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Prevention and Management of Frailty
| Prevention and Management of Frailty |
| Autore | Byeon Haewon |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (284 p.) |
| Soggetto topico | Public health & preventive medicine |
| Soggetto non controllato |
brain stimulation
dementia meta-analysis naming primary progressive aphasia qualitative evaluation cognitive function data mining Parkinson’s disease with mild cognitive impairment random forest neuropsychological test motoric cognitive risk syndrome fall gait speed three-item recall older adults mixing ability color-changing chewing gum frailty cross-sectional study spousal concordance aging aged accidental falls pain mild cognitive impairment depressive symptoms frailty profiles latent class analysis quality of life perceived health frailty syndrome physiotherapy exercise mood BDI STAI SWLS muscle strength community-dwelling older adults physical frailty prevalence risk factors non-robust FRAIL scale Tilburg Frailty Indicator determinants community-based sleep quality middle-aged and older adults SUNFRAIL psychometric properties screening tool social isolation social networks social support social participation Parkinson’s disease dementia instrumental activities of daily living clinical dementia rating convergence rate neuropsychological tests neuropsychiatric symptoms explainable artificial intelligence machine learning stacking ensemble Self-Rating Anxiety Scale multiple risk factors fall assessment sheet elderly patients hospitalization risk management driving cessation meaningful activities psychosomatic functions physical functional performance nursing homes physical fitness gait analysis indicators screening artificial intelligence healthcare frail Baduanjin strength training endurance training Explainable Artificial Intelligence |
| ISBN | 3-0365-5372-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619470503321 |
Byeon Haewon
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Symmetric and Asymmetric Data in Solution Models
| Symmetric and Asymmetric Data in Solution Models |
| Autore | Kazimieras Zavadskas Edmundas |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (359 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
aerial imagery
Analytic Hierarchy Process ARAS artificial neural networks (ANNs) asymmetric data asymmetric underactuated bibliometric analysis Big Data Big Data analysis Bowden cable buckling burst detection analysis civil engineering co-citation combined compromise solution (CoCoSo) construction project cost overrun COVID-19 criteria importance through inter-criteria correlation (CRITIC) criteria weighting DANP-mV model decision making direct rating e-commerce development strategies e-learning courses earned value management (EVM) electromyogram entropy EOQ Euclidean distance failure probability feature extraction fuzzy Analytic Hierarchy Process fuzzy sets gray values Hamming distance interval-valued triangular fuzzy numbers land Big Data land price landscape limit states location selection lossy compression lot size macro factor mathematical model matrix question MCDM micro factor multiple regression analysis multiple-criteria decision-making neutrosophic neutrosophic set neutrosophic sets pattern recognition performance analysis quadripartitioned bipolar neutrosophic sets qualitative evaluation quantile R and Python real estate market rehabilitation rehabilitation device reliability reordering time road industry robotic exoskeleton safety sensitivity analysis similarity measure single-valued neutrosophic sets solution models stability subquantile superquantile supply chain survey symmetric and asymmetric fuzzy numbers symmetric and asymmetric trajectory symmetric data symmetry Symmetry temporary hospital TOPSIS uncertainty video processing data visual analogue scales (VAS) WASPAS WASPAS-SVNS Web of Science Wilson's formulation window parameters |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557693203321 |
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Kazimieras Zavadskas Edmundas
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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