Challenges, Opportunities and Future Trends in Smart Health

Vyas, Sonali; Bhargava, Deepshikha

doi:10.1007/978-981-16-4201-2_10

Cited by 1 publication

(1 citation statement)

References 16 publications

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“…It has been shown to be advantageous to use ML and DL for diagnosing acute illnesses, image scrutiny, drug breakthrough, drug shipment, and smart health surveillance. The effectiveness of previously unavailable treatment options will increase as ML-DL based applications are soon widely implemented and loaded with real-time patient data from a variety of healthcare systems in a variety of nations [99] , [100] . Figure 9 illustrates how the ML-DL method has been integrated into the healthcare system.…”

Section: Integration On Ml-dl Ml-healthcare Dl-healthcare and Ml-dl-h...mentioning

confidence: 99%

Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities

Rahman,

Debnath,

Kundu

et al. 2024

AIMSPH

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<abstract> <p>In recent years, machine learning (ML) and deep learning (DL) have been the leading approaches to solving various challenges, such as disease predictions, drug discovery, medical image analysis, etc., in intelligent healthcare applications. Further, given the current progress in the fields of ML and DL, there exists the promising potential for both to provide support in the realm of healthcare. This study offered an exhaustive survey on ML and DL for the healthcare system, concentrating on vital state of the art features, integration benefits, applications, prospects and future guidelines. To conduct the research, we found the most prominent journal and conference databases using distinct keywords to discover scholarly consequences. First, we furnished the most current along with cutting-edge progress in ML-DL-based analysis in smart healthcare in a compendious manner. Next, we integrated the advancement of various services for ML and DL, including ML-healthcare, DL-healthcare, and ML-DL-healthcare. We then offered ML and DL-based applications in the healthcare industry. Eventually, we emphasized the research disputes and recommendations for further studies based on our observations.</p> </abstract>

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Section: Integration On Ml-dl Ml-healthcare Dl-healthcare and Ml-dl-h...mentioning

confidence: 99%