Machine learning models to estimate disease activity measures in real-world data sources: lessons learned from four autoimmune diseases

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Research output: Contribution to journal › Meeting abstract › peer-review

Original language	English
Article number	MSR99
Pages (from-to)	S295-S295
Number of pages	1
Journal	Value in Health
Volume	26
Issue number	6
DOIs	https://doi.org/10.1016/j.jval.2023.03.2754
Publication status	Published - Jun 2023
Externally published	Yes
Event	ISPOR 2023: Impacting innovation, value and healthcare decisio making - Boston, United States Duration: 7 May 2023 → 10 May 2023

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title = "Machine learning models to estimate disease activity measures in real-world data sources: lessons learned from four autoimmune diseases",

author = "P. Alves and A. Spencer and J. Bandaria and M. Leavy and S. Weiss and G. Curhan and C. Marci and C. Boussios",

year = "2023",

month = jun,

doi = "10.1016/j.jval.2023.03.2754",

language = "English",

volume = "26",

pages = "S295--S295",

journal = "Value in Health",

issn = "1098-3015",

publisher = "Elsevier Ltd.",

number = "6",

note = "ISPOR 2023 : Impacting innovation, value and healthcare decisio making ; Conference date: 07-05-2023 Through 10-05-2023",

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TY - JOUR

T1 - Machine learning models to estimate disease activity measures in real-world data sources

T2 - ISPOR 2023

AU - Alves, P.

AU - Spencer, A.

AU - Bandaria, J.

AU - Leavy, M.

AU - Weiss, S.

AU - Curhan, G.

AU - Marci, C.

AU - Boussios, C.

PY - 2023/6

Y1 - 2023/6

U2 - 10.1016/j.jval.2023.03.2754

DO - 10.1016/j.jval.2023.03.2754

M3 - Meeting abstract

SN - 1098-3015

VL - 26

SP - S295-S295

JO - Value in Health

JF - Value in Health

IS - 6

M1 - MSR99

Y2 - 7 May 2023 through 10 May 2023

ER -