[HTML][HTML] The performance of wearable sensors in the detection of SARS-CoV-2 infection: a systematic review
M Mitratza, BM Goodale, A Shagadatova… - The Lancet Digital …, 2022 - thelancet.com
Containing the COVID-19 pandemic requires rapidly identifying infected individuals. Subtle
changes in physiological parameters (such as heart rate, respiratory rate, and skin …
changes in physiological parameters (such as heart rate, respiratory rate, and skin …
Treatment and outcomes of invasive fusariosis: review of 65 cases from the PATH Alliance® registry
DL Horn, AG Freifeld, MG Schuster, NE Azie… - Mycoses, 2014 - Wiley Online Library
Invasive Fusarium infections occur in immunosuppressed patients, especially those with
haematological malignancies. We conducted a descriptive analysis of data from patients …
haematological malignancies. We conducted a descriptive analysis of data from patients …
[HTML][HTML] Epidemiology and Outcomes of Invasive Candidiasis Due to Non-albicans Species of Candida in 2,496 Patients: Data from the Prospective Antifungal …
MA Pfaller, DR Andes, DJ Diekema, DL Horn… - PloS one, 2014 - journals.plos.org
This analysis describes the epidemiology and outcomes of invasive candidiasis caused by
non-albicans species of Candida in patients enrolled in the Prospective Antifungal Therapy …
non-albicans species of Candida in patients enrolled in the Prospective Antifungal Therapy …
Explainable deep one-class classification
Deep one-class classification variants for anomaly detection learn a mapping that
concentrates nominal samples in feature space causing anomalies to be mapped away …
concentrates nominal samples in feature space causing anomalies to be mapped away …
Introducing PIONEER: a project to harness big data in prostate cancer research
Abstract Prostate Cancer Diagnosis and Treatment Enhancement Through the Power of Big
Data in Europe (PIONEER) is a European network of excellence for big data in prostate …
Data in Europe (PIONEER) is a European network of excellence for big data in prostate …
Rethinking assumptions in deep anomaly detection
Though anomaly detection (AD) can be viewed as a classification problem (nominal vs.
anomalous) it is usually treated in an unsupervised manner since one typically does not …
anomalous) it is usually treated in an unsupervised manner since one typically does not …
[HTML][HTML] Persistence and adherence with the new beta-3 receptor agonist, mirabegron, versus antimuscarinics in overactive bladder: early experience in Canada
Methods: We obtained retrospective claims from a Canadian Private Drug Plan database for
patients 18 years old and over, with a first claim for mirabegron or antimuscarinics during a 6 …
patients 18 years old and over, with a first claim for mirabegron or antimuscarinics during a 6 …
Epidemiological features of invasive mold infections among solid organ transplant recipients: PATH Alliance® registry analysis
Epidemiological characteristics of 333 proven and probable invasive mould infections (IMIs)
among solid organ transplant recipients (SOTRs) identified between 2004 and 2008 from …
among solid organ transplant recipients (SOTRs) identified between 2004 and 2008 from …
Exposing outlier exposure: What can be learned from few, one, and zero outlier images
Due to the intractability of characterizing everything that looks unlike the normal data,
anomaly detection (AD) is traditionally treated as an unsupervised problem utilizing only …
anomaly detection (AD) is traditionally treated as an unsupervised problem utilizing only …
[HTML][HTML] Validation of cancer cases using primary care, cancer registry, and hospitalization data in the United Kingdom
AV Margulis, J Fortuny, JA Kaye, B Calingaert… - …, 2018 - journals.lww.com
Background: In the United Kingdom, hospital or cancer registry data can be linked to
electronic medical records for a subset of general practices and years. Methods: We used …
electronic medical records for a subset of general practices and years. Methods: We used …