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Advancing idiopathic pulmonary fibrosis prognosis through integrated CNN-LSTM predictive modeling and uncertainty quantification

Research article (Biomedical Signal Processing and Control, 2024) · cited 46× · AI/ML
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Advancing idiopathic pulmonary fibrosis prognosis through integrated CNN-LSTM predictive modeling and uncertainty quantification

Summary

Advancing idiopathic pulmonary fibrosis prognosis through integrated CNN-LSTM predictive modeling and uncertainty quantification is a scholarly article[1].

Key Facts

  • Advancing idiopathic pulmonary fibrosis prognosis through integrated CNN-LSTM predictive modeling and uncertainty quantification's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Advancing idiopathic pulmonary fibrosis prognosis through integrated CNN-LSTM predictive modeling and uncertainty quantification. Retrieved May 24, 2026, from https://4ort.xyz/entity/advancing-idiopathic-pulmonary-fibrosis-prognosis-through-integrated-cnn-lstm-predictive-modeling-and-uncertainty-quanti
MLA “Advancing idiopathic pulmonary fibrosis prognosis through integrated CNN-LSTM predictive modeling and uncertainty quantification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/advancing-idiopathic-pulmonary-fibrosis-prognosis-through-integrated-cnn-lstm-predictive-modeling-and-uncertainty-quanti.
BibTeX @misc{4ortxyz_advancing-idiopathic-pulmonary-fibrosis-prognosis-through-integrated-cnn-lstm-predictive-modeling-and-uncertainty-quanti_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Advancing idiopathic pulmonary fibrosis prognosis through integrated CNN-LSTM predictive modeling and uncertainty quantification}}, year = {2026}, url = {https://4ort.xyz/entity/advancing-idiopathic-pulmonary-fibrosis-prognosis-through-integrated-cnn-lstm-predictive-modeling-and-uncertainty-quanti}, note = {Accessed: 2026-05-24}}
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