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Related Concept Videos

Self-Help Support Groups01:28

Self-Help Support Groups

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Self-help support groups are voluntary, community-based organizations that provide a platform for individuals with shared concerns to exchange support, insights, and practical strategies for coping with life challenges. Typically led by group members or paraprofessionals, these groups form a cornerstone of mental health care, especially in reaching populations that are underserved by traditional healthcare systems.
Accessibility and Cost-Effectiveness
One of the primary strengths of self-help...
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Transcription Factors02:16

Transcription Factors

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Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
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Decision Making01:20

Decision Making

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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
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Support Reactions01:30

Support Reactions

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A coplanar force system refers to a set of forces that all lie in the same plane and are subject to different reactions between the point of contact and the supports. Understanding how different types of supports affect coplanar forces is crucial for designing safe and reliable structures that can withstand external loads.
The purpose of the supports is to prevent the translational motion of the system by applying an equal and opposite force and to prevent the system's rotation by applying...
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Second Order systems II01:18

Second Order systems II

406
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
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Support Reactions in Three Dimensions01:27

Support Reactions in Three Dimensions

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Support reactions in three dimensions help maintain the stability and equilibrium of various structures and systems. These reactions prevent the system from translating and rotating, ensuring the design can withstand external forces and perform its intended function efficiently and safely. Some of the supports providing support reactions in three dimensions are discussed below:
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A Human(e) Factor in Clinical Decision Support Systems.

Tim Bezemer1, Mark Ch de Groot1, Enja Blasse1

  • 1Laboratory of Clinical Chemistry and Haematology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.

Journal of Medical Internet Research
|March 20, 2019
PubMed
Summary
This summary is machine-generated.

Healthcare professionals must collaborate with data scientists to leverage big data for improved patient care. By integrating expert knowledge and ethical considerations, they can guide technology to translate complex data into tangible patient benefits.

Keywords:
artificial intelligencebig dataclinical decision supportdata sciencedeep learningexpert systemshealth care providersmachine learningprecision medicine

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Area of Science:

  • Health Informatics
  • Data Science
  • Clinical Decision Support

Background:

  • The exponential growth of big data in healthcare surpasses human cognitive capacity.
  • Advancements in data analytics and computational power offer real-time clinical insights.
  • The evolving healthcare landscape necessitates a redefinition of professional roles.

Purpose of the Study:

  • To define the role of healthcare professionals in collaboration with data scientists.
  • To outline how healthcare professionals can contribute expert knowledge to clinical decision support systems.
  • To advocate for responsible integration of big data analytics in patient care.

Main Methods:

  • Discussion of healthcare professional involvement at data, algorithm, and decision support levels.
  • Consideration of ethical implications in big data utilization.
  • Emphasis on interprofessional collaboration, including patients.

Main Results:

  • Healthcare professionals are crucial in guiding the design and implementation of clinical decision support systems.
  • Ethical considerations are paramount for responsible big data translation.
  • Interprofessional teams, led by healthcare professionals, can effectively utilize novel analytic technologies.

Conclusions:

  • Healthcare professionals should proactively lead collaborations with data scientists and patients.
  • Embracing big data analytics, guided by human values, can enhance patient outcomes.
  • The integration of big data requires a human-centered approach to ensure ethical and effective application.