Mobile Health And Machine Learning Issues
Listing Websites about Mobile Health And Machine Learning Issues
Ethical dilemmas posed by mobile health and machine …
(3 days ago) WEBThis approach contrasts with other ethical decision-making perspectives that emphasize the personal rights of individuals. 13 These two models are particularly relevant to certain issues in machine learning and mobile health research, such as obtaining …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7133483/
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Mobile Devices and Health New England Journal of …
(1 days ago) WEBMobile health. The application of wearable and ambient sensors, mobile apps, social media, and location-tracking technology …
https://www.nejm.org/doi/full/10.1056/NEJMra1806949
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Artificial intelligence and machine learning in mobile apps …
(9 days ago) WEBBackground. Mental health conditions, such as anxiety and depression, can have significant negative impacts on a range of mental and physical wellbeing, social, and employment outcomes [1,2].People with …
https://journals.plos.org/digitalhealth/article?id=10.1371/journal.pdig.0000079
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Practical approaches in evaluating validation and biases …
(Just Now) WEBAllgaier et al. scrutinize the performance of machine learning (ML) models applied to 7 longitudinal mHealth datasets. Their study advocates for considering simple …
https://www.nature.com/articles/s43856-024-00468-0
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Exploring benefits and ethical challenges in the rise of …
(1 days ago) WEBm-Health 2.0: new perspectives on mobile health, machine learning and big data analytics. Methods (2018) S.A.A. Jin To disclose or not to disclose, that is the …
https://www.sciencedirect.com/science/article/abs/pii/S0166497222001456
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Machine learning and algorithmic fairness in public and …
(Just Now) WEBDecades of work in population and public health has informed research and practice that aim to understand what makes and keeps people and populations healthy …
https://www.nature.com/articles/s42256-021-00373-4
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m-Health 2.0: New perspectives on mobile health, …
(7 days ago) WEBIn this paper we presented new perspectives of mobile health (m-Health) with big data analytics and machine learning. We presented the relevant big data …
https://www.sciencedirect.com/science/article/pii/S1046202318300860
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JMIR mHealth and uHealth - Learning From Others …
(8 days ago) WEBHowever, there are few rigorous studies on the effectiveness of federated learning in the mobile health (mHealth) domain. Objective: We review federated …
https://mhealth.jmir.org/2021/3/e23728
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Artificial intelligence and machine learning in mobile apps for …
(3 days ago) WEBMobile apps for mental health are beginning to incorporate artificial intelligence and there is a need for an overview of the state of the literature on these apps. The purpose of this …
https://journals.plos.org/digitalhealth/article/file?id=10.1371/journal.pdig.0000079&type=printable
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Mobile Health from Developers’ Perspective SN Computer Science
(Just Now) WEBNaturally, the user can provide feedback on the mobile health area. Furthermore, healthcare professionals follow up with the patient, influence mobile …
https://link.springer.com/article/10.1007/s42979-023-02455-z
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m-Health 2.0: New perspectives on mobile health, Machine …
(6 days ago) WEBThis new m-Health concept representation and its enabling technologies will be the catalyst o f the. ‘big m - health 2.0 data’ sources generated from the variety of …
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m-Health 2.0: New perspectives on mobile health, machine …
(3 days ago) WEBFirst we present the relevant big data issues from the mobile health (m-Health) perspective. In particular we discuss these issues from the technological areas and …
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Mobile Computing For Digital Health: Challenges, Opportunities, …
(6 days ago) WEBMobile Networks and Applications - Mobile Computing For Digital Health: Challenges, Opportunities, and Approaches Overview: The current needs for remote healthcare and …
https://link.springer.com/journal/11036/updates/25103652
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Researchers say future is bright for treating substance abuse …
(2 days ago) WEBThe Health Promotion Research Center (HPRC) is at the forefront of mobile health technologies worldwide, having attracted $65 million in grants and supporting …
https://www.sciencedaily.com/releases/2024/05/240508113120.htm
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The Benefits of AI in Healthcare IBM
