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Machine Learning For Healthcare

Learn about this cause: Is it Legit? Do I like the mission? What is the CEO's salary?

EIN: 815305636 ✦ Sacramento, CA ✦ Designated as a 501(c)(3)

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Overview

What is Machine Learning For Healthcare?

Machine Learning for Healthcare, abbreviated as mlhc, is an annual gathering that unites computational and clinical scientists. Their primary objective is to transform intricate medical data into valuable insights, which subsequently enhances patient care within the healthcare sector. By facilitating collaboration between these two disciplines, mlhc aims to translate complex information into actionable knowledge that positively impacts patient care. This event serves as a platform for knowledge exchange and innovation in healthcare, ultimately contributing to improved patient outcomes.

Is Machine Learning For Healthcare legitimate?

Machine Learning For Healthcare is a legitimate nonprofit organization registered as a 501(c)(3) entity. Machine Learning For Healthcare submitted a form 990EZ, which is a tax form used by tax-exempt organizations in the U.S., indicating its operational transparency and adherence to regulatory requirements. Donations to this organization are tax deductible.

What is the mission statement of Machine Learning For Healthcare?

Machine Learning for Healthcare (mlhc) serves as an annual research gathering, bringing together computational and clinical scientists. Their primary objective is to transform intricate medical data into valuable insights that can enhance patient care in the healthcare sector. By facilitating collaboration between these two groups, mlhc aims to convert complex medical data into actionable knowledge, ultimately leading to improved patient care.

Who is the CEO of Machine Learning For Healthcare?

Finale Doshi-Velez is the President of Machine Learning For Healthcare.

What is the revenue of Machine Learning For Healthcare?

Machine Learning For Healthcare's revenue in 2022 was $97,844.

Who are the executives of Machine Learning For Healthcare and what are their salaries?


Here are 7 key members and their salaries:


David Kale (Officer)
  • Compensation: $0
  • Related: $0
  • Other: $0
Rajesh Ranganath (Officer)
  • Compensation: $0
  • Related: $0
  • Other: $0
Ken Jung (Officer)
  • Compensation: $0
  • Related: $0
  • Other: $0
Jenna Wiens (Secretary)
  • Compensation: $0
  • Related: $0
  • Other: $0
Finale Doshi-Velez (President)
  • Compensation: $0
  • Related: $0
  • Other: $0
Byron Wallace (Vice President)
  • Compensation: $0
  • Related: $0
  • Other: $0
James Fackler (Treasurer)
  • Compensation: $0
  • Related: $0
  • Other: $0
Where can I find the form 990EZ for Machine Learning For Healthcare?

Machine Learning For Healthcare's most recent form 990EZ was submitted in 2022 and can be accessed here.

Mission Statement of Machine Learning For Healthcare

Machine Learning for Healthcare (MLHC) is an annual event that serves as a platform for bringing together computational and clinical scientists. The primary mission of MLHC is to transform intricate medical data into valuable insights that can enhance patient care in the healthcare sector. By convening experts from both computational and clinical fields, MLHC aims to convert complex medical data into actionable knowledge, thereby significantly improving patient care.

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Impact




October, 2024

Machine Learning for Healthcare has a significant impact on the medical field by bridging the gap between computational science and clinical practice. It fosters collaboration among computational and clinical scientists, enabling them to analyze complex medical data and extract actionable insights. This annual research meeting serves as a platform for sharing innovative approaches to data-driven healthcare solutions.

By leveraging advanced machine learning techniques, researchers can identify patterns and trends in patient data that may not be visible through traditional methods. These insights can lead to improved diagnostics, personalized treatment plans, and more effective management of diseases. Additionally, the work done at Machine Learning for Healthcare contributes to better patient outcomes and enhanced operational efficiencies within healthcare institutions.

Through the integration of machine learning in healthcare, practitioners are better equipped to make informed decisions, ultimately striving for a system that enhances patient care and improves overall health outcomes. The collaborative environment of this research meeting plays a crucial role in disseminating knowledge and fostering advancements that can have a lasting positive effect on the healthcare landscape.




This information is meant to be a general summary of Machine Learning For Healthcare. Please take the time to review official sources before making any decisions based upon the content provided here.


Financials

This financial information is from Propublica.

Revenue
$97,844 (2022)
Expenses
$86,900 (2022)
Efficiency

Other financial information:

This information is from the most recently submitted tax form from this organization, which was in 2022.

  • Investment Income: $27
  • Gross Receipts: $97,844

Assets and Liabilities:

  • Total Assets: $132,347
  • Total Liabilities: $0
  • Net Assets: $132,347

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Organization Details

Principal Officer

Finale Doshi-Velez

Main Address

2108 N ST, SACRAMENTO, CA, 95816

NTEE Category

Code: E05 - Health

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