recodehive / machine-learning-repos

A curated list of awesome machine learning frameworks, libraries and software (by language). I
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💡[Feature]: High-Risk (adding a new feature in asthma prediction) #604

Closed anushkasaxena07 closed 1 month ago

anushkasaxena07 commented 2 months ago

Is there an existing issue for this?

Feature Description

new feature called High-Risk which will indicate whether a patient is in a high-risk category for asthma based on their symptoms. We'll define High-Risk as having a score of 1 for any two or more of the following symptoms: Difficulty-in-Breathing, Nasal-Congestion, and Sore-Throat.

Use Case

Clinical Decision Support:

Use Case: Doctors and healthcare providers can use the High-Risk feature to quickly identify patients who may require more urgent attention or intensive care. Implementation: In a hospital's Electronic Health Record (EHR) system, this feature can flag patients with a High-Risk status, prompting healthcare providers to prioritize their examination and treatment. Preventive Health Programs:

Use Case: Public health officials can use the High-Risk feature to target preventive measures and educational programs more effectively. Implementation: By analyzing data from various communities, officials can identify high-risk populations and deploy resources such as free health check-ups, asthma management workshops, and distribution of preventive medications. Remote Monitoring and Telehealth:

Use Case: Patients with a High-Risk status can be monitored remotely using telehealth services to ensure they manage their symptoms effectively. Implementation: Remote monitoring devices can send regular updates to healthcare providers about patients' symptoms. If a patient's status changes to High-Risk, the system can automatically schedule a telehealth appointment or send alerts to the patient and their caregivers. Insurance Risk Assessment:

Use Case: Insurance companies can use the High-Risk feature to assess the risk levels of their clients and adjust premiums or coverage plans accordingly. Implementation: Insurance companies can integrate this feature into their risk assessment models to offer personalized insurance plans and proactive health management services to high-risk clients.

Benefits

No response

Add ScreenShots

No response

Priority

High

Record

github-actions[bot] commented 2 months ago

Thank you for creating this issue! 🎉 We'll look into it as soon as possible. In the meantime, please make sure to provide all the necessary details and context. If you have any questions reach out to LinkedIn. Your contributions are highly appreciated! 😊

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anushkasaxena07 commented 2 months ago

@sanjay-kv plz assign this issue to me

github-actions[bot] commented 1 month ago

Hello @anushkasaxena07! Your issue #604 has been closed. Thank you for your contribution!