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Health technology assessment to optimize health technology utilization: Using implementation initiatives and monitoring processes

Katrine Bjørnebek Frønsdal, Karen M. Facey, Marianne Klemp, Inger Natvig Norderhaug et al. • International Journal of Technology Assessment in Health Care (2010)

BACKGROUND: The way in which a health technology is used in any particular health system depends on the decisions and actions of a variety of stakeholders, the local culture, and context. In 2009, the HTAi Policy Forum considered how health...

OPENALEX Open Access DOI: https://doi.org/10.1017/s0266462310000309

SequelTools: a suite of tools for working with PacBio Sequel raw sequence data

David E. Hufnagel, Matthew B. Hufford, Arun S. Seetharam • BMC Bioinformatics (2020)

Abstract Background PacBio sequencing is an incredibly valuable third-generation DNA sequencing method due to very long read lengths, ability to detect methylated bases, and its real-time sequencing methodology. Yet, hitherto no tool was av...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12859-020-03751-8

The Late Bronze Age settlement site of Březnice: Magnetometer survey data

Martin Kuna, Roman Křivánek, Ondřej Chvojka, Tereza Šálková • Data in Brief (2021)

The archaeological site of Březnice (Czechia) represents one of the large settlements of the Late Bronze Age (Ha A2/B1, 14C: 1124–976 BC) in Bohemia. The site became known mainly for a high number of so-called ‘trenches’, oblong pit feature...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2021.106793

Medical Biotechnology

Dylan R. Pillai • Clinical Infectious Diseases (2014)

Both the diagnosis and treatment of human disease have undergone radical changes since the seminal discoveries of molecular biology, magnetic resonance imaging, mass spectrometry, and vaccine development, to name but a few. Glick and collea...

OPENALEX DOI: https://doi.org/10.1093/cid/ciu510

Systematic Mapping Studies in Software Engineering

Kai Petersen, ROBERT H. FELDT, Shahid Mujtaba, Michael Mattsson • Electronic workshops in computing (2008)

BACKGROUND: A software engineering systematic map is a defined method to build a classification scheme and structure a software engineering field of interest. The analysis of results focuses on frequencies of publications for categories wit...

OPENALEX cc-by DOI: https://doi.org/10.14236/ewic/ease2008.8

Wiley StatsRef: Statistics Reference Online

Mark van der Loo, Edwin de Jonge • Wiley eBooks (2014)

Wiley StatsRef: Statistics Reference Online is a comprehensive online reference resource which covers the fundamentals and applications of statistics in all fields where it is widely used. This is the most inclusive, authoritative, online r...

OPENALEX Open Access DOI: https://doi.org/10.1002/9781118445112

Uses of Electronic Health Records for Public Health Surveillance to Advance Public Health

Guthrie S. Birkhead, Michael Klompas, Nirav R. Shah • Annual Review of Public Health (2015)

Public health surveillance conducted by health departments in the United States has improved in completeness and timeliness owing to electronic laboratory reporting. However, the collection of detailed clinical information about reported ca...

OPENALEX Open Access DOI: https://doi.org/10.1146/annurev-publhealth-031914-122747

Computer Vision and Pattern Recognition 2020

Zeynep Akata, Andreas Geiger, Torsten Sattler • International Journal of Computer Vision (2021)

This special issue covers a wide range of topics from the area of Computer Vision, Pattern Recognition, and Machine Learning.This breadth of scope is reflected by the papers included in this special issue, which touch topics including geome...

OPENALEX cc-by DOI: https://doi.org/10.1007/s11263-021-01522-3

A computer vision for animal ecology

Ben G. Weinstein • Journal of Animal Ecology (2017)

A central goal of animal ecology is to observe species in the natural world. The cost and challenge of data collection often limit the breadth and scope of ecological study. Ecologists often use image capture to bolster data collection in t...

OPENALEX Open Access DOI: https://doi.org/10.1111/1365-2656.12780

Machine learning in cardiovascular medicine: are we there yet?

Khader Shameer, Kipp W. Johnson, Benjamin Scott Glicksberg, Joel T. Dudley et al. • Heart (2018)

Artificial intelligence (AI) broadly refers to analytical algorithms that iteratively learn from data, allowing computers to find hidden insights without being explicitly programmed where to look. These include a family of operations encomp...

OPENALEX DOI: https://doi.org/10.1136/heartjnl-2017-311198

Opportunities and Challenges for Machine Learning in Materials Science

Dane D. Morgan, Ryan Jacobs • Annual Review of Materials Research (2020)

Advances in machine learning have impacted myriad areas of materials science, such as the discovery of novel materials and the improvement of molecular simulations, with likely many more important developments to come. Given the rapid chang...

OPENALEX Open Access DOI: https://doi.org/10.1146/annurev-matsci-070218-010015