JD, Frazier-Mills CG, Stein KM, Jones PW, Piccini JP. Atrioventricular and ventricular-to-ventricular programming in patients with cardiac resynchronization therapy: results from ALTITUDE. J Interv Card Electrophysiol. 2015 Dec; 44(3):279-87.
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Kontos AP, Braithwaite R, Dakan S, Elbin RJ. Computerized neurocognitive testing within 1 week of sport-related concussion: meta-analytic review and analysis of moderating factors. J Int Neuropsychol Soc. 2014 Mar; 20(3):324-32.
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Guirgis M, Serletis D, Zhang J, Florez C, Dian JA, Carlen PL, Bardakjian BL. Classification of Multiple Seizure-Like States in Three Different Rodent Models of Epileptogenesis. IEEE Trans Neural Syst Rehabil Eng. 2014 Jan; 22(1):21-32.
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Zhang C, Kodell RL. Subpopulation-specific confidence designation for more informative biomedical classification. Artif Intell Med. 2013 Jul; 58(3):155-63.
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Hester D, McGrane S, Higgins MS. Respiratory parameters as a surrogate marker for duration of intubation: potential application of automated vital sign collection. J Clin Monit Comput. 2013 Oct; 27(5):561-5.
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Xiong WW, Karam PY, Marsh JD, Varma N, Verdino RJ, Paydak H. Innovative P-wave detection for discrimination between ventricular and supraventricular tachycardia in single-chamber ICDs: is the P-wave invisible during tachycardia? Europace. 2013 Jun; 15(6):827-34.
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Kelsey M, Politte D, Verner R, Zempel JM, Nolan T, Babajani-Feremi A, Prior F, Larson-Prior LJ. Determination of neural state classification metrics from the power spectrum of human ECoG. Annu Int Conf IEEE Eng Med Biol Soc. 2012; 2012:4336-40.
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