The IMPACT framework and implementation for accessible in silico clinical phenotyping in the digital era.
The IMPACT framework and implementation for accessible in silico clinical phenotyping in the digital era.
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DOI：
10.1038/s41746-023-00878-9
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发表时间：
2023-07-21
影响因子：
15.2
通讯作者：
中科院分区：
文献类型：
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作者：
Clinical phenotyping is often a foundational requirement for obtaining datasets necessary for the development of digital health applications. Traditionally done via manual abstraction, this task is often a bottleneck in development due to time and cost requirements, therefore raising significant interest in accomplishing this task via in-silico means. Nevertheless, current in-silico phenotyping development tends to be focused on a single phenotyping task resulting in a dearth of reusable tools supporting cross-task generalizable in-silico phenotyping. In addition, in-silico phenotyping remains largely inaccessible for a substantial portion of potentially interested users. Here, we highlight the barriers to the usage of in-silico phenotyping and potential solutions in the form of a framework of several desiderata as observed during our implementation of such tasks. In addition, we introduce an example implementation of said framework as a software application, with a focus on ease of adoption, cross-task reusability, and facilitating the clinical phenotyping algorithm development process.
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影响因子：
6.2
作者：
Gilbert, EH;Lowenstein, SR;Steiner, J
通讯作者：
Steiner, J
DOI：
10.1093/jamia/ocx019
发表时间：
2017-11-01
影响因子：
6.4
作者：
Kang, Tian;Zhang, Shaodian;Weng, Chunhua
通讯作者：
Weng, Chunhua
DOI：
10.1093/gerona/glaa275
发表时间：
2020-12-10
影响因子：
5.1
作者：
Fu, Sunyang;Lopes, Guilherme S.;Sohn, Sunghwan
通讯作者：
Sohn, Sunghwan
影响因子：
3.2
作者：
Liu S;Wang Y;Wen A;Wang L;Hong N;Shen F;Bedrick S;Hersh W;Liu H
通讯作者：
Liu H
影响因子：
3.5
作者：
Fu, Sunyang;Leung, Lester Y.;Liu, Hongfang
通讯作者：
Liu, Hongfang