Detecting knee osteoarthritis and its discriminating parameters using random forests.

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Artificial intelligence, machine learning and the evolution of healthcare: A bright future or cause for concern?Machine Learning in Orthopedics: A Literature Review.

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Detecting knee osteoarthritis and its discriminating parameters using random forests.

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2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

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Detecting knee osteoarthritis and its discriminating parameters using random forests.

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Detecting knee osteoarthritis and its discriminating parameters using random forests.

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Detecting knee osteoarthritis and its discriminating parameters using random forests.

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P1476

Detecting knee osteoarthritis and its discriminating parameters using random forests.

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Aldo A Faisal

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Alison H McGregor

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Lynsey D Duffell

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Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010

The manipulative complexity of Lower Paleolithic stone toolmaking

A machine learning approach for automated recognition of movement patterns using basic, kinetic and kinematic gait data.

Biomechanical features of gait waveform data associated with knee osteoarthritis: an application of principal component analysis.

Automatic classification of asymptomatic and osteoarthritis knee gait patterns using kinematic data features and the nearest neighbor classifier.

Varus thrust and knee frontal plane dynamic motion in persons with knee osteoarthritis.

Random forests for genomic data analysis.

Knee replacement.

EULAR evidence-based recommendations for the diagnosis of knee osteoarthritis.

Systematic review of the concurrent and predictive validity of MRI biomarkers in OA

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19-29

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scholarly article

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10.1016/J.MEDENGPHY.2017.02.004

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Margarita Kotti

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2017-02-24T00:00:00Z

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28242181

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random forest

osteoarthritis

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5390773

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Detecting knee osteoarthritis and its discriminating parameters using random forests.

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P2860

P2860

Detecting knee osteoarthritis and its discriminating parameters using random forests.

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