AIMC Topic: Humans
Showing 66531 to 66540 of 95995 articles
A signature-based machine learning model for distinguishing bipolar disorder and borderline personality disorder.
Translational psychiatry
Dec 13, 2018
Mobile technologies offer new opportunities for prospective, high resolution monitoring of long-term health conditions. The opportunities seem of particular promise in psychiatry where diagnoses often rely on retrospective and subjective recall of mo...
Recognition of Emotions Using Multichannel EEG Data and DBN-GC-Based Ensemble Deep Learning Framework.
Computational intelligence and neuroscience
Dec 13, 2018
Fusing multichannel neurophysiological signals to recognize human emotion states becomes increasingly attractive. The conventional methods ignore the complementarity between time domain characteristics, frequency domain characteristics, and time-freq...
Predicting instructed simulation and dissimulation when screening for depressive symptoms.
European archives of psychiatry and clinical neuroscience
Dec 12, 2018
The intentional distortion of test results presents a fundamental problem to self-report-based psychiatric assessment, such as screening for depressive symptoms. The first objective of the study was to clarify whether depressed patients like healthy ...
Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning.
IEEE transactions on neural networks and learning systems
Dec 12, 2018
Neural decoding, which aims to predict external visual stimuli information from evoked brain activities, plays an important role in understanding human visual system. Many existing methods are based on linear models, and most of them only focus on ei...
Machine learning for predicting psychotic relapse at 2 years in schizophrenia in the national FACE-SZ cohort.
Progress in neuro-psychopharmacology & biological psychiatry
Dec 12, 2018
BACKGROUND: Predicting psychotic relapse is one of the major challenges in the daily care of schizophrenia.
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Tuning model parameters in class-imbalanced learning with precision-recall curve.
Biometrical journal. Biometrische Zeitschrift
Dec 12, 2018
An issue for class-imbalanced learning is what assessment metric should be employed. So far, precision-recall curve (PRC) as a metric is rarely used in practice as compared with its alternative of receiver operating characteristic (ROC). This study i...
Isolated Pulmonary Cryptococcosis Confused with Lung Tumor 5 Years After Kidney Transplantation: A Case Report.
Transplantation proceedings
Dec 12, 2018
BACKGROUND: In transplant recipients, due to the use of immunosuppressive therapy, it is occasionally difficult to distinguish between an infection and malignancy, especially in the case of a lung lesion. Here, we report a case of isolated pulmonary ...
Indocyanine Green as a Beacon Light in Laparoscopy: A New Application in Transplant Surgery: A Case Report.
Transplantation proceedings
Dec 12, 2018
INTRODUCTION: Indocyanine green (ICG) fluorescence imaging system is a now a consolidated complementary technique for several surgical fields. The development of post-transplant lymphocele following lymph spread could affect kidney function; between ...
Influence of Pre-renal Transplant Secondary Hyperparathyroidism on Later Evolution After Transplantation.
Transplantation proceedings
Dec 12, 2018
Persistence of secondary hyperparathyroidism (SHPT) is common after renal transplantation. Good diagnosis and treatment are important to avoid complications. The objective of our work was to perform a retrospective analysis of the evolution of SHPT a...
Analysis of Kidney Donation and Its Relationship With Graft Failure of the Recipient at 1 Year.
Transplantation proceedings
Dec 12, 2018
INTRODUCTION: Currently, the shortage of organs available for kidney transplantation and a change in donors' and recipients' profiles (elderly, with cardiovascular risk, donors after cardiac death), it is becoming necessary to assess grafts from expa...
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