Development and validation of a 1-year survival prognosis estimation model for Amyotrophic Lateral Sclerosis using manifold learning algorithm UMAP
- PMID: 32770027
- PMCID: PMC7414917
- DOI: 10.1038/s41598-020-70125-8
Development and validation of a 1-year survival prognosis estimation model for Amyotrophic Lateral Sclerosis using manifold learning algorithm UMAP
Abstract
Amyotrophic Lateral Sclerosis (ALS) is an inexorably progressive neurodegenerative condition with no effective disease modifying therapies. The development and validation of reliable prognostic models is a recognised research priority. We present a prognostic model for survival in ALS where result uncertainty is taken into account. Patient data were reduced and projected onto a 2D space using Uniform Manifold Approximation and Projection (UMAP), a novel non-linear dimension reduction technique. Information from 5,220 patients was included as development data originating from past clinical trials, and real-world population data as validation data. Predictors included age, gender, region of onset, symptom duration, weight at baseline, functional impairment, and estimated rate of functional loss. UMAP projection of patients shows an informative 2D data distribution. As limited data availability precluded complex model designs, the projection was divided into three zones with relevant survival rates. These rates were defined using confidence bounds: high, intermediate, and low 1-year survival rates at respectively [Formula: see text] ([Formula: see text]), [Formula: see text] ([Formula: see text]) and [Formula: see text] ([Formula: see text]). Predicted 1-year survival was estimated using zone membership. This approach requires a limited set of features, is easily updated, improves with additional patient data, and accounts for results uncertainty.
Conflict of interest statement
The authors declare no competing interests.
Figures
Similar articles
-
Manifold learning for amyotrophic lateral sclerosis functional loss assessment : Development and validation of a prognosis model.J Neurol. 2021 Mar;268(3):825-850. doi: 10.1007/s00415-020-10181-2. Epub 2020 Sep 4. J Neurol. 2021. PMID: 32886252
-
Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning study.Lancet Digit Health. 2022 May;4(5):e359-e369. doi: 10.1016/S2589-7500(21)00274-0. Epub 2022 Mar 24. Lancet Digit Health. 2022. PMID: 35341712 Free PMC article.
-
Prognosis for patients with amyotrophic lateral sclerosis: development and validation of a personalised prediction model.Lancet Neurol. 2018 May;17(5):423-433. doi: 10.1016/S1474-4422(18)30089-9. Epub 2018 Mar 26. Lancet Neurol. 2018. PMID: 29598923
-
Theoretical predication of temperature effect on conducting processes in simulated amyotrophic lateral sclerosis at 20-40[Formula: see text]C.J Integr Neurosci. 2016 Jun;15(2):261-76. doi: 10.1142/S0219635216500163. Epub 2016 Jul 8. J Integr Neurosci. 2016. PMID: 27389830
-
Mechanical ventilation for amyotrophic lateral sclerosis/motor neuron disease.Cochrane Database Syst Rev. 2013 Mar 28;(3):CD004427. doi: 10.1002/14651858.CD004427.pub3. Cochrane Database Syst Rev. 2013. PMID: 23543531 Updated. Review.
Cited by
-
Dietary patterns associated with the incidence of hypertension among adult Japanese males: application of machine learning to a cohort study.Eur J Nutr. 2024 Feb 25. doi: 10.1007/s00394-024-03342-w. Online ahead of print. Eur J Nutr. 2024. PMID: 38403812
-
Accurate personalized survival prediction for amyotrophic lateral sclerosis patients.Sci Rep. 2023 Nov 24;13(1):20713. doi: 10.1038/s41598-023-47935-7. Sci Rep. 2023. PMID: 38001260 Free PMC article.
-
Language deficits in primary lateral sclerosis: cortical atrophy, white matter degeneration and functional disconnection between cerebral regions.J Neurol. 2024 Jan;271(1):431-445. doi: 10.1007/s00415-023-11994-7. Epub 2023 Sep 27. J Neurol. 2024. PMID: 37759084
-
Digital Alternative Communication for Individuals with Amyotrophic Lateral Sclerosis: What We Have.J Clin Med. 2023 Aug 11;12(16):5235. doi: 10.3390/jcm12165235. J Clin Med. 2023. PMID: 37629277 Free PMC article. Review.
-
Brainstem-cortex disconnection in amyotrophic lateral sclerosis: bulbar impairment, genotype associations, asymptomatic changes and biomarker opportunities.J Neurol. 2023 Jul;270(7):3511-3526. doi: 10.1007/s00415-023-11682-6. Epub 2023 Apr 6. J Neurol. 2023. PMID: 37022479 Free PMC article.
References
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical
Research Materials
Miscellaneous
