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Gravid Kines

Gravid Kines

Gravid Kines

Gravid Kines

Gravid Kines

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The new research, done in collaboration with Tamar Krishnamurti, assistant professor at the University of Pittsburgh Gravid Kines of Medicine, uses natural language processing on text entries completed by pre- and postpartum participants to predict the likelihood that they may be experiencing depression or Gravid Kines partner violenceas indicated through validated measures.

Depression and intimate partner violence are serious concerns that can be difficult to identify within the limited confines of standard medical practice.

A partner experiencing violence at home may fear reprisal from their abuser for speaking up, while social pressure and expectations about pregnancy may prevent pregnant individuals from Gravid Kines or even recognizing their depression. Medical staff may find it difficult to spot the signs of either in routine pre- Gravid Kines postnatal care if problems occur between visits, or if individuals are unable to disclose them during visits.

In Allen, Davis and Krishnamurti's study, participants completed three responses: the first was a series of open-ended questions, the second was closed-form multiple choice, and the third was several risk assessments adapted from existing depression and intimate partner violence batteries. Open-ended questions asked participants to discuss their mood, recent experiences and feelings about pregnancy or motherhood. They also used topic modeling and indexing methods to weight Restoranas Erfurtas by topic, allowing them to quantify the likely subject of a statement.

The features they identified were informative indicators for the presence or absence of depression, while closed-form questions about partner conflict were better at predicting intimate partner violence. For example, Davis and Krishnamurti are using a mobile health application called MyHealthyPregnancy in their ongoing Tupp Snopp to explore these questions with those who may feel uncomfortable or Gravid Kines to disclose information in a standard medical environment.

Of course, any implementation in the real-world requires carefully communicating the purpose of the journal entries to pregnant individuals to obtain their informed consent. The goal is to broaden understanding of how risks manifest in language, to provide as many opportunities as possible for medical practitioners to spot signs of depression and intimate partner violence, and Gravid Kines offer them additional tools to support patients.

For those practitioners, this study also has identified particular feelings expressed by participants that might be indicators of risks. One cue for potential intimate partner violence were feelings of a "lack of support," while clues for depression included a high negative or low positive sentiment, and a "physical depletion" topic indicating exhaustion. Information like this is not only useful for diagnosing the problem, but also can offer doctors and practitioners additional insights into how violence is perpetrated and conditions like depression manifest.

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Gravid Kines

Gravid Kines

The new research, done in collaboration with Tamar Krishnamurti, assistant professor at the University of Pittsburgh School of Medicine, uses natural language processing on text entries completed by pre- and postpartum participants to predict the likelihood that they may be experiencing depression or intimate partner violence , as indicated through validated measures. Depression and intimate partner violence are serious concerns that can be difficult to identify within the limited confines of standard medical practice.

Gravid Kines

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Gravid Kines

Gravid Kines

Gravid Kines

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