17 papers · ranked by Valyu relevance
Ran He, Jie Cao, Tieniu Tan
Generative artificial intelligence (GAI) has recently achieved significant success, enabling anyone to create texts, images, videos and even computer codes while providing insights that might not be possible with traditional tools. To stimulate future research, this work provides a brief summary of the ongoing and…
Javier Geijo-Fernández, Alexander Pfundner, Carlos A Garcia-Perez
Microbial community profiling relies on comprehensive reference databases, yet full-length 16S rRNA amplicons remain sparse for many bacterial taxa. We present SGenerator, a neural network-based data augmentation method that generates biologically informative, full-length (1500 bp) 16S rRNA sequences for…
Simon Bing, Andrea Dittadi, Stefan Bauer, Patrick Schwab + 1 more
'Gilles Guillot'] The widespread adoption of electronic health records (EHRs) and subsequent increased availability of longitudinal healthcare data has led to significant advances in our understanding of health and disease with direct and immediate impact on the development of new diagnostics and therapeutic treatment…
Katariina Perkonoja, Kari Auranen, Joni Virta
The rapid growth in data availability has facilitated research and development, yet not all industries have benefited equally due to legal and privacy constraints. The healthcare sector faces significant challenges in utilizing patient data because of concerns about data security and confidentiality. To address this…
Amy Schwartz, Pierre-Antoine Gourraud, Anil Kumar Vadathya, Ayush Bhattacharya + 22 more
'Ayush Bhattacharya' 'Samer El Kababji' 'Nicholas Mitsakakis' 'Elizabeth Jonker' 'Ana-Alicia Beltran-Bless' 'Gregory Pond' 'Lisa Vandermeer' 'Dhenuka Radhakrishnan' 'Lucy Mosquera' 'Alexander Paterson' 'Lois Shepherd' 'Bingshu Chen' 'William Barlow' 'Julie Gralow' 'Marie-France Savard' 'Christian Fesl' 'Dominik…
Alexander Grote, Anuja Hariharan, Christof Weinhardt
Introduction The analysis of discrete sequential data, such as event logs and customer clickstreams, is often challenged by the vast number of possible sequential patterns. This complexity makes it difficult to identify meaningful sequences and derive actionable insights. Methods We propose a novel feature selection…
Debapriya Hazra, Mi-Ryung Kim, Yung-Cheol Byun, Luca Agnelli
Nucleic acids are the basic units of deoxyribonucleic acid (DNA) sequencing. Every organism demonstrates different DNA sequences with specific nucleotides. It reveals the genetic information carried by a particular DNA segment. Nucleic acid sequencing expresses the evolutionary changes among organisms and…
Gabrielle Josling, Ibrahima Diouf, Sankalp Khanna
Clinical and health research increasingly depends on rich, structured datasets such as electronic health records (EHRs), disease registries, and longitudinal cohort studies. These tabular datasets provide the foundation for epidemiological research, assessment of healthcare outcomes, and data-driven policy development.…
Sohom Ghosh, Shefali Yadav, Xin Wang, Bibhash Chakrabarty + 1 more
'Serdar Kadıoğlu'] Sequential pattern mining remains a challenging task due to the large number of redundant candidate patterns and the exponential search space. In addition, further analysis is still required to map extracted patterns to different outcomes. In this paper, we introduce a pattern mining framework that…
Fengwei Jia, Hongli Zhu, Fengyuan Jia, Xinyue Ren + 3 more
'Hongming Tan' 'Wai Kin Victor Chan'] Recently, generative models have been gradually emerging into the extended dataset field, showcasing their advantages. However, when it comes to generating tabular data, these models often fail to satisfy the constraints of numerical columns, which cannot generate high-quality…
Isidoro J. Casanova, Manuel Campos, Jose M. Juarez, Antonio Gomariz + 3 more
'Bernardo Canovas-Segura' 'Marta Lorente-Ros' 'Jose A. Lorente'] Background Pattern mining techniques are helpful tools when extracting new knowledge in real practice, but the overwhelming number of patterns is still a limiting factor in the health-care domain. Current efforts concerning the definition of measures of…
Alfred Ultsch, Jörn Lötsch
Small sample sizes in biomedical research often led to poor reproducibility and challenges in translating findings into clinical applications. This problem stems from limited study resources, rare diseases, ethical considerations in animal studies, costly expert diagnosis, and others. As a contribution to the problem…
Alexey Zaripov, Roman Kulshin, Anatoly Sidorov, Miguel Angel Guevara Lopez + 2 more
'Miguel Angel Guevara Lopez' 'Luís Gonzaga Mendes Magalhães' 'Edel Bartolo Garcia Reyes'] This work is dedicated to the development of a system for generating artificial data for training neural networks used within a conveyor-based technology framework. It presents an overview of the application areas of computer…
Laura Savaré, Francesca Ieva, Giovanni Corrao, Antonio Lora
Background Care pathways are increasingly being used to enhance the quality of care and optimize the use of resources for health care. Nevertheless, recommendations regarding the sequence of care are mostly based on consensus-based decisions as there is a lack of evidence on effective treatment sequences. In a…
Alev Kaya, İbrahim Türkoğlu, Boris Ryabko
Pseudorandom number generators (PRNGs) used in deoxyribonucleic acid (DNA)-oriented computational workflows often generate outputs in the bit domain and then map them to DNA symbols. This indirect strategy may treat DNA-specific constraints, including GC balance, homopolymer limits, and short-range sequence…
Carla Lázaro, Cecilio Angulo, Ioannis Yiannis Kompatsiaris
In healthcare, vast amounts of data are increasingly collected through sensors for smart health applications and patient monitoring or diagnosis. However, such medical data often comprise sensitive patient information, posing challenges regarding data privacy, and are resource-intensive to acquire for significant…
Tian Gan, Jindong Chen, Hao Wang, Conghui Shang + 5 more
Objective To evaluate the impact of sequential (first- to third-generation) epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI) treatment on top-corrected QT interval (top-QTc) in non-small cell lung cancer (NSCLC) patients. Methods We retrospectively reviewed the medical records of NSCLC patients…