Pneumonia probability [Likelihood] Artificial intelligence based calculation   103815-7

LOINC Code


LOINC code103815-7
namePneumonia probability [Likelihood] Artificial intelligence based calculation
descriptionThis is an AI-based probability calculation of whether pneumonia is present. This term was created for pneumonia probability calculated by a machine learning/computer vision algorithm. The value is calculated from the chest radiograph and is combined with other test results to decide whether the patient should be treated for pneumonia.
statusACTIVE

Fully-Specified Name

componentPneumonia probability
propertyLikelihood
timePt  =  Point in time:  To identify measures at a point in time. This is a synonym for “spot” or “random” as applied to urine measurements.
system^Patient
scaleQn  =  Quantitative:  The result of the test is a numeric value that relates to a continuous numeric scale. Reported either as an integer, a ratio, a real number, or a range. The test result value may optionally contain a relational operator from the set {<=, <, >, >=}. Valid values for a quantitative test are of the form "7", "-7", "7.4", "-7.4", "7.8912", "0.125", "<10", "<10.15", ">12000", 1-10, 1:256
methodArtificial intelligence based calculation

Additional Names

short namePneumonia probability AI based calc

Basic Attributes

classCLIN.RISK
type2  Clinical
order vs. observationObservation
example UCUM units%
The Unified Code for Units of Measure (UCUM) is a code system intended to include all units of measures being contemporarily used in international science, engineering, and business (www.unitsofmeasure.org)
example unit%

Associated Observations

LOINC codes that represent optional associated observation(s) for a clinical observation or laboratory test. A LOINC term may represent a single associated observation or panel containing several associated observations.

History/Usage

first released
last updated2.77
last change typeADD  - added

Related Names

AI
Calc
Calcn
Calculated
CLIN
CLIN.RISK
Point in time
QNT
Quan
Quant
Quantitative
Random
Risk

Copyright © 2024 Regenstrief Institute, Inc. All Rights Reserved. To the extent included herein, the LOINC table and LOINC codes are copyright © 1995-2024, Regenstrief Institute, Inc. and the Logical Observation Identifiers Names and Codes (LOINC) Committee. See https://loinc.org/license for the full LOINC copyright and license.

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