AIMC Topic: Young Adult
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Development and Validation of a Deep Neural Network for Accurate Evaluation of Endoscopic Images From Patients With Ulcerative Colitis.
Gastroenterology
Feb 12, 2020
BACKGROUND & AIMS: There are intra- and interobserver variations in endoscopic assessment of ulcerative colitis (UC) and biopsies are often collected for histologic evaluation. We sought to develop a deep neural network system for consistent, objecti...
Colonoscopy
Severity of Illness Index
Young Adult
Diagnosis, Computer-Assisted
Adult
Female
Deep Learning
Male
Humans
Reproducibility of Results
Adolescent
Remission Induction
Middle Aged
Databases, Factual
Aged
Treatment Outcome
Colon
Image Interpretation, Computer-Assisted
Prospective Studies
Aged, 80 and over
Wound Healing
Colitis, Ulcerative
Predictive Value of Tests
Biopsy
Explainable Machine Learning Approach as a Tool to Understand Factors Used to Select the Refractive Surgery Technique on the Expert Level.
Translational vision science & technology
Feb 12, 2020
PURPOSE: Recently, laser refractive surgery options, including laser epithelial keratomileusis, laser in situ keratomileusis, and small incision lenticule extraction, successfully improved patients' quality of life. Evidence-based recommendation for ...
Fitting prediction rule ensembles to psychological research data: An introduction and tutorial.
Psychological methods
Feb 10, 2020
Prediction rule ensembles (PREs) are a relatively new statistical learning method, which aim to strike a balance between predictive performance and interpretability. Starting from a decision tree ensemble, like a boosted tree ensemble or a random for...
Towards an ontology of cognitive processes and their neural substrates: A structural equation modeling approach.
PloS one
Feb 10, 2020
A key challenge in the field of cognitive neuroscience is to identify discriminable cognitive functions, and then map these functions to brain activity. In the current study, we set out to explore the relationships between performance arising from di...
Decoding dynamic affective responses to naturalistic videos with shared neural patterns.
NeuroImage
Feb 7, 2020
This study explored the feasibility of using shared neural patterns from brief affective episodes (viewing affective pictures) to decode extended, dynamic affective sequences in a naturalistic experience (watching movie-trailers). Twenty-eight partic...
Better efficacy in differentiating WHO grade II from III oligodendrogliomas with machine-learning than radiologist's reading from conventional T1 contrast-enhanced and fluid attenuated inversion recovery images.
BMC neurology
Feb 7, 2020
BACKGROUND: The medical imaging to differentiate World Health Organization (WHO) grade II (ODG2) from III (ODG3) oligodendrogliomas still remains a challenge. We investigated whether combination of machine leaning with radiomics from conventional T1 ...
Feature rearrangement based deep learning system for predicting heart failure mortality.
Computer methods and programs in biomedicine
Feb 6, 2020
BACKGROUND AND OBJECTIVE: Heart Failure is a clinical syndrome commonly caused by any structural or functional impairment. Fast and accurate mortality prediction for Heart Failure is essential to improve the health care of patients and prevent them f...
Predicting 10-Year Risk of End-Organ Complications of Type 2 Diabetes With and Without Metabolic Surgery: A Machine Learning Approach.
Diabetes care
Feb 6, 2020
OBJECTIVE: To construct and internally validate prediction models to estimate the risk of long-term end-organ complications and mortality in patients with type 2 diabetes and obesity that can be used to inform treatment decisions for patients and pra...
Development and Validation of a Machine Learning Individualized Treatment Rule in First-Episode Schizophrenia.
JAMA network open
Feb 5, 2020
IMPORTANCE: Little guidance exists to date on how to select antipsychotic medications for patients with first-episode schizophrenia.
Human arm weight compensation in rehabilitation robotics: efficacy of three distinct methods.
Journal of neuroengineering and rehabilitation
Feb 5, 2020
BACKGROUND: Arm weight compensation with rehabilitation robots for stroke patients has been successfully used to increase the active range of motion and reduce the effects of pathological muscle synergies. However, the differences in structure, perfo...
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