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A software tool for applying Bayes' theorem in medical diagnostics [PDF]

open access: goldBMC Medical Informatics and Decision Making
Background In medical diagnostics, estimating post-test or posterior probabilities for disease, positive and negative predictive values, and their associated uncertainty is essential for patient care.
Theodora Chatzimichail   +1 more
doaj   +4 more sources

Prevalence of Birt-Hogg-Dubé Syndrome Determined Through Epidemiological Data on Spontaneous Pneumothorax and Bayes Theorem. [PDF]

open access: yesFront Med (Lausanne), 2021
Background: Birt-Hogg-Dubé syndrome (BHD) is a rare inherited disorder characterized by cutaneous fibrofolliculomas, multiple pulmonary cysts, recurrent spontaneous pneumothorax (SP), and renal tumors.
Muller ME, Daccord C, Taffé P, Lazor R.
europepmc   +2 more sources

Expert System for Diagnosis Chicken Disease using Bayes Theorem [PDF]

open access: diamondJournal of Physics: Conference Series, 2019
Chicken disease is a condition in which the body organs of chickens cannot function normally. Diagnosing a disease requires symptoms that appear on the chicken’s body. To conduct a disease diagnosis, further examination is needed by specialists (experts).
Hengki Tamando Sihotang   +4 more
semanticscholar   +3 more sources

Wavelength-Resolution SAR Change Detection Using Bayes’ Theorem

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
-This article presents Bayes' theorem for wavelength-resolution synthetic aperture radar (SAR) change detection method development. Different change detection methods can be derived using Bayes' theorem in combination with the target model, clutter-plus ...
Dimas Irion Alves   +7 more
doaj   +2 more sources

Error rates in SARS-CoV-2 testing examined with Bayes' theorem [PDF]

open access: yesHeliyon, 2021
The SARS-CoV-2 pandemic has created a demand for large scale testing, as part of the effort to understand and control transmission. It is important to quantify the error rates of test equipment under field conditions, which might differ significantly ...
P.M. Bentley
doaj   +2 more sources

The computation of case fatality rate for novel coronavirus (COVID-19) based on Bayes theorem: An observational study. [PDF]

open access: yesMedicine (Baltimore), 2020
Supplemental Digital Content is available in the ...
Chang CS   +5 more
europepmc   +2 more sources

Bayes’ theorem [PDF]

open access: yesBayesian Statistics for Beginners, 2019
Abstract This chapter focuses on Bayes’ Theorem. The chapter first gives a brief introduction to Thomas Bayes, who first formulated the theorem. It then builds on the content presented in Chapters 1 and 2 to derive Bayes’ Theorem and describes two ways to think about it.
Therese M. Donovan, Ruth M. Mickey
semanticscholar   +7 more sources

DIAGNOSING PESTS AND DISEASES ON PINEAPPLE USING THE BAYES THEOREM

open access: goldRussian Journal of Agricultural and Socio-Economic Sciences, 2023
Pineapple plants grow in tropical climates and have long been cultivated. Pineapple plants can be harvested 18-24 months after planting. Pineapple contains vitamins A and C and calcium, phosphorus, magnesium, iron, sodium, potassium, dextrose, sucrose ...
Wahyuni M.S., Marbun B.P.T., Riansah W.
doaj   +2 more sources

Bayes’ theorem-based binary algorithm for fast reference-less calibration of a multimode fiber

open access: goldOptics Express, 2018
In this paper, we present a Bayes' theorem-based high-speed algorithm, to measure the binary transmission matrix of a multimode fiber using a digital micromirror device, in a reference-less multimode fiber imaging system. Based on conditional probability,
Tianrui Zhao   +4 more
openalex   +2 more sources

Baye's Theorem

open access: yesSSRN Electronic Journal, 2009
Baye's Theorem states that the conditional probability of A given B can be found out by dividing the product of the conditional probability of B given A and the marginal probability of A by the sum of the product of the conditional probability of B given A and the marginal probability of A (Law of total probability).
Christoph Carl Kling
semanticscholar   +4 more sources

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