Innovations in genomics and big data analytics for personalized medicine and health care: A review
Big data in health care is a fast-growing field and a new paradigm that is transforming case-
based studies to large-scale, data-driven research. As big data is dependent on the …
based studies to large-scale, data-driven research. As big data is dependent on the …
Machine learning methods in drug discovery
The advancements of information technology and related processing techniques have
created a fertile base for progress in many scientific fields and industries. In the fields of drug …
created a fertile base for progress in many scientific fields and industries. In the fields of drug …
Digital disruption and big data in healthcare-opportunities and challenges
M El Khatib, S Hamidi, I Al Ameeri… - ClinicoEconomics …, 2022 - Taylor & Francis
Background As the amount of medical data in the electronic medical records system (EMR)
is increasing tremendously, the required time to read it by health providers is growing by the …
is increasing tremendously, the required time to read it by health providers is growing by the …
Application of cognitive computing in healthcare, cybersecurity, big data and IoT: A literature review
AG Sreedevi, TN Harshitha, V Sugumaran… - Information Processing & …, 2022 - Elsevier
Human Intelligence is considered superior compared to Artificial Intelligence (AI) because of
its ability to adapt faster to changes. Due to increasing data deluge, it is cumbersome for …
its ability to adapt faster to changes. Due to increasing data deluge, it is cumbersome for …
Cross-ethnicity/race generalization failure of behavioral prediction from resting-state functional connectivity
Algorithmic biases that favor majority populations pose a key challenge to the application of
machine learning for precision medicine. Here, we assessed such bias in prediction models …
machine learning for precision medicine. Here, we assessed such bias in prediction models …
[HTML][HTML] From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare
The medicine and healthcare sector has been evolving and advancing very fast. The
advancement has been initiated and shaped by the applications of data-driven, robust, and …
advancement has been initiated and shaped by the applications of data-driven, robust, and …
Leveraging 6G, extended reality, and IoT big data analytics for healthcare: A review
In recent years, the healthcare industry has faced new challenges around staffing, human
interaction, and the adoption of telehealth. Technological innovations can improve …
interaction, and the adoption of telehealth. Technological innovations can improve …
The challenges and prospects of brain-based prediction of behaviour
Relating individual brain patterns to behaviour is fundamental in system neuroscience.
Recently, the predictive modelling approach has become increasingly popular, largely due …
Recently, the predictive modelling approach has become increasingly popular, largely due …
Perspective of artificial intelligence in healthcare data management: A journey towards precision medicine
Mounting evidence has highlighted the implementation of big data handling and
management in the healthcare industry to improve the clinical services. Various private and …
management in the healthcare industry to improve the clinical services. Various private and …
Harnessing big data analytics for healthcare: A comprehensive review of frameworks, implications, applications, and impacts
Big Data Analytics (BDA) has garnered significant attention in both academia and industries,
particularly in sectors such as healthcare, owing to the exponential growth of data and …
particularly in sectors such as healthcare, owing to the exponential growth of data and …