Results 291 to 300 of about 21,453,969 (390)

A Processing Algorithm to Address Real-World Data Quality Issues With Continuous Glucose Monitoring Data. [PDF]

J Diabetes Sci Technol
Williamson W, Lee JM, Gaynanova I.
europepmc   +1 more source

Probabilistic techniques for obtaining accurate patient counts in Clinical Data Warehouses. [PDF]

J Biomed Inform, 2011
Myers RB, Herskovic JR.
europepmc   +1 more source

The Impact of Gaze‐Contingent Textual Enhancement on L2 Collocation Learning from Computer‐Mediated Reading Tasks

TESOL Quarterly, EarlyView.
Abstract This study examined if gaze‐contingent textual enhancement could be used as an interactive focus‐on‐form device to promote learning of second language (L2) collocations from computer‐mediated reading tasks. Seventy‐five Chinese ESL users read three English texts that contained twelve target collocations, presented under one of three conditions:
Jookyoung Jung, Andrea Révész, Matthew J. Stainer, Ana Pellicer‐Sánchez, Yoojin Chung, Danni Shi   +5 more
wiley   +1 more source

Peanut Aflatoxin: Impact of Postharvest Insect Infestation and Storage Systems. [PDF]

Insects
Mbata GN, Danso JK, Holton RL.
europepmc   +1 more source

Decoding, Disrupting: An Email Conversation in Many Parts

New Directions for Teaching and Learning, EarlyView.
ABSTRACT What are the similarities and differences between Decoding the Disciplines and Disrupting the Disciplines? This chapter explores answers to this question through a series of email exchanges between the two co‐authors. Extensive commentary provides additional history and context for the evolving relationships between Decoding and Disrupting ...
Lee Easton, Joan Middendorf
wiley   +1 more source

Impact of Warehouse Expansion on Ambient PM_2.5 and Elemental Carbon Levels in Southern California's Disadvantaged Communities: A Two-Decade Analysis. [PDF]

Geohealth
Yang B, Zhu Q, Wang W, Zhu Q, Zhang D, Jin Z, Prasad P, Sowlat M, Pakbin P, Ahangar F, Hasheminassab S, Liu Y.   +11 more
europepmc   +1 more source

Replicating Current Procedural Terminology code assignment of rhinology operative notes using machine learning

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
Abstract Objectives Documentation and billing are important and time‐consuming parts of an otolaryngologist's work. Given advancements in machine learning (ML), we evaluated the ability of ML algorithms to use operative notes to classify rhinology procedures by Current Procedural Terminology (CPT®) code.
Christopher P. Cheng, Ryan Sicard, Dragan Vujovic, Vikram Vasan, Chris Choi, David K. Lerner, Alfred‐Marc Iloreta   +6 more
wiley   +1 more source

Processing reporting function views in a data warehouse environment

, 2003
Wolfgang Lehner, Wolfgang Hümmer, Lutz Schlesinger   +2 more
openalex   +2 more sources

Mental health impact of a large-scale industrial fire on exposed residents in France: the post fire 76 health survey. [PDF]

Arch Public Health
Perrine AL, Pédrono G, Morel P, Empereur-Bissonnet P, Richard JB, Golliot F, Zeghnoun A, Blanchard M, Saoudi A, Le Lay E, El Haddad M, Motreff Y.   +11 more
europepmc   +1 more source