所用方法的总体流程

糖尿病视网膜病变患者通话转录与元数据,用于预测PCM服务注册的分类数据集。

Figshare
2025-09-18 更新
浏览 20
多模态maintain longer intervalsinvestigate factors associatedauc values rangingagent sentiment ).determining whether patientspredicting patient enrollmentpredict patient enrollmentincludes care coachingextracted topics discussedenrollment agents playassist dr patientspatient enrollment
Overall flow of the methods used.

基本信息

模态
多模态
大小
0.000009728 GB
许可
CC BY 4.0
创建/更新时间
2025-09-18
版本
v1

资源简介

所用方法的总体流程

【数据集背景】

本数据集源站标题为《Overall flow of the methods used.》。源站首次发布:2025-09-18。

【数据内容】

源站原始描述:Diabetic Retinopathy (DR) is a complication related to diabetes that can lead to vision impairment. To assist DR patients, a care management company provides a telephone-based principal care management (PCM) service, which includes care coaching and other services to reduce barriers to care for patients with DR. Despite its benefits, enrollment in the program is suboptimal. This study developed predictive models using call transcripts to investigate factors associated with patient enrollment in…

【数据结构与技术规格】

文件数 1 个,合计 9.73 KB。Table 1.xls:application/vnd.ms-excel,9.73 KB。数据集 DOI:10.1371/journal.pdig.0000992.t001。

【主题与分类】

源站学科分类:Molecular Biology、Ecology、Immunology、Biological Sciences not elsewhere classified、Developmental Biology、Cancer。主题标签:maintain longer intervals、investigate factors associated、auc values ranging、agent sentiment ).、determining whether patients、predicting patient enrollment、predict patient enrollment、includes care coaching、extracted topics discussed、enrollment agents play。

【适用方向】

多模态数据适合跨模态对齐、融合建模与联合表征学习方向的研究。

【获取与许可】

源站页面:https://plos.figshare.com/articles/dataset/Overall_flow_of_the_methods_used_/30160667

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Rus, Annisa Marlin Masbar; Ivy, Julie S.; Chi, Min; Plyler, Mitchell; Wells-Gray, Elaine; Mayorga, Maria E. (2025). Overall flow of the methods used.. PLOS Digital Health. Dataset

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下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

暂未开放

公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

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公开数据集受托下载与技术交付服务。

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暂未开放

当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/58081058"

文件清单

  • Table 1.xls(9.73 KB)

文件总体积 9.73 KB(源站 API 实测)。

数据说明

Diabetic Retinopathy (DR) is a complication related to diabetes that can lead to vision impairment. To assist DR patients, a care management company provides a telephone-based principal care management (PCM) service, which includes care coaching and other services to reduce barriers to care for patients with DR. Despite its benefits, enrollment in the program is suboptimal. This study developed predictive models using call transcripts to investigate factors associated with patient enrollment in the PCM service. We analyzed transcripts of calls made during the enrollment process (prior to enrollment) and feature-engineered the call metadata (i.e., transcript length, number of calls, time between calls, customer and agent sentiment). In addition, we extracted topics discussed in the transcripts using Structural Topic Modeling (STM) and converted them into vector representations. Utilizing call metadata alongside topics, we developed three classification models (call metadata, topic-based, and topic+metadata) to predict patient enrollment, with the latter demonstrating superior performance. The topic+metadata classification model outperformed the other two models in distinguishing between patient enrollment and non-enrollment, with AUC values ranging from 0.81 to 0.99 across models using 3 to 15-topics. The findings suggest that proactively offering to schedule an appointment after the program benefits explanation leads to a higher odds of enrollment. When the scheduling portion of the conversation is not considered, agents should cover all parts of the script over multiple calls. Additionally, agents who explain the program and maintain longer intervals between calls have higher odds of patient enrollment, suggesting that there is value in allowing patients adequate time to reflect between calls. These findings offer valuable insights for agents to evaluate their strategies in patient enrollment. As the first point of contact, enrollment agents play a crucial role in determining whether patients can benefit from care coordination and management programs.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pdig.0000992.t001(source: https://plos.figshare.com/articles/dataset/Overall_flow_of_the_methods_used_/30160667)。

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