Guan, Xin Zhang, Bo Fu, Ming Li, Mengying Yuan, Xu Zhu, Yaowu Peng, Jing Guo, Huan Lu, Yanjun
Published in
Annals of medicine
To appraise effective predictors for COVID-19 mortality in a retrospective cohort study. A total of 1270 COVID-19 patients, including 984 admitted in Sino French New City Branch (training and internal validation sets randomly split at 7:3 ratio) and 286 admitted in Optical Valley Branch (external validation set) of Wuhan Tongji hospital, were inclu...
Jain, Akhil (author)
Ultrawideband technology can be used to measure the distance between two device equipped with ultrawideband transceivers. Multiple ultrawideband devices known as anchors can localize a device that supports ultrawideband communication after each anchor measures the distance between itself and the device. The anchor and the tag can measure the distan...
Dutrieux, Sarah (author)
In an effort to improve an airport operation optimization model, this research investigates the possibility of predicting probability distributions of flight delays with machine learning algorithms. The research is centered around Rotterdam The Hague Airport, a regional airport in the Netherlands. The first objective is to test how well machine lea...
Storm, Joep (author)
Designing engineering structures relies on accurate numerical simulations to predict the behaviour of a structure before its realization. In the design process, many variables influence the final structure. There is an incentive for optimizing the design based on the desire for cheaper structures and less material usage. Although a wide variety of ...
Jo, Yong-Yeon Han, JaiHong Park, Hyun Woo Jung, Hyojung Lee, Jae Dong Jung, Jipmin Cha, Hyo Soung Sohn, Dae Kyung Hwangbo, Yul
Published in
JMIR medical informatics
Postoperative length of stay is a key indicator in the management of medical resources and an indirect predictor of the incidence of surgical complications and the degree of recovery of the patient after cancer surgery. Recently, machine learning has been used to predict complex medical outcomes, such as prolonged length of hospital stay, using ext...
Shah, Zubair Surian, Didi Dyda, Amalie Coiera, Enrico Mandl, Kenneth D Dunn, Adam G
Published in
Journal of Medical Internet Research
Background Tools used to appraise the credibility of health information are time-consuming to apply and require context-specific expertise, limiting their use for quickly identifying and mitigating the spread of misinformation as it emerges. Objective The aim of this study was to estimate the proportion of vaccine-related Twitter posts linked to We...
Riekeles, Max Schirmack, Janosch Schulze-Makuch, Dirk
(1) Background: Future missions to potentially habitable places in the Solar System require biochemistry-independent methods for detecting potential alien life forms. The technology was not advanced enough for onboard machine analysis of microscopic observations to be performed in past missions, but recent increases in computational power make the ...
Sáez, Carlos Romero, Nekane Conejero, J Alberto García-Gómez, Juan M
Published in
Journal of the American Medical Informatics Association : JAMIA
The lack of representative coronavirus disease 2019 (COVID-19) data is a bottleneck for reliable and generalizable machine learning. Data sharing is insufficient without data quality, in which source variability plays an important role. We showcase and discuss potential biases from data source variability for COVID-19 machine learning. We used the ...
ZAKOTNIK, JURE
Področje odkrivanja skupin (angl.clustering) v podatkih je dandanes dobro raziskano, vendar se še vedno iščejo novi pristopi za izboljšanje kakovosti odkrivanja skupin. Eden izmed takih pristopov je možnost interakcije domenskih strokovnjakov z odkrivanjem skupin tako, da eksperti podajajo domensko znanje v obliki pozitivnih (angl. must-link) in ne...
Daoust, François Nguyen, Tien Orsini, Patrick Bismuth, Jacques de Denus-Baillargeon, Marie-Maude Veilleux, Israel Wetter, Alexandre Mckoy, Philippe Dicaire, Isabelle Massabki, Maroun
...
Published in
Journal of Biomedical Optics
Significance: Raman spectroscopy has been developed for surgical guidance applications interrogating live tissue during tumor resection procedures to detect molecular contrast consistent with cancer pathophysiological changes. To date, the vibrational spectroscopy systems developed for medical applications include single-point measurement probes an...