AIMC Topic: Humans

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Capsule Network Based Modeling of Multi-omics Data for Discovery of Breast Cancer-Related Genes.

IEEE/ACM transactions on computational biology and bioinformatics Apr 9, 2019
Breast cancer is one of the most common cancers all over the world, which bring about more than 450,000 deaths each year. Although this malignancy has been extensively studied by a large number of researchers, its prognosis is still poor. Since thera...
Deep Learning Computational Biology DNA Methylation DNA Copy Number Variations Genes, Neoplasm Breast Neoplasms Biomarkers, Tumor Transcriptome Humans Prognosis Female
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Identifying Factors That Affect Patient Survival After Orthotopic Liver Transplant Using Machine-Learning Techniques.

Experimental and clinical transplantation : official journal of the Middle East Society for Organ Transplantation Apr 9, 2019
OBJECTIVES: Survival after liver transplant depends on pretransplant, peritransplant, and posttransplant factors. Identifying effective factors for patient survival after transplant can help transplant centers make better decisions.
Liver Transplantation Iran Data Mining Risk Assessment Adolescent Time Factors Treatment Outcome Health Status Predictive Value of Tests Cross-Sectional Studies Male Middle Aged Humans Aged Retrospective Studies Machine Learning Young Adult Female Decision Support Techniques Adult Risk Factors
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Cervical cell recognition based on AGVF-Snake algorithm.

International journal of computer assisted radiology and surgery Apr 9, 2019
PURPOSE: In recent years, with the increasing incidence of cervical cancer, it is a tedious and time-consuming task with unsatisfying accuracy to manually recognize the cells. Machine recognition can be a good solution, but it suffers from the diffic...
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Artificial Intelligence Algorithms Female Uterine Cervical Neoplasms Diagnosis, Computer-Assisted Cervix Uteri Support Vector Machine Humans
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Mining Implicit Treatment Concepts for Neural Precision Medicine.

IEEE transactions on nanobioscience Apr 9, 2019
Precision medicine (PM) is regarded as an information retrieval (IR) task in which biomedical articles containing treatment information about specific diseases or genetic variants are retrieved in response to patient record for the purpose of providi...
Humans Decision Support Systems, Clinical Data Mining Medical Informatics Neural Networks, Computer Precision Medicine Neoplasms
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Applications of an interaction, process, integration and intelligence (IPII) design approach for ergonomics solutions.

Ergonomics Apr 9, 2019
This paper first reviews current ergonomics design approaches in delivering digital solutions to achieve a unified experience from interaction and business process design perspectives. Then, it analyses the opportunities that new technologies may bri...
Artificial Intelligence User-Computer Interface Equipment Design Ergonomics Humans
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Prediction of Hemolytic Toxicity for Saponins by Machine-Learning Methods.

Chemical research in toxicology Apr 9, 2019
Saponins are a type of compounds bearing a hydrophobic steroid/triterpenoid moiety and hydrophilic carbohydrate branches. The majority of the saponins demonstrate a broad range of prominent pharmacological activities. Nevertheless, many saponins also...
Saponins Hydrophobic and Hydrophilic Interactions Erythrocytes Humans Machine Learning Molecular Conformation Hemolysis
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[Can Big Data change our practices?].

Journal francais d'ophtalmologie Apr 9, 2019
The European Medicines Agency has defined Big Data by the "3 V's": Volume, Velocity and Variety. These large databases allow access to real life data on patient care. They are particularly suited for studies of adverse events and pharmacoepidemiology...
Cataract Extraction Algorithms Humans Supervised Machine Learning Cataract Diabetic Retinopathy Macular Degeneration Ophthalmology Information Storage and Retrieval Machine Learning Databases, Factual Big Data
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Deep-learning-based out-of-hospital cardiac arrest prognostic system to predict clinical outcomes.

Resuscitation Apr 9, 2019
AIM: Out-of-hospital cardiac arrest (OHCA) is a major healthcare burden, and prognosis is critical in decision-making for treatment and the withdrawal of life-sustaining therapy. This study aimed to develop and validate a deep-learning-based out-of-h...
Aged Adult Male Humans Retrospective Studies Middle Aged Treatment Outcome Female Deep Learning Registries Decision Support Systems, Clinical Out-of-Hospital Cardiac Arrest
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Weakly supervised convolutional LSTM approach for tool tracking in laparoscopic videos.

International journal of computer assisted radiology and surgery Apr 9, 2019
PURPOSE: Real-time surgical tool tracking is a core component of the future intelligent operating room (OR), because it is highly instrumental to analyze and understand the surgical activities. Current methods for surgical tool tracking in videos nee...
Humans Neural Networks, Computer Deep Learning Surgical Instruments Operative Time Laparoscopy Workflow
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Active learning using deep Bayesian networks for surgical workflow analysis.

International journal of computer assisted radiology and surgery Apr 9, 2019
PURPOSE: For many applications in the field of computer-assisted surgery, such as providing the position of a tumor, specifying the most probable tool required next by the surgeon or determining the remaining duration of surgery, methods for surgical...
Humans Neural Networks, Computer Workflow Machine Learning Surgery, Computer-Assisted Algorithms Bayes Theorem
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