Digitalisation Flashcards

1
Q

Machine learning def

A

utilizing large datasets to identify interaction patterns among variables
- Can for example help in prediction of infectious disease distribution patterns
- Genetics can be used to study connections between genes, human traits and diseases
- Ultimate goal in Machine Learning: Development of algorithms that are capable of self-improving with experience and continuously learning from new data and insights

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2
Q

supervised method machine learning

A

classification and regression (e.g., outcome prediction in infectious diseases, detection of arrhythmia in electrocardiogram)

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3
Q

unsupervised method machine learning

A

identifies hidden patterns in the data, data exploration and novel hypotheses generation

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4
Q

technical challenges machine learning

A
  • Volume: the scale of data inputs and outputs
  • Variety: there are many different formats of data
  • Velocity: speed of streaming data
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5
Q

ethical challenges machine learning

A
  • Data privacy
    • Solution can be found in de-identification of data
  • Morality of algorithms
    -Trust: accepting recommendations provided by systems
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6
Q

WEIRD samples

A

data comes from the wealthy countries –> missing data of other populations
White, Educated, Industrialized, Rich, Democratic

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7
Q

autonomy paradox

A

using mobile devices allows you to work anywhere/anytime (increased autonomy) but can also give the feeling that you are forced to work everywhere/ all the time (reduced autonomy)

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8
Q

technostress model

A

new technologies can impact work with five techno-stressors:
- Techno-Overload
- Techno-Invasion
- Techno-Complexity
- Techno-Insecurity
- Techno-Uncertainty:

Increases strain or stress, negative emotions, burnout and exhaustion and decreases self-related health, job satisfaction and productivity/performance

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9
Q

techno-overload

A

Technology forces workers to work more and faster

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10
Q

techno-invasion

A

Invasion of private life due to technology that creates pressures of constant connectivity

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11
Q

techno-complexity

A

Technology is complex, leading to a sense of lack with regard to computer skills

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12
Q

techno-insecurity

A

workers feel threatened about losing their jobs because of new technologies

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13
Q

techno-uncertainty

A

Constant technological changes that may create stress for workers

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