Big Data Bias In Healthcare

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Addressing bias in big data and AI for health care: A call for open …

(3 days ago) WEBArtificial intelligence (AI) has an astonishing potential in revolutionizing health care. A major challenge is that of algorithmic bias. Most AI algorithms need big datasets to learn from, but several groups of the human population are absent or misrepresented in …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8515002/

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Algorithmic Bias in Health Care Exacerbates Social Executive and

(1 days ago) WEBWhat Can Data Science Teams Do to Prevent and Mitigate Algorithmic Bias in Health Care? According to Mattie, “Bias can creep into the process anywhere in …

https://www.hsph.harvard.edu/ecpe/how-to-prevent-algorithmic-bias-in-health-care/

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How Biased Data and Algorithms Can Harm Health

(9 days ago) WEBYet far from erasing medical bias, the rise of big data has the potential to further entrench prejudices and inequalities, Ferryman says. There are still a lot of areas …

https://magazine.publichealth.jhu.edu/2022/how-biased-data-and-algorithms-can-harm-health

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Addressing bias in big data and AI for health care: A call for open

(1 days ago) WEBAbstract. Artificial intelligence (AI) has an astonishing potential in assisting clinical decision making and revolutionizing the field of health care. A major open …

https://pubmed.ncbi.nlm.nih.gov/34693373/

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Addressing bias in big data and AI for health care: A call for …

(9 days ago) WEBAddressing bias in big data and AI for health care: A call for open science. THE BIGGER PICTURE Bias in the medical field can be dissected along three directions: data-driven, …

https://www.cell.com/patterns/pdf/S2666-3899(21)00202-6.pdf

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Rising to the challenge of bias in health care AI - Nature

(Just Now) WEBFirst, we must acknowledge that bias is not simply a feature of data that can be eliminated; it is defined and shaped by much deeper social and organizational forces …

https://www.nature.com/articles/s41591-021-01577-2

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Big data in digital healthcare: lessons learnt and - Nature

(9 days ago) WEBBig Data initiatives in the United Kingdom. The UK Biobank is a prospective cohort initiative that is composed of individuals between the ages of 40 and 69 before …

https://www.nature.com/articles/s41437-020-0303-2

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Axes of a revolution: challenges and promises of big data in …

(9 days ago) WEBMedical data have unique features compared with big data in other domains 7. The data may include administrative health data, biomarker data, biometric data (for …

https://www.nature.com/articles/s41591-019-0727-5

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Considering Biased Data as Informative Artifacts in AI-Assisted …

(1 days ago) WEBHealth equity beyond data: health care worker perceptions of race, ethnicity, and language data collection in electronic health records. Med Care …

https://www.nejm.org/doi/full/10.1056/NEJMra2214964

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Using big data to inform health care: opportunities, challenges and

(8 days ago) WEBIn addition, there are concerns over bias in big data. However, the authors outline several ways in which bias can be addressed. These include, for example, …

https://www.who.int/europe/news/item/26-05-2021-using-big-data-to-inform-health-care-opportunities-challenges-and-considerations

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Uncovering and Removing Data Bias in Healthcare HIMSS

(6 days ago) WEBWith COVID-19 data, that already has racial bias built into it because of racial corrections that have to do with someone's respiratory function. There's a racial …

https://www.himss.org/resources/uncovering-and-removing-data-bias-healthcare

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Tackling Implicit Bias in Health Care NEJM

(Just Now) WEBDOI: 10.1056/NEJMp2201180. Implicit and explicit biases are among many factors that contribute to disparities in health and health care. 1 Explicit biases, the …

https://www.nejm.org/doi/full/10.1056/NEJMp2201180

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Bias in Medical Big Data and Machine Learning Algorithms

(2 days ago) WEBData intensive technologies using medical big data, analysed by machine learning algorithms, play a key role in revolutionising healthcare. However, results from …

https://link.springer.com/chapter/10.1007/978-981-16-0811-7_10

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Challenges and opportunities of big data analytics in healthcare

(6 days ago) WEBThe enormous data sets made possible by big data are essential to digital health because they fuel innovation and lead to better results for patients. 1.1 Big data …

https://onlinelibrary.wiley.com/doi/full/10.1002/hcs2.66

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Addressing bias in big data and AI for health care: A call for open

(Just Now) WEBArtificial intelligence (AI) has an astonishing potential in revolutionizing health care. A major challenge is that of algorithmic bias. Most AI algorithms need big datasets …

https://www.cell.com/patterns/fulltext/S2666-3899(21)00202-6

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Revolutionizing Healthcare: The Transformative Power of AI

(Just Now) WEBAI’s integration into healthcare is set to usher in transformative changes, including the development of personalized treatment plans tailored to individual genetic …

https://www.aapa.org/news-central/2024/05/revolutionizing-healthcare-the-transformative-power-of-ai/

