Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A model for optimal sequential decisions applied to liver transplantation.

G Tusch1

  • 1Medical School Hanover, 30623 Hannover, Germany.

Studies in Health Technology and Informatics
|February 24, 2001
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Classification of thoracic and lumbar injuries: An analysis of interobserver reliability.

Der Orthopade·2017
Same author

Evaluation of the mobility of adjacent segments after posterior thoracolumbar fixation: a biomechanical study.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society·2001
Same author

Replacement of calcineurin inhibitors with mycophenolate mofetil in liver-transplant patients with renal dysfunction: a randomised controlled study.

Lancet (London, England)·2001
Same author

[Surgical therapy of cystic echinococcosis of the liver].

Zentralblatt fur Chirurgie·2001
Same author

Data warehouse and data mining in a surgical clinic.

Studies in health technology and informatics·2001
Same author

Renal transplantation in older adults: is graft survival affected by age? A case control study.

Transplantation·2001
Same journal

The Essential Components and Critical Conditions for Success in a Learning Health System in Oncology.

Studies in health technology and informatics·2026
Same journal

Use of Artificial Intelligence in Screening for Adolescent Idiopathic Scoliosis: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Movement Related Biomechanics in Adolescent Idiopathic Scoliosis: A Review of Reviews.

Studies in health technology and informatics·2026
Same journal

The Impact of Surgical Correction of Adolescent Idiopathic Scoliosis Using Posterior Spinal Fusion on Selected Radiological Parameters and Respiratory Function.

Studies in health technology and informatics·2026
Same journal

Acute Effect of Physio-logic® Exercises on Muscle Tone and Stiffness in Adolescent Idiopathic Scoliosis Patients: A Preliminary Study.

Studies in health technology and informatics·2026
Same journal

Effects of Integrated Music and Occupational Therapy on Motor and Autonomic Function in Children with Neurogenic Scoliosis.

Studies in health technology and informatics·2026
See all related articles

This study introduces a sequential decision rule for optimal clinical management in liver transplantation. The model uses patient risk assessment and artificial neural networks to enable early, cost-effective decisions while meeting sensitivity and specificity standards.

Area of Science:

  • Decision analysis
  • Medical informatics
  • Clinical decision support

Background:

  • Optimal clinical management requires effective patient risk assessment.
  • Sequential decision-making can improve efficiency in healthcare.

Purpose of the Study:

  • To construct a sequential decision rule using a decision-theoretic model for liver transplantation.
  • To identify an optimal clinical management strategy based on patient risk.

Main Methods:

  • A novel decision-theoretic cost model was developed, defining costs by minimum acceptable sensitivity and specificity.
  • Non-linear optimization and partial classification identified the earliest decision point.
  • Probabilities were estimated from liver transplantation patient data.
  • Artificial neural networks (ANNs) generated scores from clinical parameters at various decision points.

Related Experiment Videos

Main Results:

  • The model successfully identified decision steps before and after organ assessment, and postoperatively.
  • Clinical parameters were integrated into ANNs for risk scoring.
  • The developed model demonstrated applicability in a clinical setting.

Conclusions:

  • The sequential decision rule provides a framework for optimizing clinical management strategies.
  • The approach allows for early decision-making under defined quality constraints.
  • This decision-theoretic model shows promise for improving patient care in liver transplantation.