Algorithmic Fairness In Public Health
Listing Websites about Algorithmic Fairness In Public Health
Predictably unequal: understanding and addressing concerns that
(1 days ago) People also askWhy is algorithmic fairness important?Historically, algorithmic fairness has not accounted for complex causal relationships between biological, environmental, and social factors that give rise to differences in medical conditions across protected identities. Social determinants of health play an important role, particularly for risk models.Ethical limitations of algorithmic fairness solutions in health care machin…thelancet.comCan algorithmic fairness be used in clinical decision-making?Despite the broader awareness of the importance of algorithmic fairness, and the rapidly expanding impact of algorithmic prediction in healthcare, how principles of algorithmic fairness might apply in clinical decision-making has received little attention in the medical literature 7, 8.Predictably unequal: understanding and addressing concerns that nature.comCan predictive algorithms introduce unfairness in healthcare decision-making?The machine learning community has become alert to the ways that predictive algorithms can inadvertently introduce unfairness in decision-making. Herein, we discuss how concepts of algorithmic fairness might apply in healthcare, where predictive algorithms are being increasingly used to support decision-making.Predictably unequal: understanding and addressing concerns that nature.comIs there a challenge in algorithmic fairness 97?In health efforts, considering sensitive variables at macro 96 and individual levels simultaneously is one route to a more holistic consideration of fairness 97. Fig. 3: Abstract illustration of challenge in algorithmic fairness due to unexplained variance or proxy variables.Machine learning and algorithmic fairness in public and population healthnature.comFeedbackNaturehttps://www.nature.com/articles/s42256-021-00373-4Machine learning and algorithmic fairness in public and …WEBGiven the key foci of health equity and disparities within public and population health, we juxtapose these topics with the machine learning subfield of algorithmic fairness to highlight specific
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Advancing health equity with artificial intelligence - PMC
(3 days ago) WEBIntroduction. Artificial intelligence (AI) continues to feature prominently in the health sector by way of its ever-growing contribution to population and public health practice, management, and surveillance [1, 2].However, just as AI seeks to mirror human cognition through its data-driven analytics, it can also reflect the biases present in our …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607970/
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Algorithmic Fairness and AI Justice in Addressing Health …
(2 days ago) WEBThe Partnership on AI was created in 2016 to advance the public’s understanding of AI and by bringing together diverse stakeholders across sectors, serves as a convenor for discussions about AI and its influences on people and society. The partnership is guided by four goals: 1. Develop and share best practices. 2.
https://link.springer.com/chapter/10.1007/978-3-031-07912-2_15
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Machine learning and algorithmic fairness in public …
(2 days ago) WEBhealth care providers to request information about diseases, which Machine learning and algorithmic fairness in public and population health Vishwali Mhasawade1, Yuan Zhao2 and Rumi Chunara 1,3 Until now, much of the work on machine learning and health has focused on processes inside the hospital or clinic. However,
https://par.nsf.gov/servlets/purl/10310717
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Connecting Fairness in Machine Learning with Public …
(2 days ago) WEBKeywords—Fairness; Equity; Public Health; Machine Learning. I. INTRODUCTION Health equity [1] is a crucial principle in public health, which aims to eliminate disparities in health outcomes and healthcare access Appropriateness involves deciding the appropriate use of the algorithm in the local context and matching the model to the target
https://arxiv.org/pdf/2304.04761
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Addressing algorithmic bias and the perpetuation of …
(7 days ago) WEBIntroduction. With data revealing that a disturbingly disproportionate burden of the adverse outcomes of the COVID-19 pandemic is being borne by communities of color, racial disparities, long present in the US healthcare system, have recently come into sharper focus [1].Today, health equity is appropriately front and center in public policy …
https://www.sciencedirect.com/science/article/pii/S2211883722001095
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Machine learning and algorithmic fairness in public and …
(5 days ago) WEBThis Perspective aims to highlight potential opportunities and challenges for machine learning within a holistic view of health, and builds on research in population and public health that focuses on the mechanisms between different cultural, social and environmental factors and their effect on the health of individuals and communities. Until now, much of …
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Algorithmic Bias in Health Care Exacerbates Social Executive and
(1 days ago) WEBIn their 2019 paper in Journal of Global Health “Artificial intelligence and algorithmic bias: implications for health systems,” Panch, Mattie, and Rifat Atun define algorithmic bias as the application of an algorithm that compounds existing inequities in socioeconomic status, race, ethnic background, religion, gender, disability, or sexual
https://www.hsph.harvard.edu/ecpe/how-to-prevent-algorithmic-bias-in-health-care/
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Machine learning and algorithmic fairness in public and …
(4 days ago) WEBMachine learning and algorithmic fairness in public and population health. July 2021. Nature Machine Intelligence 3 (8):1-8. DOI: 10.1038/s42256-021-00373-4. Authors: Vishwali Mhasawade.
