Machine Learning In Health Care Journal
Listing Websites about Machine Learning In Health Care Journal
A Comprehensive Review on Machine Learning in Healthcare …
(4 days ago) WebIn healthcare, machine learning has the potential to revolutionize how we diagnose, treat, Khor W. Big data and machine learning algorithms for health-care …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10180678/
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Significance of machine learning in healthcare: Features, pillars and
(7 days ago) WebPillars of machine learning for healthcare services. Clinical institutions can apply ML in health care to detect strokes based on existing health conditions, assess …
https://www.sciencedirect.com/science/article/pii/S2666603022000069
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Artificial Intelligence in Medicine New England Journal of Medicine
(Just Now) WebThe editors announce both a series of articles focusing on AI and machine learning in health care and the 2024 launch of a new journal, NEJM AI, a forum for …
https://www.nejm.org/doi/full/10.1056/NEJMe2206291
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Using machine learning for healthcare challenges and …
(7 days ago) WebMachine learning (ML) and its applications in healthcare have gained a lot of attention. When enhanced computational power is combined with big data, there is an …
https://www.sciencedirect.com/science/article/pii/S2352914822000739
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Machine learning in healthcare - Nature
(5 days ago) WebCollection on machine learning in healthcare from Nature Biomedical Engineering. About the journal; Publish with the development of AI for clinical care may improve patient and health
https://www.nature.com/collections/zbkpvddmhm
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Improving the quality of machine learning in health - Nature
(Just Now) WebMachine learning in healthcare (MLH) generally aims to predict some clinical outcome on the basis of multiple predictors. The potential of MLH is vast, with …
https://www.nature.com/articles/s42256-020-00239-1
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Machine learning in healthcare: review, opportunities and challenges
(Just Now) WebIn healthcare, machine learning derives its value due to the ability to process huge data sets beyond the scope of human capability, and then reliably convert analysis …
https://www.sciencedirect.com/science/article/pii/B9780128212295000112
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Machine Learning and the Pursuit of High-Value Health Care
(9 days ago) WebAbstract. The United States faces unsustainable growth in health care costs despite limited return on this investment in the form of health outcomes, prompting …
https://catalyst.nejm.org/doi/10.1056/CAT.20.0094
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Artificial Intelligence (AI) and Machine Learning (ML) in Human …
(Just Now) WebAdvances in computing technology have led to the recent use of machine learning and artificial intelligence in AKI prediction, recent research reported that by …
https://www.mdpi.com/journal/healthcare/special_issues/AIML_Healthcare
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Development and preliminary testing of Health Equity Across the …
(1 days ago) WebAuthor summary In healthcare, the use of data-driven technologies such as Artificial Intelligence (AI) and Machine Learning (ML) is increasing. However, the lack of …
https://journals.plos.org/digitalhealth/article?id=10.1371%2Fjournal.pdig.0000390
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Cancers Free Full-Text Implementation of Artificial - MDPI
(1 days ago) WebArtificial Intelligence (AI) has revolutionized the management of non-small-cell lung cancer (NSCLC) by enhancing different aspects, including staging, prognosis …
https://www.mdpi.com/2072-6694/16/10/1832
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Diagnosing Physician Error: A Machine Learning Approach to Low …
(4 days ago) WebWe use machine learning as a tool to study decision making, focusing specifically on how physicians diagnose heart attack. Diagnosing Physician Error: A …
https://academic.oup.com/qje/article/137/2/679/6449024
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Big Data and Machine Learning in Health Care - JAMA Network
(7 days ago) WebIt is no surprise then that medicine is awash with claims of revolution from the application of machine learning to big health care data. Recent examples have …
https://jamanetwork.com/journals/jama/fullarticle/2675024
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Machine Learning in Healthcare: A Review - IEEE Xplore
(5 days ago) WebMachine Learning is modern and highly sophisticated technological applications became a huge trend in the industry. Machine Learning is Omni present …
https://ieeexplore.ieee.org/document/8474918/
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Interpretable machine learning predicts postpartum hemorrhage …
(2 days ago) WebPostpartum hemorrhage (PPH) is the leading cause of maternal morbidity and mortality in the United States and globally. To preempt the sequelae of this obstetrical …
https://www.ajogmfm.org/article/S2589-9333(24)00081-8/fulltext
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Machine learning applications in stroke medicine: advancements
(1 days ago) WebIn addition, integrating machine learning models into clinical workflows and establishing regulatory frameworks are critical for ensuring their widespread adoption and impact in …
https://pubmed.ncbi.nlm.nih.gov/37843210/
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An AI revolution is brewing in medicine. What will it look like?
