Mapping Biological Networks from Quantitative Data-Independent Acquisition Mass Spectrometry: Data to Knowledge Pipelines.
Sign Up to like & getrecommendations! Published in 2017 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-6783-4_19
Abstract: Data-independent acquisition mass spectrometry (DIA-MS) strategies and applications provide unique advantages for qualitative and quantitative proteome probing of a biological sample allowing constant sensitivity and reproducibility across large sample sets. These advantages in LC-MS/MS are… read more here.
Keywords: data independent; mass spectrometry; data knowledge; knowledge ... See more keywords
Clustering of COVID-19 data for knowledge discovery using c-means and fuzzy c-means
Sign Up to like & getrecommendations! Published in 2021 at "Results in Physics"
DOI: 10.1016/j.rinp.2021.104639
Abstract: In this work, the partitioning clustering of COVID-19 data using c-Means (cM) and Fuzy c-Means (Fc-M) algorithms is carried out. Based on the data available from January 2020 with respect to location, i.e., longitude and… read more here.
Keywords: using means; covid data; data knowledge; clustering covid ... See more keywords
Toward Business Process Innovation in the Big Data Era: A Mediating Roles of Big Data Knowledge Management
Sign Up to like & getrecommendations! Published in 2020 at "Big data"
DOI: 10.1089/big.2020.0140
Abstract: While recent debate recognizes the importance of big data (BD) and knowledge management (KM) in firm performance, there has been a paucity of literature regarding big data analytics technological (BDAT) and knowledge exploration-exploitation capabilities (KEEC)… read more here.
Keywords: big data; data knowledge; knowledge; knowledge management ... See more keywords
Translating ethnographic data into knowledge, skills, and attitude statements for medical scribes: a modified Delphi approach
Sign Up to like & getrecommendations! Published in 2022 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocac091
Abstract: OBJECTIVE While the use of medical scribes is rapidly increasing, there are not widely accepted standards for their training and duties. Because they use electronic health record systems to support providers, inadequately trained scribes can… read more here.
Keywords: training; data knowledge; medical scribes; knowledge ... See more keywords
Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K).
Sign Up to like & getrecommendations! Published in 2017 at "IEEE pervasive computing"
DOI: 10.1109/mprv.2017.29
Abstract: The Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K) is enabling the collection of high-frequency mobile sensor data for the development and validation of novel multisensory biomarkers and sensor-triggered interventions. read more here.
Keywords: sensor data; data knowledge; excellence mobile; center excellence ... See more keywords