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Can medical algorithms be fair? Three ethical quandaries and one
(8 days ago) WEBObjective To demonstrate what it takes to reconcile the idea of fairness in medical algorithms and machine learning (ML) with the broader discourse of fairness and health equality in health research. Method The methodological approach used in this paper is theoretical and ethical analysis. Result We show that the question of ensuring …
https://informatics.bmj.com/content/29/1/e100445
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Connecting Fairness in Machine Learning with Public Health Equity
(2 days ago) WEBMachine learning (ML) has become a critical tool in public health, offering the potential to improve population health, diagnosis, treatment selection, and health system efficiency. However, biases in data and model design can result in disparities for certain protected groups and amplify existing inequalities in healthcare. To address this …
https://arxiv.org/abs/2304.04761
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Algorithmic fairness in computational medicine - eBioMedicine
(2 days ago) WEBMachine learning models are increasingly adopted for facilitating clinical decision-making. However, recent research has shown that machine learning techniques may result in potential biases when making decisions for people in different subgroups, which can lead to detrimental effects on the health and well-being of specific demographic groups such as …
https://www.thelancet.com/journals/ebiom/article/PIIS2352-3964(22)00432-7/fulltext
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Enabling Fairness in Healthcare Through Machine Learning
(Just Now) WEBDisputes over fairness in ML typically focus on operational definitions of fairness based on statistical features of algorithmic decisions. Footnote 7 These statistical fairness criteria compare the predictive performance of the ML algorithm between a disadvantaged and advantaged social group. If for them, the predictive performance is …
https://link.springer.com/article/10.1007/s10676-022-09658-7
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Algorithmic fairness in computational medicine - The Lancet
(4 days ago) WEBAI systems in the context of global health. Mhasawade et al.13 focused on the interactions among different cul-tural, social, and environmental factors, their impact on the fairness of machine learning algorithms, and how machine learning, public and population health can work together to achieve health equity. Unlike these
https://www.thelancet.com/pdfs/journals/ebiom/PIIS2352-3964(22)00432-7.pdf
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Ethical limitations of algorithmic fairness solutions in health care
(3 days ago) WEBArtificial intelligence has exposed pernicious bias within health data that constitutes substantial ethical threat to the use of machine learning in medicine.1,2 Solutions of algorithmic fairness have been developed to create neutral models: models designed to produce non-discriminatory predictions by constraining bias with respect to predicted …
https://www.thelancet.com/journals/landig/article/PIIS2589-7500(20)30065-0/fulltext
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Advancing health equity with artificial intelligence Journal of
(Just Now) WEBPopulation and public health are in the midst of an artificial intelligence revolution capable of radically altering existing models of care delivery and practice. Just as AI seeks to mirror human cognition through its data-driven analytics, it can also reflect the biases present in our collective conscience. In this Viewpoint, we use past and …
https://link.springer.com/article/10.1057/s41271-021-00319-5
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Trust, human-centered AI and collaboration the focus of inaugural …
(5 days ago) WEBThe way to get there, according to a number of speakers at the symposium, is public-private partnership, such as that being modeled through the recent White House Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence and the Coalition for Health AI, or CHAI. “The public-private partnerships …
https://med.stanford.edu/news/all-news/2024/05/raise-health-symposium0.html
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Machine learning and algorithmic fairness in public and …
(9 days ago) WEBGiven the key foci of health equity and disparities within public and population health, we juxtapose these topics with the machine learning subfield of algorithmic fairness to highlight specific opportunities where machine learning, public and population health may synergize to achieve health equity.",
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A revision to the United States national ALS registry's algorithm to