(Just Now) WebShe and her colleagues identified thousands of medical-imaging studies that compared the diagnostic performance of deep-learning models with that of health-care …
https://www.nature.com/articles/d41586-023-03302-0
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Frontiers Large Language Models in Physical therapy: time to …
(5 days ago) WebRather than visualizing AI as a threat, it presents an opportunity to revolutionize. This paper examines how Large Language Models (LLMs), such as …
https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2024.1364660/abstract
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Implementing Machine Learning in Health Care — Addressing …
(Just Now) WebRevolutionizing Healthcare: Unleashing the Power of Machine Learning for Patient-Centric Solutions, Shodh Sari-An International Multidisciplinary Journal, 03, 02, …
https://www.nejm.org/doi/full/10.1056/NEJMp1714229
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Machine learning in healthcare: review, opportunities and challenges
(4 days ago) WebMachine learning is the most important area to develop computational approaches automatically. In this chapter, we review the recent literature on applying …
https://www.sciencedirect.com/science/article/abs/pii/B9780128212295000112
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FEMaLe: The use of machine learning for early diagnosis of
(3 days ago) WebMethods. A baseline and a longitudinal questionnaire in the Lucy app collects real-world, self-reported information on symptoms of endometriosis, socio …
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0300186
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Stratification of arrhythmic risk in patients admitted for acute
(4 days ago) WebAdvertisement intended for healthcare professionals. Journals. Books. Search Menu; Menu; European Heart Journal. Acute Cardiovascular Care, Volume 13, Issue …
https://academic.oup.com/ehjacc/article-abstract/13/Supplement_1/zuae036.145/7666425
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Information Free Full-Text Utilizing Machine Learning for …
(9 days ago) WebIdentifying stress in older adults is a crucial field of research in health and well-being. This allows us to take timely preventive measures that can help save lives. …
https://www.mdpi.com/2078-2489/15/5/274
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Increasing the performance of a hospital department with budget
(6 days ago) WebA significant amount of time is saved by using machine learning to predict the simulation model outcomes, which had previously taken a total of around 7 hours …
https://www.tandfonline.com/doi/full/10.1080/17477778.2024.2349160
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Artificial intelligence–based assessment of built environment from
(1 days ago) WebEuropean Heart Journal, Volume 45, Issue 17, 1 May 2024, Pages 1540–1549, Machine learning model using raw convolutional neural …
https://academic.oup.com/eurheartj/article/45/17/1540/7635247
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Machine-learning expert helps unlock cancer’s secrets
(5 days ago) WebBy Joe Rojas-Burke May 09, 2024 Portland, Oregon. Zheng Xia, Ph.D., originally set his sights on a career in engineering. His leap into cancer biology came …
https://news.ohsu.edu/2024/05/09/machine-learning-expert-helps-unlock-cancers-secrets
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Advancement in Healthcare Data Analysis: Unveiling the Power of …
(9 days ago) WebHealthcare analysis of data is growing as one of the most interesting research areas in recent decades. Sensor data is collected by a variety of wearable and …
https://propulsiontechjournal.com/index.php/journal/article/view/6112
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Graph machine learning for integrated multi-omics analysis
(Just Now) WebHere, the use of machine learning is particularly emphasized for integrating and analyzing multi-omics datasets. Graph machine learning on heterogeneous omics …
https://www.nature.com/articles/s41416-024-02706-7
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Preoperative prediction model for risk of readmission after total …
(3 days ago) WebIn the above formula, n represents the number of subsequences which is the number of chunks a surgical case’s note text was broken down into. The scaling factor C …
https://josr-online.biomedcentral.com/articles/10.1186/s13018-024-04774-0
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A Systematic Review of Using Deep Learning in Aphasia - MDPI
(9 days ago) WebIn this systematic literature review, the intersection of deep learning applications within the aphasia domain is meticulously explored, acknowledging the …
https://www.mdpi.com/2073-431X/13/5/117
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How Helpful Are Mental-Health Chatbots? - WSJ - The Wall Street …
(Just Now) WebAdvances in AI technology are opening up new possibilities, researchers say, but chatbots are still no substitute for a human therapist.
https://www.wsj.com/health/wellness/ai-chatbots-mental-health-5184eca2
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Metamorphosis: A Journal of Management Research
(3 days ago) WebSandeep Kumar Panda, Vaibhav Mishra, R. Balamurali, and Ahmed A. Elngar (Eds.), Artificial Intelligence and Machine Learning in Business Management: Concepts
https://journals.sagepub.com/doi/full/10.1177/09726225241247344
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