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Showing 25 to 36 of 97 entries
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Knowledge Base of Nurses Before and After a Human Trafficking Continuing Education Course.

Journal of continuing education in nursing

Lawrence M, Bauer P.
PMID: 32579227
J Contin Educ Nurs. 2020 Jul 01;51(7):316-321. doi: 10.3928/00220124-20200611-07.

BACKGROUND: Recent research shows up to 88% of human trafficking victims are seen in a health care setting sometime during their coerced servitude. Nurses are in key positions to identify trafficked victims but often lack sufficient information about how...

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Lawrence M, Bauer P. Knowledge Base of Nurses Before and After a Human Trafficking Continuing Education Course. J Contin Educ Nurs. 2020;51(7):316-321doi: 10.3928/00220124-20200611-07.
Lawrence, M., & Bauer, P. (2020). Knowledge Base of Nurses Before and After a Human Trafficking Continuing Education Course. Journal of continuing education in nursing, 51(7), 316-321. https://doi.org/10.3928/00220124-20200611-07
Lawrence, Madelaine, and Bauer, Paul. "Knowledge Base of Nurses Before and After a Human Trafficking Continuing Education Course." Journal of continuing education in nursing vol. 51,7 (2020): 316-321. doi: https://doi.org/10.3928/00220124-20200611-07
Lawrence M, Bauer P. Knowledge Base of Nurses Before and After a Human Trafficking Continuing Education Course. J Contin Educ Nurs. 2020 Jul 01;51(7):316-321. doi: 10.3928/00220124-20200611-07. PMID: 32579227.
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A gentle introduction to deep learning for graphs.

Neural networks : the official journal of the International Neural Network Society

Bacciu D, Errica F, Micheli A, Podda M.
PMID: 32559609
Neural Netw. 2020 Sep;129:203-221. doi: 10.1016/j.neunet.2020.06.006. Epub 2020 Jun 11.

The adaptive processing of graph data is a long-standing research topic that has been lately consolidated as a theme of major interest in the deep learning community. The snap increase in the amount and breadth of related research has...

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Bacciu D, Errica F, Micheli A, et al. A gentle introduction to deep learning for graphs. Neural Netw. 2020;129:203-221doi: 10.1016/j.neunet.2020.06.006.
Bacciu, D., Errica, F., Micheli, A., & Podda, M. (2020). A gentle introduction to deep learning for graphs. Neural networks : the official journal of the International Neural Network Society, 129203-221. https://doi.org/10.1016/j.neunet.2020.06.006
Bacciu, Davide, et al. "A gentle introduction to deep learning for graphs." Neural networks : the official journal of the International Neural Network Society vol. 129 (2020): 203-221. doi: https://doi.org/10.1016/j.neunet.2020.06.006
Bacciu D, Errica F, Micheli A, Podda M. A gentle introduction to deep learning for graphs. Neural Netw. 2020 Sep;129:203-221. doi: 10.1016/j.neunet.2020.06.006. Epub 2020 Jun 11. PMID: 32559609.
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Building a knowledge base: Predicting self-derivation through integration in 6- to 10-year-olds.

Journal of experimental child psychology

Esposito AG, Bauer PJ.
PMID: 30103075
J Exp Child Psychol. 2018 Dec;176:55-72. doi: 10.1016/j.jecp.2018.07.011. Epub 2018 Aug 10.

Self-derivation of new factual knowledge through integration of separate episodes of learning is one means by which children build knowledge. Content generated in this manner becomes incorporated into the knowledge base and is retained over time; successful self-derivation predicts...

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Esposito AG, Bauer PJ. Building a knowledge base: Predicting self-derivation through integration in 6- to 10-year-olds. J Exp Child Psychol. 2018;176:55-72doi: 10.1016/j.jecp.2018.07.011.
Esposito, A. G., & Bauer, P. J. (2018). Building a knowledge base: Predicting self-derivation through integration in 6- to 10-year-olds. Journal of experimental child psychology, 17655-72. https://doi.org/10.1016/j.jecp.2018.07.011
Esposito, Alena G, and Bauer, Patricia J. "Building a knowledge base: Predicting self-derivation through integration in 6- to 10-year-olds." Journal of experimental child psychology vol. 176 (2018): 55-72. doi: https://doi.org/10.1016/j.jecp.2018.07.011
Esposito AG, Bauer PJ. Building a knowledge base: Predicting self-derivation through integration in 6- to 10-year-olds. J Exp Child Psychol. 2018 Dec;176:55-72. doi: 10.1016/j.jecp.2018.07.011. Epub 2018 Aug 10. PMID: 30103075.
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Experimental Design to Systematically Develop a Knowledge Base for Effective Games for Health.