(Just Now) WEBPublic Health Research Publications Topic National Amyotrophic Lateral Sclerosis (ALS) Registry. January 16, 2024 A revision to the United States national ALS registry's algorithm to improve Case-Ascertainment The team found that the existing Registry algorithm likely result in under-ascertainment of ALS cases and updating the …
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Testing Algorithm for Histoplasmosis Histoplasmosis CDC
(9 days ago) WEBHistoplasmosis is a fungal infection that often presents as community-acquired pneumonia (CAP) in primary and urgent care settings. It is endemic in parts of the U.S. and the world. Histoplasmosis cannot be reliably distinguished from other causes of respiratory illness by signs or symptoms alone. Thus, patients are commonly misdiagnosed; in
https://www.cdc.gov/histoplasmosis/hcp/algorithm/index.html
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The future of optimization: How 'Learn to Optimize' is reshaping
(9 days ago) WEBOptimization algorithms are pivotal in machine learning and artificial intelligence (AI) in general. For a long time, it has been widely believed that the design/configuration of optimization algorithms is a task that heavily relies on human intelligence and requires customized design for specific problems. However, with the …
https://techxplore.com/news/2024-05-future-optimization-optimize-reshaping-algorithm.html
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North Carolina Republicans Vote to Ban Masks in Public - Newsweek
(7 days ago) WEBThe North Carolina Senate voted along party lines to ban anyone wearing masks in public, even for health reasons.. Republican State Sen. Buck Newton, who sponsored the bill, said protesters are
https://www.newsweek.com/north-carolina-senate-vote-masks-anti-health-1901894
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Machine learning and algorithmic fairness in public and …
(4 days ago) WEBThese disparities often manifest in specific gender, income level and race/ethnicity groups experiencing greater health risks2. Algorithmic fairness has recently emerged as a field of machine
https://www.nature.com/articles/s42256-021-00373-4.pdf
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Appendix B: Algorithm for Diagnosing and Treatment for Malaria …
(4 days ago) WEBAlgorithm for Diagnosis and Treatment of Malaria. If after urgent infectious disease consultation, additional assistance is needed, clinicians can call the CDC Malaria Hotline: (770) 488-7788 or (855) 856-4713 (toll free), Mon–Fri, 9 am–5 pm EST; (770) 488-7100 after hours, weekends, and holidays.
https://www.cdc.gov/malaria/hcp/clinical-guidance/diagnosis-treatment.html
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Diabetes Algorithm (My Family Health Portrait Web-Based Tool)
(6 days ago) WEBThis algorithm is based on a version of the Diabetes Risk Test as developed by the American Diabetes Association. Additional information about the test can be found in: Diabetes Risk Calculator: A Simple Tool for Detecting Undiagnosed Diabetes and Pre-diabetes. Diabetes Care. 2008 May;31 (5):1040-5. Heikes KE, et al.
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Algorithmic fairness in pandemic forecasting: lessons from COVID-19
(Just Now) WEBAbstract. Racial and ethnic minorities have borne a particularly acute burden of the COVID-19 pandemic in the United States. There is a growing awareness from both researchers and public health
https://www.nature.com/articles/s41746-022-00602-z
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NY State of Health at Career and Health Fair Resource Fair (Co-Op …
(1 days ago) WEBNY State of Health Marketplace representatives will be on hand to answer questions regarding enrolling or re-enrolling in the Marketplace. This event is open to the public.Los representantes del Mercado de NY State of Health estarán disponibles para responder preguntas relacionadas con la inscripción y reinscripción en el Mercado de …
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Hereditary Colorectal (Colon) Cancer Algorithm (MFHP: Cancer)
(Just Now) WEBPersonal and family health history risk factors for "Increased Risk" result. You have had colorectal, colon, or rectal cancer.. You have Lynch syndrome (LS), also known as hereditary non-polyposis colorectal cancer (HNPCC).. You have had any polyps.. You have familial adenomatous polyposis (FAP).. You have inflammatory bowel disease …
https://www.cdc.gov/family-health-history/php/mfhp-algorithms/colorectal-colon-cancer.html
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Federal Register :: Medical Devices; Laboratory Developed Tests
(6 days ago) WEBThis PDF is the current document as it appeared on Public Inspection on 04/29/2024 at 8:45 am. It was viewed 5780 times while on Public Inspection. If you are using public inspection listings for legal research, you should verify the contents of the documents against a final, official edition of the Federal Register.
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