(7 days ago) WEBThey can share these real-time data sets with their doctors to monitor health issues and provide alerts in case of problems. AI solutions—such as big data …
https://www.ibm.com/think/insights/ai-healthcare-benefits
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Mental Health Predictive Analysis Using Machine-Learning
(1 days ago) WEBThis paper examines the definition of mental health, challenges faced by employees at a workplace due to poor mental health. We present some preventative …
https://link.springer.com/chapter/10.1007/978-981-97-1329-5_9
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Multimodal machine learning in precision health: A scoping review
(Just Now) WEBMachine learning is frequently being leveraged to tackle problems in the health sector including utilization for clinical decision-support. Its use has historically …
https://www.nature.com/articles/s41746-022-00712-8
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An Efficient Approach for Diabetes Classification Using Feature
(1 days ago) WEBIt significantly impacts health, leading to conditions like heart disease, vision problems, and kidney dysfunction, with a notable mortality rate reported by the WHO in 2019. The …
https://benthamscience.com/article/139485
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Social Cognitive Theory (SCT) – IDEA
(5 days ago) WEBSocial Cognitive Theory (SCT) Describing learning as the interrelation between behavioral, environmental, and personal factors. According to Social Cognitive …
https://www.idea.org/blog/2006/06/01/social-cognitive-theory-sct/
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Machine learning applications in stroke medicine: advancements
(1 days ago) WEBIn recent years, machine learning techniques have emerged as promising tools in stroke medicine, enabling efficient analysis of large-scale datasets and facilitating personalized …
https://pubmed.ncbi.nlm.nih.gov/37843210/
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Sensors Free Full-Text Investigating a Machine Learning - MDPI
(1 days ago) WEBCMOS image sensor (CIS) semiconductor products are integral to mobile phones and photographic devices, necessitating ongoing enhancements in efficiency …
https://www.mdpi.com/1424-8220/24/10/3144
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Ethical dilemmas posed by mobile health and machine …
(5 days ago) WEBissues in machine learning and mobile health research, such as obtaining informed consent for monitoring and for access-ing various data sources (e.g. smartphones, …
https://www.nicholasjacobson.com/files/PDFs/Jacobson,%20Bentley,%20et%20al%202020.pdf
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Big Data: Latest Articles, News & Trends TechRepublic
(4 days ago) WEBApache Spark and Hadoop, Microsoft Power BI, Jupyter Notebook and Alteryx are among the top data science tools for finding business insights. Compare their …
https://www.techrepublic.com/topic/big-data/
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Classification of Users of a Health Service Provider Using
(Just Now) WEBIn this paper, we compare three unsupervised classification methods: k-means, fuzzy clustering and Self-Organized Maps (SOM) on a database of a health …
https://link.springer.com/article/10.1007/s42979-024-02685-9
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Shifting machine learning for healthcare from development to
(Just Now) WEBIn the past decade, the application of machine learning (ML) to healthcare has helped drive the automation of physician tasks as well as enhancements in clinical …
https://www.nature.com/articles/s41551-022-00898-y
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Foods Free Full-Text Characterizing Edible Oils by Oblique
(Just Now) WEBFurthermore, adulteration in edible oils can lead to various health issues impacting consumer well-being. In order to meet the requirements of fast, non …
https://www.mdpi.com/2304-8158/13/9/1420
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Hello World from Machine Learning Club
(7 days ago) WEBHis topics of interest primarily focus on data science, machine learning, deep learning, and privacy and security, especially for health informatics, social network analysis, and …
https://machinelearningclub.njit.edu/
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An AI revolution is brewing in medicine. What will it look like?
(Just Now) WEBAiming to address some of the limitations of AI tools in medicine, researchers have been exploring medical AI with broader capabilities. They’ve been inspired by …
https://www.nature.com/articles/d41586-023-03302-0
Category: Medical, Medicine Show Health
Enhancing Resilience of Bridges through Real- time …
(4 days ago) WEBThe overarching goal is to develop a new metrology tool for real-time monitoring of bridge deformations with an accuracy as fine as sub-mm order. Specifically, there are three …
https://www.njdottechtransfer.net/wp-content/uploads/2020/11/NJDOT-Presentation-Yiming-Liu.pdf
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