Games for health journal

Baranowski T, Lyons EJ, Thompson D.
PMID: 31157990
Games Health J. 2019 Oct;8(5):307-312. doi: 10.1089/g4h.2019.0057. Epub 2019 Jun 03.

No abstract available.

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Baranowski T, Lyons EJ, Thompson D. Experimental Design to Systematically Develop a Knowledge Base for Effective Games for Health. Games Health J. 2019;8(5):307-312doi: 10.1089/g4h.2019.0057.
Baranowski, T., Lyons, E. J., & Thompson, D. (2019). Experimental Design to Systematically Develop a Knowledge Base for Effective Games for Health. Games for health journal, 8(5), 307-312. https://doi.org/10.1089/g4h.2019.0057
Baranowski, Tom, et al. "Experimental Design to Systematically Develop a Knowledge Base for Effective Games for Health." Games for health journal vol. 8,5 (2019): 307-312. doi: https://doi.org/10.1089/g4h.2019.0057
Baranowski T, Lyons EJ, Thompson D. Experimental Design to Systematically Develop a Knowledge Base for Effective Games for Health. Games Health J. 2019 Oct;8(5):307-312. doi: 10.1089/g4h.2019.0057. Epub 2019 Jun 03. PMID: 31157990.
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Health Care Leadership: Managing Knowledge Bases as Stakeholders.

The health care manager

Rotarius T.
PMID: 29266088
Health Care Manag (Frederick). 2018 Jan/Mar;37(1):18-24. doi: 10.1097/HCM.0000000000000200.

Communities are composed of many organizations. These organizations naturally form clusters based on common patterns of knowledge, skills, and abilities of the individual organizations. Each of these spontaneous clusters represents a distinct knowledge base. The health care knowledge base...

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Rotarius T. Health Care Leadership: Managing Knowledge Bases as Stakeholders. Health Care Manag (Frederick). 2018;37(1):18-24doi: 10.1097/HCM.0000000000000200.
Rotarius, T. (2018). Health Care Leadership: Managing Knowledge Bases as Stakeholders. The health care manager, 37(1), 18-24. https://doi.org/10.1097/HCM.0000000000000200
Rotarius, Timothy. "Health Care Leadership: Managing Knowledge Bases as Stakeholders." The health care manager vol. 37,1 (2018): 18-24. doi: https://doi.org/10.1097/HCM.0000000000000200
Rotarius T. Health Care Leadership: Managing Knowledge Bases as Stakeholders. Health Care Manag (Frederick). 2018 Jan/Mar;37(1):18-24. doi: 10.1097/HCM.0000000000000200. PMID: 29266088.
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Letter to the editor: Dementia: Creating a Knowledge-Based Healthcare Profession.

The journal of prevention of Alzheimer's disease

Scerri C.
PMID: 29405238
J Prev Alzheimers Dis. 2018;5(1):85-86. doi: 10.14283/jpad.2017.43.

No abstract available.

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Scerri C. Letter to the editor: Dementia: Creating a Knowledge-Based Healthcare Profession. J Prev Alzheimers Dis. 2018;5(1):85-86doi: 10.14283/jpad.2017.43.
Scerri, C. (2018). Letter to the editor: Dementia: Creating a Knowledge-Based Healthcare Profession. The journal of prevention of Alzheimer's disease, 5(1), 85-86. https://doi.org/10.14283/jpad.2017.43
Scerri, C. "Letter to the editor: Dementia: Creating a Knowledge-Based Healthcare Profession." The journal of prevention of Alzheimer's disease vol. 5,1 (2018): 85-86. doi: https://doi.org/10.14283/jpad.2017.43
Scerri C. Letter to the editor: Dementia: Creating a Knowledge-Based Healthcare Profession. J Prev Alzheimers Dis. 2018;5(1):85-86. doi: 10.14283/jpad.2017.43. PMID: 29405238.
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Personalized Knowledge Transfer for Caregiving Relatives.

