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Articles by Nabil Adam
Predictive Modeling of Dormant Breast Cancer Recurrence Associated with Anxiety and Depression in SEER-Medicare Patients Using Deep Learning
You are already at the latest version Importance. Up to 50% of patients with localized breast cancer (BC) continue to recur after initial treatment for more than 20 years. Recurrent cancer is not curable, and the goal of therapy is the prolongation of life. Many variables, including adrenergic stimuli associated with anxiety and/or depression (anxiety/depression), have been linked to recurrence.
Predictive Modeling of Long-Term Survivors with Stage IV Breast Cancer Using the SEER-Medicare Dataset
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Predictive Modeling of Long-Term Survivors with Stage IV Breast Cancer Using the SEER-Medicare Dataset
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 31 October 2024 / Approved: 1 November 2024 / Online: 4 November 2024 (03:44:19 CET) Adam, N.; Wieder, R. Predictive Modeling of Long-Term Survivors with Stage IV Breast Cancer Using the SEER-Medicare Dataset. Preprints 2024, 2024110041. https://doi.org/10.20944/preprints202411.0041.v1 Adam, N.; Wieder, R. Predictive Modeling of Long-Term Survivors with Stage IV Breast Cancer Using the SEER-Medicare Dataset.
AI Survival Prediction Modeling: The Importance of Considering Treatments and Changes in Health Status over Time
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Correction: Wieder, R.; Adam, N. Racial Disparities in Breast Cancer Treatments and Adverse Events in the SEER-Medicare Data. Cancers 2023, 15, 4333
Newly Added Appendix A and Acknowledgements We obtained the data we analyzed in this manuscript [1] from the National Cancer Institute (NCI) SEER-Medicare (S-M) program under dual review with the understanding that S-M must review and approve publications using their data. We unintentionally overlooked having the manuscript reviewed by NCI before its publication. This Appendix A was necessary because the NCH file cannot be classified correctly as a distinct service venue.
Temporal Association Rule Mining: Race-Based Patterns of Treatment-Adverse Events in Breast Cancer Patients Using SEER-Medicare Dataset
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Racial Disparities in Breast Cancer Treatments and Adverse Events in the SEER-Medicare Data
1. Introduction The median survival with breast cancer (BC) is shorter in African American (AA) patients than in white (W) patients, despite a lower incidence of the disease in AAs [1,2,3,4]. There are well-documented social factors that affect survival, including disparities in screening, diagnosis, and treatment [5,6]. Biologic differences in the molecular characteristics of the cancers also contribute to disparities between the two populations [7,8].
How Facebook Changed Social Media Forever
Facebook, founded by Mark Zuckerberg in 2004, has undoubtedly revolutionized the social media landscape and left an indelible mark on society. With its innovative features, extensive user base, and far-reaching impact, Facebook has changed how people connect, share information, and engage online. Here are some key ways in which Facebook has transformed social media forever.
AI and the Fight Against COVID-19
The COVID-19 pandemic has forced nearly every industry today to rethink their standard approaches to effectively deal with this massive obstacle. The healthcare and government sectors specifically have had to adapt more quickly, which has led to an acceleration in the development of artificial intelligence, or “AI.” Given the impact AI can have in the […] The Thrive Global Community welcomes voices from many spheres on our open platform.
Mental Health & the Holidays
The holidays are a time to be happy and celebrate family, or at least that’s what society would have us believe. However, there are many reasons that this time of year might be difficult for someone. If you struggle with mental health and happen to find the holidays stressful, you’re not alone. The National Alliance […] By Nabil Adam, Ph.D. at Rutgers University The holidays are a time to be happy and celebrate family, or at least that’s what society would have us believe.
Teaching Empathy with Virtual Reality
This post was contributed by a community member. The views expressed here are the author's own. Neighbor Posts Nabil Adam on Teaching Empathy with Virtual Reality By Nabil Adam, Neighbor Sep 23, 2019 3:36 pm ET | Updated Sep 23, 2019 3:39 pm ET Empathy revolves around our ability to understand and share the emotions of those around us. It is crucial to healthy social interactions and often motivates prosocial behaviors like cooperating with others, volunteering, and donating to causes.
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