AIMC Topic: Decision Making

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A hybrid approach based on the analytic hierarchy process and 2-tuple hybrid ordered weighted averaging for location selection of distribution centers.

PloS one Nov 8, 2018
Distribution centers (DCs) are an important part of the modern logistics system. The selection of a location for a DC is significant for saving costs and reducing externalities caused by distribution. In this paper, we propose a new hybrid method bas...
Fuzzy Logic Decision Making
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Toward analyzing and synthesizing previous research in early prediction of cardiac arrest using machine learning based on a multi-layered integrative framework.

Journal of biomedical informatics Oct 30, 2018
BACKGROUND: One of the significant problems in the field of healthcare is the low survival rate of people who have experienced sudden cardiac arrest. Early prediction of cardiac arrest can provide the time required for intervening and preventing its ...
Algorithms Databases, Factual Research Reproducibility of Results Support Vector Machine Decision Making Medical Informatics Proportional Hazards Models Heart Arrest Humans
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The Moral Machine experiment.

Nature Oct 24, 2018
With the rapid development of artificial intelligence have come concerns about how machines will make moral decisions, and the major challenge of quantifying societal expectations about the ethical principles that should guide machine behaviour. To a...
Pedestrians Accidents, Traffic Data Collection Internationality Male Harm Reduction Morals Humans Decision Making Translating Public Opinion Artificial Intelligence Motor Vehicles Robotics Female Internet
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Machine learning to support social media empowered patients in cancer care and cancer treatment decisions.

PloS one Oct 18, 2018
BACKGROUND: A primary variant of social media, online support groups (OSG) extend beyond the standard definition to incorporate a dimension of advice, support and guidance for patients. OSG are complementary, yet significant adjunct to patient journe...
Prostatic Neoplasms Internet Information Dissemination Patient Participation Social Support Emotions Decision Making Social Media Self-Help Groups Humans Community Networks Machine Learning Adult Aged Male Aged, 80 and over Middle Aged Quality of Life
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A predictive model for high/low risk group according to oncotype DX recurrence score using machine learning.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Oct 16, 2018
BACKGROUND: Oncotype DX(ODX) is a 21-gene breast cancer recurrence score(RS) assay that aids in decision-making for chemotherapy in early-stage hormone receptor-positive(HR+)breast cancer. We developed a prediction tool using machine learning for hig...
Patient Selection Biomarkers, Tumor Middle Aged Risk Assessment Neoplasm Invasiveness Decision Making Predictive Value of Tests Neoplasm Staging Neoplasm Grading Female Aged Adult Breast Neoplasms Humans Machine Learning Retrospective Studies Republic of Korea
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askMUSIC: Leveraging a Clinical Registry to Develop a New Machine Learning Model to Inform Patients of Prostate Cancer Treatments Chosen by Similar Men.

European urology Oct 11, 2018
BACKGROUND: Clinical registries provide physicians with a means for making data-driven decisions but few opportunities exist for patients to interact with registry data to help make decisions.
Aged Male Middle Aged Models, Theoretical Humans Machine Learning Prospective Studies Internet Decision Making Patient Education as Topic Prostatic Neoplasms Registries
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relSCAN - A system for extracting chemical-induced disease relation from biomedical literature.

Journal of biomedical informatics Oct 6, 2018
This paper proposes an effective and robust approach for Chemical-Induced Disease (CID) relation extraction from PubMed articles. The study was performed on the Chemical Disease Relation (CDR) task of BioCreative V track-3 corpus. The proposed system...
Humans Machine Learning Algorithms Chemically-Induced Disorders Data Mining Medical Informatics Random Allocation Disease Support Vector Machine Decision Making Regression Analysis Publications
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3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas.

Cancer research Oct 2, 2018
: Identification of early-stage pulmonary adenocarcinomas before surgery, especially in cases of subcentimeter cancers, would be clinically important and could provide guidance to clinical decision making. In this study, we developed a deep learning ...
Male Humans Adenocarcinoma Middle Aged Neural Networks, Computer Neoplasm Invasiveness Diagnosis, Computer-Assisted Precision Medicine Deep Learning Decision Making Prognosis Area Under Curve Retrospective Studies Adolescent Mutation Tomography, X-Ray Computed Aged Imaging, Three-Dimensional Female Aged, 80 and over Image Processing, Computer-Assisted Young Adult Lung Neoplasms Adult
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An Approach to Determining Attribute Weights Based on Integrating Preference Information on Attributes with Decision Matrix.

Computational intelligence and neuroscience Oct 1, 2018
The interval multiple attribute decision-making problems are studied in this paper, where the preference information on attributes is expressed with preference orderings, linguistic terms, interval numbers, and inequality constraints among partial at...
Fuzzy Logic Artificial Intelligence Decision Making Decision Support Techniques Entropy Linguistics
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Predicting of anaphylaxis in big data EMR by exploring machine learning approaches.

Journal of biomedical informatics Sep 25, 2018
Anaphylaxis is a life-threatening allergic reaction that occurs suddenly after contact with an allergen. Epidemiological studies about anaphylaxis are very important in planning and evaluating new strategies that prevent this reaction, but also in pr...
Machine Learning Medical Informatics Algorithms Humans Linear Models Big Data Neural Networks, Computer Electronic Health Records Anaphylaxis Cluster Analysis Language Decision Making Regression Analysis
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