AIMC Topic: Decision Support Techniques

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Applicability Domain of Active Learning in Chemical Probe Identification: Convergence in Learning from Non-Specific Compounds and Decision Rule Clarification.

Molecules (Basel, Switzerland) Jul 26, 2019
Efficient identification of chemical probes for the manipulation and understanding of biological systems demands specificity for target proteins. Computational means to optimize candidate compound selection for experimental selectivity evaluation are...
Quantitative Structure-Activity Relationship Algorithms Decision Support Techniques Reproducibility of Results Drug Discovery Computational Biology Models, Theoretical Decision Trees Ligands Chemical Phenomena Databases, Chemical Machine Learning
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A Diagnostic Prediction Model of Acute Symptomatic Portal Vein Thrombosis.

Annals of vascular surgery Jul 25, 2019
BACKGROUND: The aim of this study was to develop a diagnostic prediction model to improve identification of acute symptomatic portal vein thrombosis (PVT).
Reproducibility of Results Risk Factors Adult Male Middle Aged Acute Disease Humans Portal Vein Decision Support Techniques Retrospective Studies Female Diagnosis, Computer-Assisted China Support Vector Machine Venous Thrombosis Predictive Value of Tests
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How will artificial intelligence affect diagnosis and treatment of liver disease?

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Jul 14, 2019
Humans Artificial Intelligence Decision Support Techniques Liver Diseases
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Leveraging Machine Learning Techniques to Forecast Patient Prognosis After Percutaneous Coronary Intervention.

JACC. Cardiovascular interventions Jun 26, 2019
OBJECTIVES: This study sought to determine whether machine learning can be used to better identify patients at risk for death or congestive heart failure (CHF) rehospitalization after percutaneous coronary intervention (PCI).
Patient Readmission Minnesota Middle Aged Risk Assessment Time Factors Hospital Mortality Treatment Outcome Predictive Value of Tests Registries Percutaneous Coronary Intervention Coronary Artery Disease Heart Failure Female Reproducibility of Results Risk Factors Aged Male Humans Machine Learning Decision Support Techniques Clinical Decision-Making
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Machine Learning Prediction of Response to Cardiac Resynchronization Therapy: Improvement Versus Current Guidelines.

Circulation. Arrhythmia and electrophysiology Jun 20, 2019
BACKGROUND: Cardiac resynchronization therapy (CRT) has significant nonresponse rates. We assessed whether machine learning (ML) could predict CRT response beyond current guidelines.
Retrospective Studies Clinical Decision-Making Female Risk Factors Aged Humans Machine Learning Decision Support Techniques Risk Assessment Disease Progression Time Factors Recovery of Function Predictive Value of Tests Male Ventricular Function, Left Stroke Volume Echocardiography Middle Aged Heart-Assist Devices Patient Selection Heart Transplantation Heart Failure Ohio Cardiac Resynchronization Therapy Baltimore Progression-Free Survival Practice Guidelines as Topic
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Machine Learning to Predict Outcomes in Patients with Acute Gastrointestinal Bleeding: A Systematic Review.

Digestive diseases and sciences May 4, 2019
Risk stratification of patients with gastrointestinal bleeding (GIB) is recommended, but current risk assessment tools have variable performance. Machine learning (ML) has promise to improve risk assessment. We performed a systematic review to evalua...
Hemostatic Techniques Clinical Decision-Making Female Risk Factors Treatment Outcome Aged Humans Patient Selection Neural Networks, Computer Male Middle Aged Gastrointestinal Hemorrhage Machine Learning Risk Assessment Decision Support Techniques Time Factors
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Can machine learning predict resecability of a peritoneal carcinomatosis?

Surgical oncology May 4, 2019
BACKGROUND: Approximately 20% of initially eligible patients in a HIPEC procedure eventually underwent a simple surgical exploration. These procedures are called 'open & close' (O & C) representing up to 48% of surgery. The objective of this study wa...
Humans Machine Learning Decision Support Techniques Prospective Studies Prognosis Female Aged Young Adult Adult Male Cytoreduction Surgical Procedures Middle Aged ROC Curve Follow-Up Studies Laparoscopy Peritoneal Neoplasms
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Accuracy of American College of Surgeons National Surgical Quality Improvement Program Universal Surgical Risk Calculator in Predicting Complications Following Robot-Assisted Radical Cystectomy at a National Comprehensive Cancer Center.

Journal of endourology Apr 22, 2019
There is paucity of literature about the validation of the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) surgical risk calculator for prediction of outcomes after robot-assisted radical cystectomy (RARC). We ...
United States Robotics Area Under Curve Quality Improvement Cystectomy Sensitivity and Specificity Male Risk Assessment Postoperative Complications ROC Curve Decision Support Techniques Retrospective Studies Female Aged Aged, 80 and over Humans
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New Multiparametric Analysis of Cardiac Dyssynchrony: Machine Learning and Prediction of Response to CRT.

JACC. Cardiovascular imaging Apr 17, 2019
Echocardiography Electrocardiography Treatment Outcome Predictive Value of Tests Signal Processing, Computer-Assisted Heart Failure Cardiac Resynchronization Therapy Ventricular Dysfunction, Left Image Interpretation, Computer-Assisted Humans Machine Learning Decision Support Techniques Retrospective Studies Clinical Decision-Making Ventricular Function, Left
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Dynamic multi-outcome prediction after injury: Applying adaptive machine learning for precision medicine in trauma.

PloS one Apr 10, 2019
OBJECTIVE: Machine learning techniques have demonstrated superior discrimination compared to conventional statistical approaches in predicting trauma death. The objective of this study is to evaluate whether machine learning algorithms can be used to...
Risk Assessment Clinical Decision-Making Time Factors Female ROC Curve Humans Adult Multiple Organ Failure Blood Transfusion Machine Learning Respiratory Distress Syndrome Models, Biological Decision Support Techniques Male Venous Thromboembolism Prospective Studies Middle Aged Wounds and Injuries Prognosis
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