Streamlining the KOOS Activities of Daily Living Subscale Using Machine Learning
نویسندگان
چکیده
منابع مشابه
Predicting activities of daily living for cancer patients using an ontology-guided machine learning methodology
BACKGROUND Bio-ontologies are becoming increasingly important in knowledge representation and in the machine learning (ML) fields. This paper presents a ML approach that incorporates bio-ontologies and its application to the SEER-MHOS dataset to discover patterns of patient characteristics that impact the ability to perform activities of daily living (ADLs). Bio-ontologies are used to provide c...
متن کاملThe technology - activities of daily living questionnaire: a version with a technology-related subscale.
BACKGROUND Information and communication technology (ICT) has become an increasingly important part of daily life. The ability to use technology is becoming essential for autonomous functioning in society. Current functional scales for patients with cognitive impairment do not evaluate the use of technology. The objective of this study was to develop and validate a new version of the Activities...
متن کاملthe relationship between using language learning strategies, learners’ optimism, educational status, duration of learning and demotivation
with the growth of more humanistic approaches towards teaching foreign languages, more emphasis has been put on learners’ feelings, emotions and individual differences. one of the issues in teaching and learning english as a foreign language is demotivation. the purpose of this study was to investigate the relationship between the components of language learning strategies, optimism, duration o...
15 صفحه اولTesting and Analysis of Activities of Daily Living Data with Machine Learning Algorithms
It is estimated that 28% of European Union’s population will be aged 65 or older by 2060. Europe is getting older and this has a high impact on the estimated cost to be spent for older people. This is because, compared to the younger generation, older people are more at risk to have/face cognitive impairment, frailty and social exclusion, which could have negative effects on their lives as well...
متن کاملInteractive Techniques for Labeling Activities Of Daily Living to Assist Machine Learning
Over the next decade, as healthcare continues its march away from the hospital and towards the home, logging and making sense of activities of daily living will play a key role in health modeling and life-long home care. Machine learning research has explored ways to automate the detection and quantification of these activities in sensor-rich environments. While we continue to make progress in ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Orthopaedic Journal of Sports Medicine
سال: 2020
ISSN: 2325-9671,2325-9671
DOI: 10.1177/2325967120910447