Response to letter to the editor regarding "Development and validation of a predictive model algorithm to identify anaphylaxis in adults with type 2 diabetes in US administrative claims data"

被引：1

作者：

Beachler, Daniel C. ^{[1
]}

Taylor, Devon H. ^{[1
]}

Anthony, Mary S. ^{[2
]}

Yin, Ruihua ^{[3
]}

Li, Ling ^{[1
]}

Saltus, Catherine W. ^{[2
]}

Li, Lin ^{[4
]}

Shaunik, Alka ^{[4
]}

Walsh, Kathleen E. ^{[5
]}

Rothman, Kenneth J. ^{[2
]}

Johannes, Catherine B. ^{[2
]}

Aroda, Vanita R. ^{[6
]}

Carr, Warner ^{[7
]}

Goldberg, Pinkus ^{[8
]}

Accardi, Andrew ^{[9
,10
]}

O'Shura, John Shane ^{[11
]}

Sharma, Kristen ^{[4
]}

Juhaeri, Juhaeri ^{[4
]}

Lanes, Stephan ^{[1
]}

Wu, Chuntao ^{[4
]}

机构：

[1] HealthCore Inc, Wilmington, DC 19801 USA

[2] RTI Hlth Solut, Waltham, MA USA

[3] Anthem Inc, Indianapolis, IN USA

[4] Sanofi, Paris, France

[5] Harvard Med Sch, Boston Childrens Hosp, Dept Pediat, Div Gen Pediat, Boston, MA 02115 USA

[6] Harvard Univ, Cambridge, MA 02138 USA

[7] Allergy & Asthma Associates Southern Calif, San Jose, CA USA

[8] Allergy Partners Cent Indiana, Indianapolis, IN USA

[9] Scripps Hlth, San Diego, CA USA

[10] SMHE, San Diego, CA USA

[11] Lower Bucks Hosp, Bristol, PA USA

来源：

PHARMACOEPIDEMIOLOGY AND DRUG SAFETY | 2022年 / 31卷 / 01期

关键词：

D O I：

10.1002/pds.5376

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

引用

页码：110 / 111

页数：2

共 50 条

[1] Development and validation of a predictive model algorithm to identify anaphylaxis in adults with type 2 diabetes in US administrative claims data
Beachler, Daniel C.
Taylor, Devon H.
Anthony, Mary S.
Yin, Ruihua
Li, Ling
Saltus, Catherine W.
Li, Lin
Shaunik, Alka
Walsh, Kathleen E.
Rothman, Kenneth J.
Johannes, Catherine B.
Aroda, Vanita R.
Carr, Warner
Goldberg, Pinkus
Accardi, Andrew
O'Shura, John Shane
Sharma, Kristen
Juhaeri, Juhaeri
Lanes, Stephan
Wu, Chuntao
[J]. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2021, 30 (07) : 918 - 926
[2] Development and validation of a machine learning algorithm to identify anaphylaxis in US administrative claims data
Beachler, Daniel C.
Taylor, Devon H.
Anthony, Mary S.
Yin, Ruihua
Li, Ling
Saltus, Catherine W.
Li, Lin
Shaunik, Alka
Walsh, Kathleen E.
Lanes, Stephan
Rothman, Kenneth J.
Johannes, Catherine
Aroda, Vanita
Carr, Warner
Goldberg, Pinkus
Accardi, Andrew
O'Shura, J. Shane
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Wu, Chuntao
[J]. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2020, 29 : 602 - 602
[3] Development and Validation of an Algorithm to Identify Endometrial Adenocarcinoma in US Administrative Claims Data
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[4] Development and Validation of an Algorithm to Identify Endometrial Adenocarcinoma in US Administrative Claims Data
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[J]. JOURNAL OF CANCER EPIDEMIOLOGY, 2019, 2019
[5] Development and Validation of an Algorithm to Identify Endometrial Hyperplasia in US Administrative Claims Data
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[6] Development and validation of a predictive model to identify patients at risk of severe COPD exacerbations using administrative claims data
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Kalsekar, I
[J]. VALUE IN HEALTH, 2015, 18 (03) : A10 - A10
[10] Development and Validation of an Algorithm for Identifying Pediatric Patients with Type 2 Diabetes in Claims Data
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[J]. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2016, 25 : 32 - 33

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