References
- Gialanella B, Santoro R, Ferlucci C. Predicting outcome after stroke: the role of basic activities of daily living predicting outcome after stroke. Eur J Phys Rehabil Med. 2013; 49(5): 629–37.
- Sakurai H, Tsujimura T, Sugiura Y, Kimura Y, Kawamura T, Okanisi T et al. Determinants of return to home after stroke: an analysis based on FIM scores. J Phys Ther Sci. 2011; 23(2): 283–7. doi: 10.1589/jpts.23.283.
- Fujita T, Yamamoto Y, Yamane K, Ohira Y, Otsuki K, Sone T et al. Interactions of cognitive and physical functions associated with toilet independence in stroke patients. J Stroke Cerebrovasc Dis. 2021; 30(4): 105641. doi: 10.1016/j.jstrokecerebrovasdis.2021.105641.
- Sato A, Okuda Y, Fujita T, Kimura N, Hoshina N, Kato S et al. Cognitive and physical functions related to the level of supervision and dependence in the toileting of stroke patients. Phys Ther Res. 2016; 19(1): 32–8. doi: 10.1298/ptr.e9904.
- Koike Y, Sumigawa K, Koeda S, Shiina M, Fukushi H, Tsuji T et al. Approaches for improving the toileting problems of hemiplegic stroke patients with poor standing balance. J Phys Ther Sci. 2015; 27(3): 877–81. doi: 10.1589/jpts.27.877.
- Irisawa H, Mizushima T. Correlation of body composition and nutritional status with functional recovery in stroke rehabilitation patients. Nutrients. 2020; 12(7): 1923. doi: 10.3390/nu12071923.
- Dimitriadis SI, Liparas D, Alzheimer’s Disease Neuroimaging Initiative. How random is the random forest? Random forest algorithm on the service of structural imaging biomarkers for Alzheimer’s disease: from Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. Neural Regen Res. 2018; 13(6): 962–70. doi: 10.4103/1673-5374.233433.
- Shiozu H, Kimura D, Iwanaga R, Kurasawa S. Participation as a predictor of quality of life among Japanese children with neurodevelopmental disorders analyzed using a machine learning algorithm. Children (Basel). 2024; 11(5): 603. doi: 10.3390/children11050603.
- Bizen H, Kimura D. Classifying learning speed using brain networks and psychological states: unraveling the interdependence between learning performance, psychological states, and brain functions. Cureus. 2024; 16(9): e70133. doi: 10.7759/cureus.70133.
- Akkoç Y, Bardak AN, Ersöz M, Yılmaz B, Yıldız N, Erhan B et al. Post-stroke lower urinary system dysfunction and its relation with functional and mental status: a multicenter cross-sectional study. Top Stroke Rehabil. 2019; 26(2): 136–41. doi: 10.1080/10749357.2018.1555389.
- Gelber DA, Good DC, Laven LJ, Verhulst SJ. Causes of urinary incontinence after acute hemispheric stroke. Stroke. 1993; 24(3): 378–82. doi: 10.1161/01.str.24.3.378.
- Bizovičar N, Mali B, Goljar N. Clinical risk factors for post-stroke urinary incontinence during rehabilitation. Int J Rehabil Res. 2020; 43(4): 310–5. doi: 10.1097/MRR.0000000000000424.
- Kawanabe E, Suzuki M, Tanaka S, Sasaki S, Hamaguchi T. Impairment in toileting behavior after a stroke. Geriatr Gerontol Int. 2018; 18(8): 1166–72. doi: 10.1111/ggi.13435.
- Patel M, Coshall C, Rudd AG, Wolfe CD. Natural history and effects on 2-year outcomes of urinary incontinence after stroke. Stroke. 2001; 32(1): 122–7. doi: 10.1161/01.str.32.1.122.
- Mehdi Z, Birns J, Bhalla A. Post-stroke urinary incontinence. Int J Clin Pract. 2013; 67(11): 1128–37. doi: 10.1111/ijcp.12183.
- Mihejeva I, Vētra A. Correlation between urinary incontinence and localization of brain lesion and severity of neurological lesion caused by a stroke. SHS Web Conf. 2012; 2: 00020. doi: 10.1051/shsconf/20120200020.
- Brittain KR, Peet SM, Castleden CM. Stroke and incontinence. Stroke. 1998; 29(2): 524–8. doi: 10.1161/01.str.29.2.524.
- Porter MM, Vandervoort AA, Lexell J. Aging of human muscle: structure, function and adaptability. Scand J Med Sci Sports. 1995; 5(3): 129–42. doi: 10.1111/j.1600-0838.1995.tb00026.x.
- Tangestani Fard M, Stough C. A review and hypothesized model of the mechanisms that underpin the relationship between inflammation and cognition in the elderly. Front Aging Neurosci. 2019; 11: 56. doi: 10.3389/fnagi.2019.00056.
- Nishioka S, Wakabayashi H, Nishioka E, Yoshida T, Mori N, Watanabe R. Nutritional improvement correlates with recovery of activities of daily living among malnourished elderly stroke patients in the convalescent stage: a cross-sectional study. J Acad Nutr Diet. 2016; 116(5): 837–43. doi: 10.1016/j.jand.2015.09.014.
- Zielińska-Nowak E, Cichon N, Saluk-Bijak J, Bijak M, Miller E. Nutritional supplements and neuroprotective diets and their potential clinical significance in post-stroke rehabilitation. Nutrients. 2021; 13(8): 2704. doi: 10.3390/nu13082704.