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...
Davis, Jordan P Eddie, David Prindle, John Dworkin, Emily R Christie, Nina C Saba, Shaddy DiGuiseppi, Graham T Clapp, John D Kelly, John F
Published in
Addiction (Abingdon, England)
Several reports have documented risk factors for opioid use following treatment discharge, yet few have assessed sex differences, and no study has assessed risk using contemporary machine learning approaches. The goal of the present paper was to inform treatments for opioid use disorder (OUD) by exploring individual factors for each sex that are mo...
Braarud, Per Ø Bodal, Terje Hulsund, John E Louka, Michael N Nihlwing, Christer Nystad, Espen Svengren, Håkan Wingstedt, Emil
Published in
Human factors
To investigate speech features, human-machine alarms, and operator-system interaction for the estimation of cognitive workload in full-scale realistic simulated scenarios. Theories and models of cognitive workload are critical for the design and evaluation of human-machine systems. Unfortunately, there are very few nonintrusive cognitive workload m...
Huffman, Dillon Ajwad, Asma'a Yaghouby, Farid O'Hara, Bruce F Sunderam, Sridhar
Published in
Journal of sleep research
Subtle changes in sleep architecture can accompany and be symptomatic of many diseases or disorders. In order to probe and understand the complex interactions between sleep and health, the ability to model, track, and modulate sleep in preclinical animal models is vital. While various methods have been described for scoring experimental sleep recor...
Shi, Sheng Lei, Guiyu Yang, Lijing Zhang, Congya Fang, Zhongrong Li, Jun Wang, Guyan
Published in
Journal of cardiothoracic and vascular anesthesia
The study compared machine-learning models with traditional logistic regression to predicting liver outcomes after aortic arch surgery. Retrospective review from January 2013 to May 2017. Fuwai Hospital. The study comprised 672 consecutive patients who had undergone aortic arch surgery. Three machine-learning methods were compared with logistic reg...
Gutzwiller, Robert S Reeder, John
Published in
Human factors
We examined a method of machine learning (ML) to evaluate its potential to develop more trustworthy control of unmanned vehicle area search behaviors. ML typically lacks interaction with the user. Novel interactive machine learning (IML) techniques incorporate user feedback, enabling observation of emerging ML behaviors, and human collaboration dur...
Bhat, Seema S Fernandes, Tiago T Poojar, Pavan da Silva Ferreira, Marta Rao, Padma Chennagiri Hanumantharaju, Madigondanahalli Chikkam... Ogbole, Godwin Nunes, Rita G Geethanath, Sairam
Published in
Journal of magnetic resonance imaging : JMRI
Stroke is a leading cause of death and disability worldwide. The reasons for increased stroke burden in developing countries are inadequately controlled risk factors resulting from poor public awareness and inadequate infrastructure. Computed tomography and MRI are common neuroimaging modalities used to assess stroke with diffusion-weighted MRI, in...
Zhang, Yongshun Feng, Miao Zhang, Weimin Wang, Huizan Wang, Pinqiang
Published in
Journal of Oceanology and Limnology
The resolution of ocean reanalysis datasets is generally low because of the limited resolution of their associated numerical models. Low-resolution ocean reanalysis datasets are therefore usually interpolated to provide an initial or boundary field for higher-resolution regional ocean models. However, traditional interpolation methods (nearest neig...
Kumar, Anish Sharma, Renu Gupta, Arun Kumar Gujral, Rajneesh
Published in
Sādhanā
CP-Ti-G2 (Commercially pure titanium grade-2) has become the preferred biocompatible material for various devices mainly used in orthopedic and dental implants and it is also used in aviation and aircraft. While CP-Ti deals with good ductility, higher stiffness, and fatigue resistance. The novelty of present research work was to create a rough surf...
Charalambous, Stavros Klontzas, Michail E Kontopodis, Nikolaos Ioannou, Christos V Perisinakis, Kostas Maris, Thomas G Damilakis, John Karantanas, Apostolos Tsetis, Dimitrios
Published in
Acta radiologica (Stockholm, Sweden : 1987)
Persistent type 2 endoleaks (T2EL) require lifelong surveillance to avoid potentially life-threatening complications. To evaluate the performance of radiomic features (RF) derived from computed tomography angiography (CTA), for differentiating aggressive from benign T2ELs after endovascular aneurysm repair (EVAR). A prospective study was performed ...
