SIG Health - Healthcare Informatics and Health Info Technology
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Paper Type
ERF
Paper Number
1704
Description
Digital health offers lung cancer patients to improve their health status while allowing patients, providers, and administrators to coordinate data and care at individual and community levels. While technology improvements provide lung cancer patients and healthcare providers with a valuable new tool for disease management, these are yet to be widely accepted. In particular, we aim to: (1) develop a Machine Learning (ML)-based framework for data collection from active online lung cancer forums and other parameters for patients, providers and their organizations, (2) build an AI-based model to develop a cancer ontology for exploring different factors and patients’ emotions associated to lung cancer management, (3) Design a mHealth app to set up a support system in terms of providing patients with information and social support, and ML models-based treatment recommendation system. The IT-based support system will provide the best and most specific treatment plan and recommendation system for lung cancer management.
Recommended Citation
Shah, Adnan Muhammad; Muhammad, Wazir; Ahmed, Ali; and Ahmed, Saad Bin Saeed, "Designing an IT-Based System for Optimizing Lung Cancer Management" (2022). AMCIS 2022 Proceedings. 21.
https://aisel.aisnet.org/amcis2022/sig_health/sig_health/21
Designing an IT-Based System for Optimizing Lung Cancer Management
Digital health offers lung cancer patients to improve their health status while allowing patients, providers, and administrators to coordinate data and care at individual and community levels. While technology improvements provide lung cancer patients and healthcare providers with a valuable new tool for disease management, these are yet to be widely accepted. In particular, we aim to: (1) develop a Machine Learning (ML)-based framework for data collection from active online lung cancer forums and other parameters for patients, providers and their organizations, (2) build an AI-based model to develop a cancer ontology for exploring different factors and patients’ emotions associated to lung cancer management, (3) Design a mHealth app to set up a support system in terms of providing patients with information and social support, and ML models-based treatment recommendation system. The IT-based support system will provide the best and most specific treatment plan and recommendation system for lung cancer management.
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SIG Health