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    Machine Learning for Healthcare
    This organization is not rated
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    Impact & Measurement
    Accountability & Finance
    Culture & Community
    Leadership & Adaptability

    Machine Learning for Healthcare

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    501(c)(3) organization
    Donations are tax-deductible
    2108 N ST
    San Diego CA 95816-5712

    San Diego CA | IRS ruling year: 2017 | EIN: 81-5305636  
    An EIN is a unique nine-digit number that identifies a business for tax purposes.
    An EIN is a unique nine-digit number that identifies a business for tax purposes.
     
    Organization Mission
    MACHINE LEARNING FOR HEALTHCARE (MLHC) IS AN ANNUAL RESEARCH MEETING THAT BRINGS TOGETHER COMPUTATIONAL AND CLINICAL SCIENTISTS TO TURN COMPLEX MEDICAL DATA INTO ACT ... (More)
     

    Rating Information

    Not currently rated


    Ratings are calculated from one or more beacon scores. Currently, we require either an Accountability & Finance beacon or an Impact & Measurement beacon to be eligible for a Charity Navigator rating. Note: The absence of a rating does not indicate a positive or negative assessment; it only indicates that we have not yet evaluated this organization.
    See rating report below to learn why this organization is not currently eligible.

    Historical Ratings
    Charity Navigator's ratings previously did not consider Leadership & Adaptability, Culture & Community, or Impact & Measurement. The historic rating mainly reflects a version of today’s Accountability and Finance score. More information on our previous rating methodologies can be found on our rating methodology page.
     
    Rating histories are available for a growing number of rated organizations. Check back later to see if this organization has a rating history!

    Rating Report

    Impact & Measurement
    Not Currently Scored
    Machine Learning for Healthcare cannot currently be evaluated by our Impact & Measurement methodology because either (A) it is eligible, but we have not yet received data; (B) we have not yet developed an algorithm to estimate its programmatic impact; (C) its programs are not direct services; or (D) it is not heavily reliant on contributions from individual donors.
    Note: The absence of a score does not indicate a positive or negative assessment, it only indicates that we have not yet evaluated the organization.
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