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Thousands of assistive-technology devices have been developed, and multiple classification systems have been created in an attempt to organize them for professionals and patients.
Multiple classification systems have been proposed for femoral head fractures [2, 3, 4, 5].
Multiple classification systems for ecosystem services (ES) make comparison and integration between studies and assessments very difficult.
Three studies compared multiple classification systems applied to the same populations.
Multiple classification systems have been proposed, based on clinical indications, "degree of urgency", or patient characteristics, but none have been extensively implemented [ 33].
Until recently, multiple classification systems based on anatomical segments or morphological patterns of fracture were used simultaneously to describe long bone fractures.
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The multiple classifications systems in use are often complex and are primarily focused on high-income countries.
Global stillbirth cause-of-death estimates are impeded by multiple, complex classification systems.
Geneticists reported multiple VUS classification systems; the most commonly used was word-based in 32%%.
Multiple back pain classification systems and terms exist and many health professionals use medical terms in various ways reflecting habit, experience, personal views and professional background [ 5].
In this paper, we describe techniques for designing high-performance pattern classification systems using multiple hierarchical overlapped self-organising maps (HOSOM) (Suganthan, Proceedings of the International Joint Conference on Neural Networks, WCCI'98, Alaska, 1998).
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