Innovative Clinical Trial Launches to Enhance Seizure Monitoring and
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
-18% Somewhat Left
- Politician Portrayal
N/A
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Bias Score Analysis
The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
8% Positive
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
Liberal
100%
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Contributing sentiments towards policy:
61% : This initiative builds on pioneering research led by Professor Norman Delanty, whose earlier study employed a previous generation of the UNEEG technology.54% : Furthermore, distinguishing epileptic seizures from other non-epileptic events has historically been challenging; long-term sqEEG monitoring offers a crucial step forward in resolving such diagnostic ambiguities.
44% : By capturing electrical signals from the brain continuously, this subcutaneous device offers the potential to uncover seizure activity and brain abnormalities that often elude brief EEG recordings and patient self-reporting.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.
