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Related Concept Videos

Prediction Intervals01:03

Prediction Intervals

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The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
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Confidence Intervals01:21

Confidence Intervals

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An unbiased point estimate is often insufficient to predict a population estimate, such as population mean or population proportion. In this scenario, a confidence interval is used. A confidence interval is an estimate similar to a  sample proportion. However, unlike the point estimate which is a single value, the confidence interval  contains a range of values. These values have lower and upper limits, known as confidence limits, and can be designated as L1 and L2, respectively.
A...
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Machines01:19

Machines

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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
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Inertial Frames of Reference01:03

Inertial Frames of Reference

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Newton’s first law is usually considered to be a statement about reference frames. It provides a method for identifying a special type of reference frame: the inertial reference frame. In principle, we can make the net force on a body zero. If its velocity relative to a given frame is constant, then that frame is said to be inertial. So, by definition, an inertial reference frame is a reference frame where Newton's first law holds valid. Newton's first law applies to objects with...
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Non-inertial Frames of Reference01:27

Non-inertial Frames of Reference

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A reference frame accelerating or decelerating relative to an inertial frame is a non-inertial frame. To help understand this, consider what taking off in an airplane, turning a corner in a car, riding a merry-go-round, and the circular motion of a tropical cyclone all have in common. All these systems are accelerating, decelerating, or rotating relative to the Earth; hence, they all are non-inertial frames. All these systems exhibit inertial forces, which merely seem to arise from motion,...
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Diabetes: Symptoms, Diagnosis, and Complications01:15

Diabetes: Symptoms, Diagnosis, and Complications

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For most patients, experiencing several weeks of polyuria, polydipsia, fatigue, and significant weight loss may indicate the presence of diabetes. Furthermore, adults displaying the phenotypic appearance of type 2 diabetes (particularly those who are obese and not initially insulin-requiring), may have islet cell autoantibodies, suggesting autoimmune-mediated β cell destruction and a diagnosis of latent autoimmune diabetes of adults (LADA). The categorization of glucose homeostasis is...
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Related Experiment Video

Updated: Jan 21, 2026

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
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Rethinking ME/CFS Diagnostic Reference Intervals via Machine Learning, and the Utility of Activin B for Defining

Brett A Lidbury1, Badia Kita2, Alice M Richardson3

  • 1National Centre for Epidemiology and Population Health, RSPH, College of Health and Medicine, The Australian National University, Canberra, ACT 2601, Australia. brett.lidbury@anu.edu.au.

Diagnostics (Basel, Switzerland)
|July 24, 2019
PubMed
Summary
This summary is machine-generated.

Activin B shows potential as a biomarker for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). Combining activin B with routine blood tests improves ME/CFS diagnosis and severity prediction.

Keywords:
activinbiomarkerchronic fatigue syndromecytokinemachine learningmyalgic encephalomyelitispathologyreference intervals

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Area of Science:

  • Biochemistry
  • Immunology
  • Clinical Diagnostics

Background:

  • Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a disabling condition with an unclear cause.
  • Biomarker discovery is crucial for laboratory diagnosis of ME/CFS.
  • Activin B has emerged as a potential quantitative serum marker.

Purpose of the Study:

  • To investigate serum activin B as a biomarker for ME/CFS.
  • To assess activin B alone and in combination with routine pathology markers.
  • To evaluate activin B's utility in predicting ME/CFS severity.

Main Methods:

  • Serum activin B levels were measured in ME/CFS and control cohorts.
  • Random Forest (RF) modeling was used to analyze routine blood tests and activin B.
  • Participants were assessed using Canadian/International Consensus Criteria and weighted standing time (WST).

Main Results:

  • Conflicting results for serum activin B levels were observed between pilot and current cohorts, with lower median levels in the current ME/CFS cohort.
  • Five routine pathology markers predicted ME/CFS with ≥62% accuracy.
  • Inclusion of activin B improved prediction for mild to moderate ME/CFS cases.
  • 24-h urinary creatinine clearance, serum urea, and serum activin B showed diagnostic potential.

Conclusions:

  • Serum activin B, alongside routine pathology markers like 24-h urinary creatinine clearance and serum urea, holds potential for ME/CFS diagnosis.
  • Activin B enhances the prediction of ME/CFS symptom severity.
  • Further validation is needed to establish activin B as a reliable diagnostic and prognostic marker for ME/CFS.