Development of an effective clustering algorithm for older fallers

Falls are common and often lead to serious physical and psychological consequences for older persons. The occurrence of falls are usually attributed to the interaction between multiple risk factors. The clinical evaluation of falls risks is time-consuming as a result, hence limiting its availability...

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Veröffentlicht in:	PloS one Jg. 17; H. 11; S. e0277966
Hauptverfasser:	Goh, Choon-Hian, Wong, Kam Kang, Tan, Maw Pin, Ng, Siew-Cheok, Chuah, Yea Dat, Kwan, Ban-Hoe
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 28.11.2022 Public Library of Science (PLoS)
Schlagworte:	Aged Aged, 80 and over Algorithms Analysis Balance Biology and Life Sciences Clinical decision making Clinical medicine Cluster Analysis Clustering Cognitive ability Data collection Datasets Decision support systems Embedding Falls Falls (Accidents) Feature extraction Feature selection Gait Health aspects Health risks Hospitals Humans Hypothesis testing Medicine and Health Sciences Missing data Muscle Strength Older people Physical Sciences Physiological aspects Principal Component Analysis Principal components analysis Research and Analysis Methods Risk analysis Risk Factors Risk groups Statistical analysis Stochasticity Vector quantization Malaysia
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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