Studies in health technology and informatics

Wolff D, Behrends M, Gerlach M, Kupka T, Marschollek M.
PMID: 29678067
Stud Health Technol Inform. 2018;247:780-784.

Caregiving relatives have to manage very diverse tasks and need a lot of care-relevant knowledge. For most of them it is not easy to find the knowledge required. Thus, a personalized knowledge transfer for caregiving relatives is necessary. Against...

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Wolff D, Behrends M, Gerlach M, et al. Personalized Knowledge Transfer for Caregiving Relatives. Stud Health Technol Inform. 2018;247:780-784
Wolff, D., Behrends, M., Gerlach, M., Kupka, T., & Marschollek, M. (2018). Personalized Knowledge Transfer for Caregiving Relatives. Studies in health technology and informatics, 247780-784.
Wolff, Dominik, et al. "Personalized Knowledge Transfer for Caregiving Relatives." Studies in health technology and informatics vol. 247 (2018): 780-784.
Wolff D, Behrends M, Gerlach M, Kupka T, Marschollek M. Personalized Knowledge Transfer for Caregiving Relatives. Stud Health Technol Inform. 2018;247:780-784. PMID: 29678067.
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Field Reports: Can They Add to the Prehospital and Disaster Knowledge Base?.

Prehospital and disaster medicine

Stratton SJ.
PMID: 26451777
Prehosp Disaster Med. 2015 Oct;30(5):437. doi: 10.1017/S1049023X15005142.

No abstract available.

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Stratton SJ. Field Reports: Can They Add to the Prehospital and Disaster Knowledge Base?. Prehosp Disaster Med. 2015;30(5):437doi: 10.1017/S1049023X15005142.
Stratton, S. J. (2015). Field Reports: Can They Add to the Prehospital and Disaster Knowledge Base?. Prehospital and disaster medicine, 30(5), 437. https://doi.org/10.1017/S1049023X15005142
Stratton, Samuel J. "Field Reports: Can They Add to the Prehospital and Disaster Knowledge Base?." Prehospital and disaster medicine vol. 30,5 (2015): 437. doi: https://doi.org/10.1017/S1049023X15005142
Stratton SJ. Field Reports: Can They Add to the Prehospital and Disaster Knowledge Base?. Prehosp Disaster Med. 2015 Oct;30(5):437. doi: 10.1017/S1049023X15005142. PMID: 26451777.
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Using an Ontology-Based Approach to Handle Author Affiliations in a Large Biomedical Citation Database.

Studies in health technology and informatics

Sun H, Li J, Wu Y, Wang L, Fung KW.
PMID: 29295419
Stud Health Technol Inform. 2017;245:1338.

To handle differences in affiliation names submitted with biomedical journal articles, we build an affiliation knowledge base named Authority File for Affiliations (AFA) based on ontology principles. There are currently 113,700 affiliation concepts with about 583,700 affiliation names. The...

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Sun H, Li J, Wu Y, et al. Using an Ontology-Based Approach to Handle Author Affiliations in a Large Biomedical Citation Database. Stud Health Technol Inform. 2017;245:1338
Sun, H., Li, J., Wu, Y., Wang, L., & Fung, K. W. (2017). Using an Ontology-Based Approach to Handle Author Affiliations in a Large Biomedical Citation Database. Studies in health technology and informatics, 2451338.
Sun, Haixia, et al. "Using an Ontology-Based Approach to Handle Author Affiliations in a Large Biomedical Citation Database." Studies in health technology and informatics vol. 245 (2017): 1338.
Sun H, Li J, Wu Y, Wang L, Fung KW. Using an Ontology-Based Approach to Handle Author Affiliations in a Large Biomedical Citation Database. Stud Health Technol Inform. 2017;245:1338. PMID: 29295419.
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Statistics. The future lies in uncertainty.

Science (New York, N.Y.)

