AIMC Topic: Decision Support Techniques

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Not the Last Word: Big Data Will Make You Confront Big Ethical Questions-Here's Why.

Clinical orthopaedics and related research Feb 1, 2019
Practice Patterns, Physicians' Evidence-Based Medicine Orthopedics Orthopedic Surgeons Attitude of Health Personnel Big Data Health Knowledge, Attitudes, Practice Data Mining Humans Machine Learning Decision Support Techniques
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Personalized Pancreatic Cancer Management: A Systematic Review of How Machine Learning Is Supporting Decision-making.

Pancreas Jan 1, 2019
This review critically analyzes how machine learning is being used to support clinical decision-making in the management of potentially resectable pancreatic cancer. Following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses...
Reproducibility of Results Humans Decision Making Machine Learning Pancreatic Neoplasms Decision Support Techniques Bayes Theorem Precision Medicine Markov Chains
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Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
The increasing amount of scientific literature in biological and biomedical science research has created a challenge in continuous and reliable curation of the latest knowledge discovered, and automatic biomedical text-mining has been one of the answ...
Algorithms Decision Support Techniques Reproducibility of Results Deep Learning Humans Knowledge Bases Genetic Association Studies Data Mining Computational Biology Markov Chains Databases, Genetic Unified Medical Language System PubMed
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Data for Adherence Decision Support.

Studies in health technology and informatics Jan 1, 2019
Technological interventions aimed at addressing medication non-adherence have shown some promise but do not deliver the full potential of an Internet of Things based Adherence Decision Support (ADS) system due, in part, to a lack high-resolution defi...
Artificial Intelligence Decision Support Techniques Pilot Projects Medication Adherence Data Collection
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Morphology-based prediction of cancer cell migration using an artificial neural network and a random decision forest.

Integrative biology : quantitative biosciences from nano to macro Dec 19, 2018
Metastasis is the cause of death in most patients of breast cancer and other solid malignancies. Identification of cancer cells with highly migratory capability to metastasize relies on markers for epithelial-to-mesenchymal transition (EMT), a proces...
Single-Cell Analysis Mice Cell Movement Epithelial-Mesenchymal Transition Models, Biological Neoplasm Metastasis Lab-On-A-Chip Devices Animals Neoplasms Deep Learning Cell Line, Tumor Decision Support Techniques Female Reproducibility of Results Breast Neoplasms Humans Neural Networks, Computer Algorithms
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Prediction of Transient or Permanent Congenital Hypothyroidism from Initial Thyroid Stimulating Hormone Levels.

Indian pediatrics Dec 15, 2018
OBJECTIVE: To identify factors that discriminate between transient and permanent congenital hypothyroidism.
Infant Disease Progression Child, Preschool Thyrotropin Retrospective Studies Humans Follow-Up Studies Thyroxine Female Decision Support Techniques Congenital Hypothyroidism Infant, Newborn Biomarkers Remission, Spontaneous Male Prognosis
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A Decision-Support Tool for Renal Mass Classification.

Journal of digital imaging Dec 1, 2018
We investigate the viability of statistical relational machine learning algorithms for the task of identifying malignancy of renal masses using radiomics-based imaging features. Features characterizing the texture, signal intensity, and other relevan...
Tomography, X-Ray Computed Clinical Decision-Making Reproducibility of Results Kidney Machine Learning Algorithms Decision Support Techniques Retrospective Studies Contrast Media Kidney Neoplasms Radiographic Image Enhancement Humans
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Machine learning for psychiatric patient triaging: an investigation of cascading classifiers.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2018
OBJECTIVE: Develop an approach, One-class-at-a-time, for triaging psychiatric patients using machine learning on textual patient records. Our approach aims to automate the triaging process and reduce expert effort while providing high classification ...
Triage Algorithms Patient Acuity Decision Support Techniques Pattern Recognition, Automated Mental Disorders Humans Medical Records Classification Reproducibility of Results Machine Learning
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Can Machine-learning Techniques Be Used for 5-year Survival Prediction of Patients With Chondrosarcoma?

Clinical orthopaedics and related research Oct 1, 2018
BACKGROUND: Several studies have identified prognostic factors for patients with chondrosarcoma, but there are few studies investigating the accuracy of computationally intensive methods such as machine learning. Machine learning is a type of artific...
Chondrosarcoma Decision Trees Predictive Value of Tests Bayes Theorem SEER Program Child United States Support Vector Machine Bone Neoplasms Retrospective Studies Female Reproducibility of Results Aged Middle Aged Humans Aged, 80 and over Diagnosis, Computer-Assisted Neural Networks, Computer Young Adult Adolescent Decision Support Techniques Adult Time Factors Prognosis Male
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Surgical Risk Is Not Linear: Derivation and Validation of a Novel, User-friendly, and Machine-learning-based Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) Calculator.

Annals of surgery Oct 1, 2018
INTRODUCTION: Most risk assessment tools assume that the impact of risk factors is linear and cumulative. Using novel machine-learning techniques, we sought to design an interactive, nonlinear risk calculator for Emergency Surgery (ES).
Humans Machine Learning Decision Support Techniques Risk Assessment Postoperative Complications Emergencies User-Computer Interface Predictive Value of Tests Surgical Procedures, Operative
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