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  Encyclopedia of Keywords > False Positive > False Negative   Michael Charnine

Keywords and Sections
FALSE NEGATIVE RATE
FALSE NEGATIVE RESULT
PRESENT
PERSON
TESTS
DIAGNOSTIC TESTS
UREA BREATH TEST
RESULTS
SCREENING
TYPE
SMALL NUMBER
PROBABILITY
IDS
SPAM
DISEASE
INFECTED
TEST
NEGATIVE
SOFTWARE
ANTI-VIRUS SOFTWARE
ERROR
FALSE POSITIVE
FALSE NEGATIVE
Review of Short Phrases and Links

    This Review contains major "False Negative"- related terms, short phrases and links grouped together in the form of Encyclopedia article.

Definitions

  1. False negative is the term used to describe a network intrusion device's inability to detect true security events under certain circumstances.
  2. No. A false negative is a spam message that it didn't catch.

False Negative Rate

  1. The false negative rate is the proportion of positive instances that were erroneously reported as negative.

False Negative Result

  1. Among 94 patients with a high PCP, 9 had a negative D-dimer test result; two of them had a false negative result and the number needed to test was 13.5.
  2. This occasionally results in a false negative result; some cases of chronic-biotoxin induced illness may pass the VCS test a some times.

Present

  1. A mammogram may miss some cancers that are present (false negative) or may find things that turn out not to be cancer (false positive).

Person

  1. False negative A false negative is a failure of a search engine to follow the wishes of the person who is searching.

Tests

  1. Second, if the results of the tests are a false negative, then the patient may be negligent in identifying symptoms and warning signals.

Diagnostic Tests

  1. The terms false positive and false negative (along with true positive and true negative) come to us from the world of diagnostic tests.

Urea Breath Test

  1. In this regard, clinicians should bear in mind that an urea breath test or a Helicobacter pylori stool antigen test can be false negative (e.g.

Results

  1. The test generally produces positive results in the later stages of the disease but often turns up false negative results in the early stages of infection.
  2. Many false negative results are the result of difficulty in collecting a sufficient number of cervical cells, not errors in reading the smear.
  3. It only detects between 20-50% of LVH. You'll have to keep in mind that sometimes there are false positive or false negative results.

Screening

  1. These tests are frequently false positive or false negative, and are not recommended for screening.
  2. J. Med. (1991) Reduction of false negative results in screening of newborns for homocystinuria.

Type

  1. Type II errors (the " false negative "): the error of accepting something that should have been rejected; e.g., such as finding a guilty person innocent.

Small Number

  1. If only a small number of bacteria are present in the biopsy sample, a color change may not occur, giving a false negative.

Probability

  1. The probability that a negative result is a false negative is about 0.0000105 or 0.00105%.
  2. The probability of a Type II error is referred to as the false negative rate (β).

Ids

  1. A false negative occurs when an attack or an event is either not detected by the IDS or is considered benign by the analyst.
  2. False Negative - A failure of an IDS to detect an actual attack [2].
  3. The False Negative Rate is the frequency with which the IDS fails to raise an alert when malicious activity actually occurs.

Spam

  1. A false negative occurs when a spam email is not detected as spam, but is classified as " non-spam ".
  2. A false negative means that the test said a message was not spam, when in reality it was.

Disease

  1. False Negative: A test result indicating that a person does not have a mutation or disease when, in reality, they do.
  2. But if 60% of the population had the disease, then the probability of a false negative would be greater.
  3. The false negative rate for a test is the false-negative test results divided by all patients with the disease.

Infected

  1. Conversely, if a file or boot sector that is infected is claimed to not be infected, a false negative (or Type-II) error has been made.

Test

  1. To make diagnosis even more difficult, dogs can also have a false negative if the test is done too late or too early in the progression of the disease.
  2. As noted previously, despite these sensitivities, a small number of HBV carriers may have undetectable levels of HBsAg and test as a false negative.
  3. False negative: A false negative in a test occurs when the test declares the condition of interest absent when in fact it is present.

Negative

  1. The test result may incorrectly show positive for those without disease (false positive), or negative for people who have the condition (false negative).
  2. Such predictions can be classified as positive, false positive, negative, and false negative.
  3. A false negative means that the patient actually has the disease, but the test result is negative.

Software

  1. A FALSE NEGATIVE (or Type-II) error is one in which the software fails to indicate that an infected file is infected.

Anti-Virus Software

  1. A false negative, or a miss, is when anti-virus software doesn't detect a virus that's present.

Error

  1. False Negative A false negative error occurs when anti-virus software fails to indicate an infected file is truly infected.
  2. Top False negative A false negative error occurs when anti-virus software fails to indicate that an infected file is truly infected.
  3. The practical impact of a false negative error is more spam in your mailbox.

False Positive

  1. In this case, a Type I error is a false negative for the researcher's theory, and a Type II error constitutes a false positive.
  2. A test can have one of the four following outcomes: true positive, false positive, true negative, and false negative.
  3. Type I errors (or α error, or false positive) and type II errors (β error, or a false negative) are two terms used to describe statistical errors.

False Negative

  1. A Type II error (also known as a false negative) occurs when a null hypothesis is not rejected despite being false.
  2. Doing this when the null hypothesis is in fact false - a false negative - is a Type II error; doing this when the null hypothesis is true is a true negative.
  3. From all the numbers c, with this property, we choose the smallest, in order to minimize the probability of a Type II error, a false negative.

Categories

  1. False Positive
  2. Anti-Virus Software
  3. Encyclopedia of Keywords > Information > Error
  4. Test Result
  5. Negative
  6. Books about "False Negative" in Amazon.com

Book: Keywen Category Structure


  Short phrases about "False Negative"
  Originally created: August 16, 2007.
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