Spiegelhalter DJ.
PMID: 25035471
Science. 2014 Jul 18;345(6194):264-5. doi: 10.1126/science.1251122. Epub 2014 Jul 17.

No abstract available.

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Spiegelhalter DJ. Statistics. The future lies in uncertainty. Science. 2014;345(6194):264-5doi: 10.1126/science.1251122.
Spiegelhalter, D. J. (2014). Statistics. The future lies in uncertainty. Science (New York, N.Y.), 345(6194), 264-5. https://doi.org/10.1126/science.1251122
Spiegelhalter, D J. "Statistics. The future lies in uncertainty." Science (New York, N.Y.) vol. 345,6194 (2014): 264-5. doi: https://doi.org/10.1126/science.1251122
Spiegelhalter DJ. Statistics. The future lies in uncertainty. Science. 2014 Jul 18;345(6194):264-5. doi: 10.1126/science.1251122. Epub 2014 Jul 17. PMID: 25035471.
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Constructing Clinical Decision Support Systems for Adverse Drug Event Prevention: A Knowledge-based Approach.

AMIA ... Annual Symposium proceedings. AMIA Symposium

Koutkias V, Kilintzis V, Stalidis G, Lazou K, Collyda C, Chazard E, McNair P, Beuscart R, Maglaveras N.
PMID: 21347009
AMIA Annu Symp Proc. 2010 Nov 13;2010:402-6.

A knowledge-based approach is proposed that is employed for the construction of a framework suitable for the management and effective use of knowledge on Adverse Drug Event (ADE) prevention. The framework has as its core part a Knowledge Base...

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Koutkias V, Kilintzis V, Stalidis G, et al. Constructing Clinical Decision Support Systems for Adverse Drug Event Prevention: A Knowledge-based Approach. AMIA Annu Symp Proc. 2010;2010:402-6
Koutkias, V., Kilintzis, V., Stalidis, G., Lazou, K., Collyda, C., Chazard, E., McNair, P., Beuscart, R., & Maglaveras, N. (2010). Constructing Clinical Decision Support Systems for Adverse Drug Event Prevention: A Knowledge-based Approach. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2010402-6.
Koutkias, Vassilis, et al. "Constructing Clinical Decision Support Systems for Adverse Drug Event Prevention: A Knowledge-based Approach." AMIA ... Annual Symposium proceedings. AMIA Symposium vol. 2010 (2010): 402-6.
Koutkias V, Kilintzis V, Stalidis G, Lazou K, Collyda C, Chazard E, McNair P, Beuscart R, Maglaveras N. Constructing Clinical Decision Support Systems for Adverse Drug Event Prevention: A Knowledge-based Approach. AMIA Annu Symp Proc. 2010 Nov 13;2010:402-6. PMID: 21347009; PMCID: PMC3041377.
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Reorganizing the protein space at the Universal Protein Resource (UniProt).

Nucleic acids research

[No authors listed]
PMID: 22102590
Nucleic Acids Res. 2012 Jan;40:D71-5. doi: 10.1093/nar/gkr981. Epub 2011 Nov 18.

The mission of UniProt is to support biological research by providing a freely accessible, stable, comprehensive, fully classified, richly and accurately annotated protein sequence knowledgebase, with extensive cross-references and querying interfaces. UniProt is comprised of four major components, each...

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Reorganizing the protein space at the Universal Protein Resource (UniProt). Nucleic Acids Res. 2011;40:D71-5doi: 10.1093/nar/gkr981.
(2012). Reorganizing the protein space at the Universal Protein Resource (UniProt). Nucleic acids research, 40D71-5. https://doi.org/10.1093/nar/gkr981
"Reorganizing the protein space at the Universal Protein Resource (UniProt)." Nucleic acids research vol. 40 (2012): D71-5. doi: https://doi.org/10.1093/nar/gkr981
Reorganizing the protein space at the Universal Protein Resource (UniProt). Nucleic Acids Res. 2012 Jan;40:D71-5. doi: 10.1093/nar/gkr981. Epub 2011 Nov 18. PMID: 22102590; PMCID: PMC3245120.
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Showing 25 to 36 of 97 entries