In this work we investigate intra-day patterns of activity on a population of 7,261 users of mobile health wearable devices and apps. We show that: (1) using intra-day step and sleep data recorded from passive trackers significantly improves classification performance on self-reported chronic conditions related to mental health and nervous system disorders, (2) Convolutional Neural Networks ach...

We present an automatic iris color classification method suitable for predicting human eye color. The proposed method combines the abilities of intra-palette merging clustering technique with a thorough measurement of the iris color using the MartinSchultz scale. Intra-palette merging ensures the minimum set of group colors suitable for correctly representing the color information within human ...

Serial bone scintigraphy in Legg-Calvé-Perthes disease (LCP) has a good early prognostic value. So far, no intra- and inter-observer reliability study on this classification has been published. Serial technetium scintigraphy of the hips was performed in 40 children with LCP disease, and the hips were classified based on their scintigraphic patterns according to Conway. Forty hips were classifie...

INTRODUCTION Developmental dysplasia of the hip (DDH) leads to multiple treatment challenges during adulthood. Surgical treatment is mainly based on radiographic evaluation of the anatomical alterations. Several classification systems have been described in the published English scientific literature, but the French Cochin classification has not been used very much. Its primary advantage lies i...

The Internet provides easy access to a kind of library resources. However, classification of documents from a large amount of data is still an issue and demands time and energy to find certain documents. Classification of similar documents in specific classes of data can reduce the time for searching the required data, particularly text documents. This is further facilitated by using Artificial...

BACKGROUND Fractures of the proximal radius need to be classified in an appropriate and reproducible manner. The aim of this study was to assess the reliability of the three most widely used classification systems. METHODS Elbow radiographs images of patients with proximal radius fractures were classified according to Mason, Morrey, and Arbeitsgemeinschaft für osteosynthesefragen/Association ...

The reproducibility of the AO classification for distal radius fractures remains a topic of debate. Previous studies showed variable reproducibility results. Important treatment decisions depend on correct classification, especially in comminuted, intra-articular fractures. Therefore, reliable reproducibility results need to be undisputedly determined. Hence, the study objective was to assess i...