AIMC Topic: Decision Support Techniques

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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.
Humans Predictive Value of Tests Liver Transplantation Iran Data Mining Cross-Sectional Studies Male Middle Aged Risk Assessment Adolescent Time Factors Treatment Outcome Health Status Risk Factors Aged Young Adult Adult Machine Learning Decision Support Techniques Retrospective Studies Female
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Machine learning applied to multi-sensor information to reduce false alarm rate in the ICU.

Journal of clinical monitoring and computing Apr 6, 2019
Studies reveal that the false alarm rate (FAR) demonstrated by intensive care unit (ICU) vital signs monitors ranges from 0.72 to 0.99. We applied machine learning (ML) to ICU multi-sensor information to imitate a medical specialist in diagnosing pat...
Humans Machine Learning Decision Support Techniques Retrospective Studies Expert Systems Pattern Recognition, Automated False Positive Reactions Intensive Care Units Clinical Alarms Monitoring, Physiologic Knowledge Bases Critical Care
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Towards a decision support tool for intensive care discharge: machine learning algorithm development using electronic healthcare data from MIMIC-III and Bristol, UK.

BMJ open Mar 7, 2019
OBJECTIVE: The primary objective is to develop an automated method for detecting patients that are ready for discharge from intensive care.
Machine Learning Algorithms Decision Support Techniques Electronic Health Records Humans Patient Discharge Critical Care Patient Readmission Female Male England Length of Stay
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Artificial intelligence in the intensive care unit.

Critical care (London, England) Jan 10, 2019
Humans Artificial Intelligence Decision Support Techniques Intensive Care Units Critical Care
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A Group Decision Making Framework Based on Neutrosophic TOPSIS Approach for Smart Medical Device Selection.

Journal of medical systems Jan 10, 2019
Advances in the medical industry has become a major trend because of the new developments in information technologies. This research offers a novel approach for estimating the smart medical devices (SMDs) selection process in a group decision making ...
Humans Decision Support Techniques Wearable Electronic Devices Diabetes Mellitus Fuzzy Logic Decision Making Blood Glucose Self-Monitoring
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Machine learning in suicide science: Applications and ethics.

Behavioral sciences & the law Jan 4, 2019
For decades, our ability to predict suicide has remained at near-chance levels. Machine learning has recently emerged as a promising tool for advancing suicide science, particularly in the domain of suicide prediction. The present review provides an ...
Unsupervised Machine Learning Ethics, Medical Probability Algorithms Decision Support Techniques Research Risk Assessment Suicide Prevention Suicide Longitudinal Studies Cluster Analysis Humans Machine Learning
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Prediction of implantation after blastocyst transfer in in vitro fertilization: a machine-learning perspective.

Fertility and sterility Jan 2, 2019
OBJECTIVE: To develop a random forest model (RFM) to predict implantation potential of a transferred embryo and compare it with a multivariate logistic regression model (MvLRM), based on data from a large cohort including in vitro fertilization (IVF)...
Infertility Single Embryo Transfer Embryo Implantation Pregnancy Fertility Female Humans Sperm Injections, Intracytoplasmic Reproducibility of Results Male Machine Learning Risk Factors Decision Support Techniques Risk Assessment Retrospective Studies Fertilization in Vitro Treatment Outcome
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Direct Feature Evaluation in Black-Box Optimization Using Problem Transformations.

Evolutionary computation Dec 28, 2018
Exploratory Landscape Analysis provides sample-based methods to calculate features of black-box optimization problems in a quantitative and measurable way. Many problem features have been proposed in the literature in an attempt to provide insights i...
Decision Support Techniques Computational Biology Sample Size Benchmarking Humans Problem Solving Machine Learning Algorithms
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Predicting persistent depressive symptoms in older adults: A machine learning approach to personalised mental healthcare.

Journal of affective disorders Dec 25, 2018
BACKGROUND: Depression causes significant physical and psychosocial morbidity. Predicting persistence of depressive symptoms could permit targeted prevention, and lessen the burden of depression. Machine learning is a rapidly expanding field, and suc...
Predictive Value of Tests Aged, 80 and over Male Risk Assessment Psychiatric Status Rating Scales Decision Support Techniques Depression Humans Delivery of Health Care Logistic Models Machine Learning Follow-Up Studies Female Algorithms Age Factors Aged
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Prediction and evaluation of the severity of acute respiratory distress syndrome following severe acute pancreatitis using an artificial neural network algorithm model.

HPB : the official journal of the International Hepato Pancreato Biliary Association Dec 24, 2018
BACKGROUND: To predict the risk and severity of acute respiratory distress syndrome (ARDS) following severe acute pancreatitis (SAP) by artificial neural networks (ANNs) model.
Severity of Illness Index Respiratory Distress Syndrome Predictive Value of Tests Pancreatitis Adult Male Middle Aged Risk Assessment Prognosis Female Reproducibility of Results Risk Factors Humans Neural Networks, Computer Decision Support Techniques
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