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Mastering healthcare data governance with data lineage - IBM

(Just Now) WEBThe healthcare industry faces arguably the highest stakes when it comes to data governance. For starters, healthcare organizations constantly encounter vast (and …

https://www.ibm.com/blog/mastering-healthcare-data-governance-with-data-lineage/

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Practices in Data-Quality Evaluation: A Large-Scale Review of …

(3 days ago) WEBBoth theoretical and empirical evidence indicates that careless responses can inhibit the power of statistical tests, bias survey outcomes, and even cause …

https://journals.sagepub.com/doi/full/10.1177/25152459241236414

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What is implicit bias, how does it affect healthcare?

(4 days ago) WEBImplicit bias, a phrase that is not unique to healthcare, refers to the unconscious prejudice individuals might feel about another thing, group, or person. …

https://www.techtarget.com/patientengagement/feature/What-is-implicit-bias-how-does-it-affect-healthcare

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Putting the data before the algorithm in big data addressing

(9 days ago) WEBHowever, such algorithms—agnostic to the sources, or validity, of the big data used for training—have the potential to worsen preexisting demographic disparities …

https://www.nature.com/articles/s41746-019-0157-2

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AcademyHealth Presents a Literature Review Summarizing the …

(8 days ago) WEBThe study design and findings represented in this report were reviewed by an Academy Health multidisciplinary steering committee that approved the report. The …

https://academyhealth.org/blog/2024-05/academyhealth-presents-literature-review-summarizing-research-findings-use-internet-search-data-diagnosis-diseases-and-conditions

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Impact of mHealth interventions on maternal, newborn, and child …

(3 days ago) WEBBackground Mobile health (mHealth) technologies have been harnessed in low- and middle-income countries (LMICs) to address the intricate challenges …

https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-024-03417-9

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AI strategy in business: A guide for executives McKinsey

(7 days ago) WEBJoanna Pachner: Do you think this worry about job security and the potential that AI will automate strategy is realistic? Yuval Atsmon: The question of whether AI will …

https://www.mckinsey.com/capabilities/strategy-and-corporate-finance/our-insights/artificial-intelligence-in-strategy

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Safeguarding Patient Data With Custom Software Development

(5 days ago) WEBHealthcare data has become a prime target for cybercriminals due to its sensitive nature and the potential for financial gain, and healthcare data breaches cost …

https://www.forbes.com/sites/forbestechcouncil/2024/05/13/cybersecurity-in-healthcare-safeguarding-patient-data-with-custom-software-development/

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Implicit Bias Yields Health Inequities for Dementia Patients

(Just Now) WEBPublished: 26 Jan 2022. According to a JAMA Internal Medicine study, staff members’ implicit bias about minority groups was linked to variability in end-of-life care delivered to …

https://www.techtarget.com/patientengagement/news/366584941/Implicit-Bias-Yields-Health-Inequities-for-Dementia-Patients

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Diagnosing bias in data-driven algorithms for healthcare

(9 days ago) WEBThis reformulation led to a reduction in bias by over 80%. When developing data-driven algorithms for healthcare, we should think carefully about the labels used …

https://www.nature.com/articles/s41591-019-0726-6

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What Is a Data Scientist? Salary, Skills, and How to Become One

(8 days ago) WEBA data scientist uses data to understand and explain the phenomena around them, and help organizations make better decisions. Working as a data scientist …

https://www.coursera.org/articles/what-is-a-data-scientist

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MS in Data Science Graduate Wins Best Poster at NJBDA

(1 days ago) WEBThe poster was on Jyoti Yadav’s thesis work titled Ai in TB Detection on Medical Big Data with Health and Educational Impacts. Posted in: Awards and Recognition, …

https://www.montclair.edu/school-of-computing/2024/05/20/ms-in-data-science-graduate-wins-best-poster-at-njbda/

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Ascension Health, largest Catholic hospital chain in the US, hit by

(2 days ago) WEBAscension Health, largest Catholic hospital chain in the U.S., hit by cyberattack, disrupting patient care The attack follows another one that has caused a …

https://www.nbcnews.com/business/business-news/ascension-health-cyberattack-disrupts-patient-care-what-happened-rcna151462

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Dan Patrick ‘embarrassed’ by ESPN’s Knicks bias - Awful Announcing

(1 days ago) WEBESPN NBA By Brandon Contes on 05/20/202405/20/2024. After watching ESPN’s New York Knicks and Indiana Pacers coverage, Dan Patrick was embarrassed …

https://awfulannouncing.com/espn/dan-patrick-embarrassed-biased-knicks-pacers-coverage.html

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