AIMC Topic: Benchmarking

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Validating the validation: reanalyzing a large-scale comparison of deep learning and machine learning models for bioactivity prediction.

Journal of computer-aided molecular design Jan 20, 2020
Machine learning methods may have the potential to significantly accelerate drug discovery. However, the increasing rate of new methodological approaches being published in the literature raises the fundamental question of how models should be benchm...
Area Under Curve Benchmarking Drug Evaluation, Preclinical User-Computer Interface ROC Curve Support Vector Machine Humans Machine Learning Drug Discovery Deep Learning Algorithms Computer Simulation
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Machine learning can identify newly diagnosed patients with CLL at high risk of infection.

Nature communications Jan 17, 2020
Infections have become the major cause of morbidity and mortality among patients with chronic lymphocytic leukemia (CLL) due to immune dysfunction and cytotoxic CLL treatment. Yet, predictive models for infection are missing. In this work, we develop...
Humans Female Risk Factors Aged Leukemia, Lymphocytic, Chronic, B-Cell Machine Learning Algorithms Databases, Factual Cohort Studies Benchmarking Infections Kaplan-Meier Estimate Male Middle Aged Antineoplastic Agents
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Polygenic risk scores outperform machine learning methods in predicting coronary artery disease status.

Genetic epidemiology Jan 10, 2020
Coronary artery disease (CAD) is the leading global cause of mortality and has substantial heritability with a polygenic architecture. Recent approaches of risk prediction were based on polygenic risk scores (PRS) not taking possible nonlinear effect...
Probability Multifactorial Inheritance Bayes Theorem Coronary Artery Disease Benchmarking Support Vector Machine Humans Databases, Genetic Genetic Predisposition to Disease Machine Learning Models, Genetic ROC Curve
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Localization of common carotid artery transverse section in B-mode ultrasound images using faster RCNN: a deep learning approach.

Medical & biological engineering & computing Jan 2, 2020
Cardiologists can acquire important information related to patients' cardiac health using carotid artery stiffness, its lumen diameter (LD), and its carotid intima-media thickness (cIMT). The sonographers primarily concern about the location of the a...
Humans Neural Networks, Computer Ultrasonography Image Processing, Computer-Assisted Benchmarking Carotid Arteries Algorithms Reproducibility of Results Deep Learning
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Protocol for the Effectiveness of an Anesthesiology Control Tower System in Improving Perioperative Quality Metrics and Clinical Outcomes: the TECTONICS randomized, pragmatic trial.

F1000Research Nov 29, 2019
Perioperative morbidity is a public health priority, and surgical volume is increasing rapidly. With advances in technology, there is an opportunity to research the utility of a telemedicine-based control center for anesthesia clinicians that assess...
Arterial Pressure Benchmarking Humans Telemedicine Adult Anesthesiology Respiration, Artificial
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Development of New Methods Needs Proper Evaluation-Benchmarking Sets for Machine Learning Experiments for Class A GPCRs.

Journal of chemical information and modeling Nov 22, 2019
New computational approaches for virtual screening applications are constantly being developed. However, before a particular tool is used to search for new active compounds, its effectiveness in the type of task must be examined. In this study, we co...
Machine Learning User-Computer Interface Drug Evaluation, Preclinical Ligands Receptors, G-Protein-Coupled Benchmarking
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Towards near real-time assessment of surgical skills: A comparison of feature extraction techniques.

Computer methods and programs in biomedicine Nov 19, 2019
BACKGROUND AND OBJECTIVE: Surgical skill assessment aims to objectively evaluate and provide constructive feedback for trainee surgeons. Conventional methods require direct observation with assessment from surgical experts which are both unscalable a...
Education, Medical, Graduate Benchmarking Machine Learning Surgery, Computer-Assisted Algorithms Clinical Competence Humans Databases, Factual Cluster Analysis General Surgery Neural Networks, Computer Reproducibility of Results Automation Principal Component Analysis Deep Learning Robotic Surgical Procedures Sutures
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Benchmarking Parametric and Machine Learning Models for Genomic Prediction of Complex Traits.

G3 (Bethesda, Md.) Nov 5, 2019
The usefulness of genomic prediction in crop and livestock breeding programs has prompted efforts to develop new and improved genomic prediction algorithms, such as artificial neural networks and gradient tree boosting. However, the performance of th...
Plants Genomics Genotype Benchmarking Neural Networks, Computer Machine Learning Phenotype
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A Subject-Transfer Framework Based on Single-Trial EMG Analysis Using Convolutional Neural Networks.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 11, 2019
In recent years, electromyography (EMG)-based practical myoelectric interfaces have been developed to improve the quality of daily life for people with physical disabilities. With these interfaces, it is very important to decode a user's movement int...
Healthy Volunteers Movement Benchmarking Machine Learning Amputees Algorithms Intention Databases, Factual Female User-Computer Interface Humans Reproducibility of Results Hand Computer Systems Neural Networks, Computer Adult Electromyography Male
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Hubless keypoint-based 3D deformable groupwise registration.

Medical image analysis Sep 24, 2019
We present a novel algorithm for Fast Registration Of image Groups (FROG), applied to large 3D image groups. Our approach extracts 3D SURF keypoints from images, computes matched pairs of keypoints and registers the group by minimizing pair distances...
Image Interpretation, Computer-Assisted Humans Artificial Intelligence Anatomic Landmarks Algorithms Benchmarking Imaging, Three-Dimensional
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