selected publications
my book with igi global
https://www.igi-global.com/book/ubiquitous-health-medical-informatics/37317
recent publications on healthcare and health translational systems:
- establishment of a mindmap for medical e-diagnosis as a service for graph-based learning and analytics, springer neural computing & applications 33 (18), 1-12, 2021
- https://link.springer.com/article/10.1007/s00521-021-06200-6
- ql4pomr interface as a graph-based clinical diagnosis web service, ieee 11th international conference on logistics, informatics and service sciences (liss2021)
- http://icir.bjtu.edu.cn/liss2021/news/892.jhtml
- empowering graphql based problem oriented medical record systems using a data layer, international journal of future generation communication and networking (ijfgcn), volume 14, issue 3, pages 1-12,
- generating physician standing orders for unplanned care scenarios using the hl7 fhir patient summaries, the 9th ieee international conference on e-health and bioengineering - ehb 2021 grigore t. popa university of medicine and pharmacy, web conference, romania, november 18-19, 2021.
- problem oriented diagnostic service for describing clinical cases based on the graphql pomr approach, dec. 9-12, ieee bibm 2021
- graphql patient case presentation using the problem oriented medical record schema,, ieee big data, december 15-18, 2021
- big data technology and applications in intelligent transportation
- identifying eeg binary limb motor imagery movements using thick data analytics
http://fucos.or.kr/journal/apjcri/articles/v6n9/15.html
- thick data analytics through ensemble techniques: identifying personalized eeg biometrics based on eye state prediction
- http://fucos.or.kr/journal/apjcri/articles/v6n10/4.pdf
- white learning methodology: a case study of cancer-related disease factors analysis in real-time pacs environment
- https://www.sciencedirect.com/science/article/abs/pii/s0169260720315571
- data stream mining in fog computing environment with feature selection using ensemble of swarm search algorithms
- international journal of extreme automation and connectivity in healthcare: preface of the inaugural issue
- experimenting with clojure on extracting medication information from clinical narratives
- identifying & classifying potential post-market drug ades from social media blogs: a research proposal for detecting ades over users conversation networks
- hcx: a distributed osgi based web interaction system for sharing health records in the cloud
- the roadmap for sharing electronic health records: the emerging ubiquity and cloud computing trends
- sharing biomedical learning knowledge for social ambient intelligence
- adaptive swarm balancing algorithms for rare-event prediction in imbalanced healthcare data
- robust high-dimensional bioinformatics data streams mining by odr-iovfdt
- pathogen–host analysis tool (phat): an integrative platform to analyze next-generation sequencing data
- on recognizing abnormal human behaviors by datastream mining with misclassified recalls
- managing diabetes therapy through datastream mining
- solving the under-fitting problem for decision tree algorithms by incremental swarm optimization in rare-event healthcare classification
- towards developing an interoperability framework for healthcare community of practice
- evaluation of stream mining classifiers for real-time clinical decision support system: a case study of blood glucose prediction in diabetes therapy
- a visualization methodology for studying relations of medical data via extended dependency networks
recent publication on big and thick data analytics:
- thick data: a new qualitative analytics for identifying customer insights
- thick data analytics: a human centric approach for understanding consumer insights
- similarity majority under-sampling technique for easing imbalanced classification problem
- a suite of swarm dynamic multi-objective algorithms for rebalancing extremely imbalanced datasets
- performance evaluation of shadow features as a data preprocessing method in data mining for human activities recognitions
- revisiting medical entity recognition through the guidelines of the aurora initiative
- a time series pre-processing methodology with statistical and spectral analysis for classifying non-stationary stochastic biosignals
- improvised methods for tackling big data stream mining challenges: case study of human activity recognition
- social recommendation using graph database neo4j: mini blog, twitter social network graph case study
- rare event prediction using similarity majority under-sampling technique
- nspring: the spring extension for subsequence matching of time series supporting normalization
- improving the classification performance of biological imbalanced datasets by swarm optimization algorithms
- recent advances in metaheuristic algorithms: does the makara dragon exist?
- discovering sub-patterns from time series using a normalized cross-match algorithm
- gpu-enabled back-propagation artificial neural network for digit recognition in parallel
- gesture recognition from data streams of human motion sensor using accelerated pso swarm search feature selection algorithm
recent publication on ioht :
- internet of medical things (iomt): trends and challenges
- internet of everything as a platform for extreme automation
- cyber physical systems: a new frontier of artificial intelligence: summary paper
- fast incremental learning with swarm decision table and stochastic feature selection in an iot extreme automation environment
- empowering extreme automation via zero-touch operations and gpu parallelization
- digital health in the era of extreme automation
- the robotization of extreme automation: the balance between fear and courage
- edi with blockchain as an enabler for extreme automation
- fab labs: a platform for innovation and extreme automation
- developing an android app for dementia patient location: prevention of wandering case study
- smart city and iot