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June 18, 2020 - In addition, the paper assesses whether machine learning algorithms can accurately predict whether a
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December 19, 2017 - Medical Expenditure Panel Survey - Household Participant
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December 19, 2017 - Medical Expenditure Panel Survey - Household Participant
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meps.ahrq.gov/data_files/publications/st539/stat539.pdf
February 01, 2022 - Healthcare Expenditures for Treatment of Mental Disorders: Estimates for Adults Ages 18 and Older, U.S. Civilian Noninstitutionalized Population, 2019
February 2022
Healthcare Expenditures for Treatment of Mental
Disorders: Estimates for Adults Ages 18 and Older, U.S.
Civilian Noninstitutionalized Population, 201…
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meps.ahrq.gov/data_files/publications/workingpapers/wp_20001.pdf
June 01, 2020 - ........................................................................ 19
6 Prediction: Machine Learning … In addition, the paper
assesses whether machine learning algorithms can accurately predict whether a … To
Page 2 of 33
quantify the degree of miscounting, machine learning algorithms are used to … In the next portion of the analyses, machine learning models were used to predict reporting status. … “Neural Net” is a deep learning algorithm.
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December 12, 2008 - Medical Expenditure Panel Survey - Employer Participant
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December 12, 2008 - Medical Expenditure Panel Survey - Employer Participant
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January 15, 2021 - Medical Expenditure Panel Survey Participants' Corner
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January 15, 2021 - Medical Expenditure Panel Survey Participants' Corner
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August 04, 2004 - Tools and Resources for Better Health Care AHRQ 03-0008
9 Reducing Costs in the Health Care System: Learning
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January 01, 2015 - MEPS-DCS Self 2016 v4 (40032 - Activated, Traditional).xps
1
Form Approved
OMB #0935-0118
Exp. Date 12/31/2018
A Survey About Your Diabetes Care
The care of people with diabetes is an important concern of the U.S. Department
of Health and Human Services. Please take a few minutes to answer the
following questions …
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meps.ahrq.gov/data_files/publications/st539/stat539.shtml
February 01, 2022 - STATISTICAL BRIEF #539: Healthcare Expenditures for Treatment of Mental
Disorders: Estimates for Adults Ages 18 and Older, U.S. Civilian
Noninstitutionalized Population, 2019
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Medical Expenditure Panel Survey General User Information
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January 01, 2023 - Medical Expenditure Panel Survey Home
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January 01, 2023 - Medical Expenditure Panel Survey Home
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January 01, 2023 - Medical Expenditure Panel Survey Home
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meps.ahrq.gov/data_files/publications/workingpapers/wp_19003.pdf
March 25, 2019 - problems
performing everyday functions such as seeing, hearing, communication, self-care, mobility,
learning … and applying knowledge
• Hearing activity limitations: Chapter 1, Learning and applying knowledge … +0.06
Note: Seeing activity limitations correspond to ICF Activities and participation Chapter 1, Learning … +0.08
Note: Hearing activity limitations correspond to ICF Activities and participation Chapter 1, Learning … Seeing and Hearing activity limitations—ICF Chapter 1, Learning and applying
knowledge
The actual
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MEPS
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MEPS
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