Ml In Health Care Research Paper

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Significance of machine learning in healthcare - ScienceDirect

(7 days ago) WEBMachine Learning (ML) is a subtype of Artificial Intelligence (AI) technology that aims to improve the speed and accuracy of physicians' work. •. This paper identifies …

https://www.sciencedirect.com/science/article/pii/S2666603022000069

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Machine Learning in Healthcare - PMC - National Center for

(3 days ago) WEB3. AI IN HEALTHCARE. In healthcare, common machine learning advances have been evolving for years. The application of AI has the capacity to assist with case …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8822225/

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A Comprehensive Review on Machine Learning in Healthcare …

(4 days ago) WEBThis study’s primary goal was to fill the knowledge gap in the application of machine learning in healthcare. The following are this paper’s contributions: Most …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10180678/

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Full article: Systematic reviews of machine learning in healthcare: a

(6 days ago) WEBWe conducted a review of systematic literature reviews (SLRs) covering ML algorithms developed for medical purposes. The objective of our research was two …

https://www.tandfonline.com/doi/full/10.1080/14737167.2023.2279107

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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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Multimodal machine learning in precision health: A scoping review

(Just Now) WEBb Total number of original research papers published in this sphere in the last 10 years. c Continental breakdown of author contributions (note some papers have …

https://www.nature.com/articles/s41746-022-00712-8

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The role of machine learning in clinical research: transforming the

(5 days ago) WEBInterest in the application of machine learning (ML) to the design, conduct, and analysis of clinical trials has grown, but the evidence base for such applications has …

https://trialsjournal.biomedcentral.com/articles/10.1186/s13063-021-05489-x

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Machine learning applications in healthcare sector: An overview

(7 days ago) WEBML is applied to analyse medical records and disease forecasts. In our study, we review several ML algorithms, applications, techniques, opportunities, and …

https://www.sciencedirect.com/science/article/pii/S2214785321077749

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Applied machine learning in cancer research: A systematic review …

(3 days ago) WEB2. Literature review. The PubMed biomedical repository and the dblp computer science bibliography were selected to perform a literature overview on ML …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523813/

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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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Machine Learning in Mental Health: A Systematic Review of the …

(7 days ago) WEBFurther excluded were papers that described ML research outside a specific focus on mental health (n = 16 [21, (n = 26) did not include any mention of ethics despite their …

https://dl.acm.org/doi/fullHtml/10.1145/3398069

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Machine Learning in Healthcare - PubMed

(1 days ago) WEBAbstract. Recent advancements in Artificial Intelligence (AI) and Machine Learning (ML) technology have brought on substantial strides in predicting and …

https://pubmed.ncbi.nlm.nih.gov/35273459/

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A Systematic Review on the Use of AI and ML for Fighting the …

(4 days ago) WEBArtificial intelligence (AI) and machine learning (ML) have caused a paradigm shift in healthcare that can be used for decision support and forecasting by exploring medical …

https://ieeexplore.ieee.org/document/9366414

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Healthcare Special Issue : Artificial Intelligence (AI) and - MDPI

(Just Now) WEBFeature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves …

https://www.mdpi.com/journal/healthcare/special_issues/AIML_Healthcare

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How to develop machine learning models for healthcare

(9 days ago) WEBAdvances in machine learning (ML), faster processors and the availability of digitized healthcare data have contributed to a growing number of papers describing ML …

https://www.nature.com/articles/s41563-019-0345-0

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Systematic Mapping Study of AI/Machine Learning in Healthcare …

(Just Now) WEBThis study attempts to categorise research conducted in the area of: use of machine learning in healthcare, using a systematic mapping study methodology.In our …

https://link.springer.com/article/10.1007/s42979-021-00848-6

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Artificial intelligence in healthcare: transforming the practice of

(3 days ago) WEBIntroduction. Healthcare systems around the world face significant challenges in achieving the ‘quadruple aim’ for healthcare: improve population health, improve the patient's …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285156/

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The role of artificial intelligence in healthcare: a structured

(2 days ago) WEBThis paper evaluated AI in healthcare research streams using the SLR method [].As suggested by Massaro et al. [], an SLR enables the study of the scientific …

https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-021-01488-9

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Artificial Intelligence in Healthcare: Review and Prediction Case

(7 days ago) WEBArtificial intelligence (AI) has been developing rapidly in recent years in terms of software algorithms, hardware implementation, and applications in a vast number of …

https://www.sciencedirect.com/science/article/pii/S2095809919301535

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Healthcare predictive analytics using machine learning and deep

(6 days ago) WEBHealthcare prediction has been a significant factor in saving lives in recent years. In the domain of health care, there is a rapid development of intelligent systems …

https://jesit.springeropen.com/articles/10.1186/s43067-023-00108-y

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Machine learning applications in healthcare sector: An overview

(3 days ago) WEBIn our study, we review several ML algorithms, applications, techniques, opportunities, and challenges for the healthcare sector. This paper fills a research gap …

https://www.researchgate.net/publication/357162853_Machine_learning_applications_in_healthcare_sector_An_overview

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The Future of Health care: Machine Learning - ResearchGate

(3 days ago) WEBAbstract. Machine learning (ML) is a rising field. Machine learning is to find patterns automatically and reason about data.ML enables persona l-. ized care called …

https://www.researchgate.net/publication/328074617_The_Future_of_Health_care_Machine_Learning

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CVPR Technical Program Features Presentations on the Latest AI …

(7 days ago) WEBFinal, citable papers will be available just prior to the conference. About CVPR 2024. The Computer Vision and Pattern Recognition Conference (CVPR) is the preeminent …

https://cvpr.thecvf.com/Conferences/2024/News/Oral_Papers

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Cultural Relativity and Acceptance of Embryonic Stem Cell …

(6 days ago) WEBVoices in Bioethics is currently seeking submissions on philosophical and practical topics, both current and timeless. Papers addressing access to healthcare, the …

https://journals.library.columbia.edu/index.php/bioethics/article/view/12685

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Sexual and reproductive health implementation research in …

(9 days ago) WEBMeeting the health needs of crisis-affected populations is a growing challenge, with 339 million people globally in need of humanitarian assistance in 2023. …

https://reproductive-health-journal.biomedcentral.com/articles/10.1186/s12978-024-01793-2

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