outcome

Outcome

Predictive analytics and machine learning have emerged as valuable tools for predicting patient outcomes based on pertinent feature characteristics variables 1).


Developing patient-centered outcome predictive modeling, including those for patient-related outcome measures and length of stay, can contribute to improving society’s utilization of healthcare resources 2) 3)


see Patient outcome.

see Primary outcome.

see Secondary outcome.

see Surgical outcome.

see Postoperative outcome.


1)
Saravi B, Hassel F, Ülkümen S, Zink A, Shavlokhova V, Couillard-Despres S, Boeker M, Obid P, Lang GM. Artificial Intelligence-Driven Prediction Modeling and Decision Making in Spine Surgery Using Hybrid Machine Learning Models. J Pers Med. 2022 Mar 22;12(4):509. doi: 10.3390/jpm12040509. PMID: 35455625; PMCID: PMC9029065.
2)
Gellman DD. Cost-benefit in health care: we need to know much more. Can Med Assoc J. 1974 Nov 2;111(9):988-9. PMID: 4213589; PMCID: PMC1955910.
3)
Dagenais S, Roffey DM, Wai EK, Haldeman S, Caro J. Can cost utility evaluations inform decision making about interventions for low back pain? Spine J. 2009 Nov;9(11):944-57. doi: 10.1016/j.spinee.2009.07.007. Epub 2009 Sep 12. PMID: 19748833.
  • outcome.txt
  • Last modified: 2022/08/05 11:59
  • by administrador