Abstract Machine learning (ML) offers powerful methods for detecting and modeling associations often in data with large feature spaces and complex associations. Many useful …
Scientific research communities pursue dual imperatives in implementing strategies to share their data. These communities attempt to maximize the accessibility of biomedical data for …
S Patil, KR Patil, CR Patil, SS Patil - International Journal of Information …, 2020 - Springer
Artificial intelligence and technological advancements are exceptionally influenced the entire society and mankind. Unprecendented and extensive use of social media, mobile …
D Oliveira, D Ferreira, N Abreu, P Leuschner… - Scientific Reports, 2022 - nature.com
Nowadays, we are facing the worldwide pandemic caused by COVID-19. The complexity and momentum of monitoring patients infected with this virus calls for the usage of agile and …
The COVID-19 pandemic has worsened the mental health and substance use challenges among many people who are Two Spirit, lesbian, gay, bisexual, transgender, queer …
H Swapnarekha, HS Behera, J Nayak… - … Intelligence in Pattern …, 2022 - Springer
The novel coronavirus ailment known as COVID-19 is a respiratory disease induced by SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2). From its origin, the COVID …
Advancements in genomics have generated vast amounts of data, requiring efficient methods for exploring the relationships between genetic variants and diseases. This paper …
DNA sequencing has become an extremely popular assay with researchers claiming that in the distant future, the DNA sequencing impact will be equal to the microscope impact. Single …
The modern era is characterised as an era of information or Big Data. This has motivated a huge literature on new methods for extracting information and insights from these data. A …