Automation of training and testing motor and related tasks in pre-clinical behavioural and rehabilitative neuroscience
Sign Up to like & getrecommendations! Published in 2021 at "Experimental Neurology"
DOI: 10.1016/j.expneurol.2021.113647
Abstract: Testing and training animals in motor and related tasks is a cornerstone of pre-clinical behavioural and rehabilitative neuroscience. Yet manually testing and training animals in these tasks is time consuming and analyses are often subjective.… read more here.
Keywords: motor related; training testing; automation; motor ... See more keywords
Learning Optimal Distributionally Robust Individualized Treatment Rules
Sign Up to like & getrecommendations! Published in 2021 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2020.1796359
Abstract: Abstract Recent development in the data-driven decision science has seen great advances in individualized decision making. Given data with individual covariates, treatment assignments and outcomes, policy makers best individualized treatment rule (ITR) that maximizes the… read more here.
Keywords: individualized treatment; training testing; itr; treatment ... See more keywords
Assessing model accuracy using random data split: a simulation study
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Biopharmaceutical Statistics"
DOI: 10.1080/10543406.2022.2089158
Abstract: ABSTRACT Randomization is considered a safeguard against bias and a gold standard in clinical studies. To assess the generalizability of the accuracy of a model, a common approach is to randomly split a master data… read more here.
Keywords: split; accuracy; random split; training testing ... See more keywords
Enhanced Skin Condition Prediction Through Machine Learning Using Dynamic Training and Testing Augmentation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2976045
Abstract: In recent years, deep learning has taken the spotlight in automated medical bioimaging. However, the performance of current state-of-the-art score stems primarily from well-tuned parameters and architecture. There is still only limited research focused on… read more here.
Keywords: dynamic training; model; augmentation; training testing ... See more keywords
Training, testing and remediating: the importance of simulation for surgical trainees
Sign Up to like & getrecommendations! Published in 2019 at "ANZ Journal of Surgery"
DOI: 10.1111/ans.15274
Abstract: Simulation-based surgical training has become invaluable in training doctors, improving patient safety and offering a safe arena for learning technical skills. With work-hour regulations limiting time spent in hands-on clinical activity (operating, patient care, emergency… read more here.
Keywords: training testing; remediating importance; training; importance simulation ... See more keywords
The Effect of Training and Testing Process on Machine Learning in Biomedical Datasets
Sign Up to like & getrecommendations! Published in 2020 at "Mathematical Problems in Engineering"
DOI: 10.1155/2020/2836236
Abstract: Training and testing process for the classification of biomedical datasets in machine learning is very important. The researcher should choose carefully the methods that should be used at every step. However, there are very few… read more here.
Keywords: machine learning; section; testing process; training testing ... See more keywords
Group-based, autonomous, individualized training and testing of long-tailed macaques (Macaca fascicularis) in their home enclosure to a visuo-acoustic discrimination task
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2022.1047242
Abstract: In recent years, the utility and efficiency of automated procedures for cognitive assessment in psychology and neuroscience have been demonstrated in non-human primates (NHP). This approach mimics conventional shaping principles of breaking down a final… read more here.
Keywords: long tailed; task; training testing; discrimination ... See more keywords
Classifying Characteristics of Opioid Use Disorder From Hospital Discharge Summaries Using Natural Language Processing
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Public Health"
DOI: 10.3389/fpubh.2022.850619
Abstract: Background Opioid use disorder (OUD) is underdiagnosed in health system settings, limiting research on OUD using electronic health records (EHRs). Medical encounter notes can enrich structured EHR data with documented signs and symptoms of OUD… read more here.
Keywords: training testing; opioid use; discharge summaries; use disorder ... See more keywords
The Superiority of Data-Driven Techniques for Estimation of Daily Pan Evaporation
Sign Up to like & getrecommendations! Published in 2021 at "Atmosphere"
DOI: 10.3390/atmos12060701
Abstract: In the present study, estimating pan evaporation (Epan) was evaluated based on different input parameters: maximum and minimum temperatures, relative humidity, wind speed, and bright sunshine hours. The techniques used for estimating Epan were the… read more here.
Keywords: model; training testing; scenario includes; scenario ... See more keywords