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|d OCLCQ
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|a 9780323906654
|q (electronic bk.)
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|a 0323906656
|q (electronic bk.)
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|z 9780323901710
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|a (OCoLC)1312248024
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|a R856
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|a 610.28
|2 23
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|a Feedback control for personalized medicine /
|c edited by Esteban A. Hernandez-Vargas.
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| 260 |
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|a London, UK :
|b Academic Press,
|c 2022.
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| 300 |
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|a 1 online resource
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| 500 |
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|a Includes index.
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|a Front Cover -- Feedback Control for Personalized Medicine -- Copyright -- Contents -- Contributors -- About the editor -- Preface -- Acknowledgments -- 1 Closing the loop in personalized medicine -- References -- 2 Optimal control strategies to tailor antivirals for acute infectious diseases in the host: a study case of COVID-19 -- 2.1 Introduction -- 2.1.1 Notation -- 2.2 Review of the target cell limited model for in-host infection -- 2.3 Equilibrium characterization and stability -- 2.3.1 Asymptotic stability of the equilibrium sets -- 2.3.2 Stability theory
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|a 2.6.3 Quasioptimal single interval treatment -- 2.6.4 Short-term treatment -- 2.6.5 Two-step treatment, lowering the peak of V -- 2.7 Conclusions and future works -- References -- 3 Input-output approaches for personalized drug dosing of antibiotics -- 3.1 Introduction -- 3.2 Population pharmacokinetic model -- 3.2.1 State-space representation -- 3.2.2 System analysis -- 3.2.3 Case study: model of meropenem -- 3.3 Individualized drug dosing -- 3.3.1 Input-output analysis -- 3.3.2 Input-output formula for drug dosing -- 3.3.3 ``Worst-case'' analysis -- 3.3.4 PTA analysis
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|a 4.5.3 The switching signal -- 4.5.4 Coupling the safety layer with the offset-free strategy -- 4.6 Conclusion -- References -- 5 Deep neuronal network-based glucose prediction for personalized medicine -- 5.1 Introduction -- 5.2 Deep neural networks -- 5.2.1 Recurrent neuronal networks -- 5.2.2 Long short-term memory recurrent neural network -- 5.2.3 Bidirectional LSTM -- 5.2.4 Multilayer networks -- 5.3 Direct multistep ahead prediction strategy -- 5.4 System description -- 5.4.1 Dataset description -- 5.4.2 Neuronal network configuration using CGM -- 5.5 Results -- 5.6 Conclusion and discussion
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| 650 |
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0 |
|a Biomedical engineering.
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| 650 |
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0 |
|a Precision medicine.
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| 650 |
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0 |
|a Feedback control systems.
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| 650 |
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2 |
|a Precision Medicine
|0 (DNLM)D057285
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| 650 |
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6 |
|a G�enie biom�edical.
|0 (CaQQLa)201-0021888
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| 650 |
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6 |
|a M�edecine de pr�ecision.
|0 (CaQQLa)000288678
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| 650 |
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6 |
|a Syst�emes �a r�eaction.
|0 (CaQQLa)201-0010970
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| 650 |
|
7 |
|a biomedical engineering.
|2 aat
|0 (CStmoGRI)aat300250642
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| 650 |
|
7 |
|a Biomedical engineering
|2 fast
|0 (OCoLC)fst00832568
|
| 650 |
|
7 |
|a Feedback control systems
|2 fast
|0 (OCoLC)fst00922447
|
| 650 |
|
7 |
|a Precision medicine
|2 fast
|0 (OCoLC)fst01910010
|
| 700 |
1 |
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|a Hernandez-Vargas, Esteban A.
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| 776 |
0 |
8 |
|i ebook version :
|z 9780323906654
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| 776 |
0 |
8 |
|c Original
|z 0323901719
|z 9780323901710
|w (OCoLC)1273075149
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| 856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780323901710
|z Texto completo
|
