Publications by authors named "Rafael Jimenez Silva"

In many aspects of human research, capturing multiple measures from the same participant is common due to the symmetric nature of the human body (e.g., two eyes, ten fingers, two legs, etc.

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This paper describes the identification of body function (BF) mentions within the clinical text within a large, national, heterogeneous corpus to highlight structural challenges presented by the clinical text. BF in clinical documents provides information on dysfunction or impairments in the function or structure of organ systems or organs. BF mentions are embedded in highly formatted structures where the formats include implied scoping boundaries that confound existing natural language processing segmentation and document decomposition techniques.

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Background: Invaluable information on patient functioning and the complex interactions that define it is recorded in free text portions of the Electronic Health Record (EHR). Leveraging this information to improve clinical decision-making and conduct research requires natural language processing (NLP) technologies to identify and organize the information recorded in clinical documentation.

Methods: We used natural language processing methods to analyze information about patient functioning recorded in two collections of clinical documents pertaining to claims for federal disability benefits from the U.

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Introduction: Melorheostosis is a rare bone disorder with limited literature that describes the effect of this disease on functional and motor abilities. As part of a natural history study, four outcome measures were administered to better understand the burden this disease has on a person's ability to engage in basic and instrumental activities of daily living.

Objective: To investigate the relationship between functional engagement, fatigue, and motor ability in patients with melorheostosis.

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Due to the multifactorial nature of patellofemoral pain, it is often difficult to identify an individual patient's exact cause of pain. Understanding how demographic variability influences these various factors will support improved consensus in regards to the etiology of PF pain. Thus, in this retrospective study, we tested the hypothesis that sex, height, weight, body mass index (BMI), and age influence the determination of between-groups differences in PF kinematics.

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Introduction: Spinal and bulbar muscular atrophy (SBMA) is a neuromuscular disorder that leads to progressive weakness of bulbar and extremity muscles. Dynamic balance during functional tasks has not been reported in people with SBMA.

Objectives: (1) To evaluate the ability to safely complete a forward lunge (FL), step quick turn (SQT), and step up and over (SUO), (2) to determine the presence and severity of dynamic balance impairments by comparing performance to normative data, and (3) to investigate the relationship between lower extremity strength and ability to complete each task.

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Synopsis of recent research by authors named "Rafael Jimenez Silva"

  • - Rafael Jimenez Silva's recent research primarily revolves around the assessment of functional abilities and clinical documentation, utilizing advanced methodologies such as natural language processing (NLP) to extract valuable data from clinical texts and improve patient care.
  • - His studies on specific conditions, such as melorheostosis and spinal and bulbar muscular atrophy, aim to understand the relationships between functional engagement, fatigue, and motor abilities, addressing gaps in literature for rare disorders.
  • - Additionally, his work emphasizes the importance of demographic factors in biomechanical assessments, particularly in conditions like patellofemoral pain syndrome, which can lead to enhanced clinical understanding and individualized treatment approaches.