Robust Non-Invasive Cardiac Index Prediction via Feature Integration and Data-Augmented Neural Networks.
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| Title: | Robust Non-Invasive Cardiac Index Prediction via Feature Integration and Data-Augmented Neural Networks. |
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| Authors: | Chang CH; Department of Computer Science and Information Engineering, National Central University, Taoyuan 320317, Taiwan., Chan ML; School of Physical Educational College, Jiaying University, Meizhou 514000, China., Fang YH; Department of Pulmonary and Critical Care Medicine, Chiayi Chang-Gung Memorial Hospital, Chang-Gung Medical Foundation, Chiayi 613016, Taiwan., Huang PL; Department of Electronic Engineering, Feng Chia University, Taichung 407102, Taiwan., Chen TY; Department of Electronic Engineering, Feng Chia University, Taichung 407102, Taiwan., Chi TK; Department of Electrical Engineering, Ming Chi University of Technology, New Taipei City 243303, Taiwan., Cha IE; Undergraduate Program in Intelligent Computing and Big Data, Chung Yuan Christian University, Taoyuan City 320314, Taiwan., Ger TR; Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei 112304, Taiwan., Li KC; Department of Information Management, Chung Yuan Christian University, Taoyuan City 320314, Taiwan., Chen SL; Department of Electronic Engineering, Chung Yuan Christian University, Taoyuan 320314, Taiwan.; Research Center for Semiconductor Materials and Advanced Optics, Chung Yuan Christian University, Taoyuan City 320314, Taiwan., Wang LH; Department of Microelectronics, College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, China., Wang JC; Department of Computer Science and Information Engineering, National Central University, Taoyuan 320317, Taiwan., Abu PAR; Department of Information Systems and Computer Science, Ateneo de Manila University, Quezon City 1108, Philippines. |
| Source: | Bioengineering (Basel, Switzerland) [Bioengineering (Basel)] 2026 Apr 18; Vol. 13 (4). Date of Electronic Publication: 2026 Apr 18. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101676056 Publication Model: Electronic Cited Medium: Print ISSN: 2306-5354 (Print) Linking ISSN: 23065354 NLM ISO Abbreviation: Bioengineering (Basel) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2306-5354 |
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| DOI: | 10.3390/bioengineering13040477 |
