AIMC Topic: Recurrence

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Prediction of Recurrence after Transsphenoidal Surgery for Cushing's Disease: The Use of Machine Learning Algorithms.

Neuroendocrinology Jan 10, 2019
BACKGROUND: There are no reliable predictive models for recurrence after transsphenoidal surgery (TSS) for Cushing's disease (CD).
Humans Machine Learning Algorithms Retrospective Studies Male Models, Statistical Data Mining Recurrence Pituitary ACTH Hypersecretion Female Risk Factors Young Adult Adult
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Machine learning for predicting psychotic relapse at 2 years in schizophrenia in the national FACE-SZ cohort.

Progress in neuro-psychopharmacology & biological psychiatry Dec 12, 2018
BACKGROUND: Predicting psychotic relapse is one of the major challenges in the daily care of schizophrenia.
Aggression Schizophrenia Psychotic Disorders Recurrence Prognosis Schizophrenic Psychology Female Adult Sensitivity and Specificity Male Diagnosis, Computer-Assisted Psychiatric Status Rating Scales Cohort Studies Follow-Up Studies Humans Machine Learning
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Predictors of atrial fibrillation early recurrence following cryoballoon ablation of pulmonary veins using statistical assessment and machine learning algorithms.

Heart and vessels Aug 23, 2018
Inflammation, oxidative stress, myocardial injury biomarkers and clinical parameters (longer AF duration, left atrial enlargement, the metabolic syndrome) are factors commonly related to AF recurrence. This study aims to assess the predictive value o...
Electrocardiography, Ambulatory Heart Conduction System Atrial Fibrillation Recurrence Humans Machine Learning Pulmonary Veins Algorithms Male Prognosis Cryosurgery Middle Aged Retrospective Studies Time Factors Female Follow-Up Studies
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Use of machine learning to predict early biochemical recurrence after robot-assisted prostatectomy.

BJU international Aug 5, 2018
OBJECTIVES: To train and compare machine-learning algorithms with traditional regression analysis for the prediction of early biochemical recurrence after robot-assisted prostatectomy.
Prognosis Aged Male Middle Aged Regression Analysis Humans Machine Learning Forecasting Proportional Hazards Models Area Under Curve Prostatectomy Prostatic Neoplasms Recurrence Prostate-Specific Antigen Robotic Surgical Procedures
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A review of statistical and machine learning methods for modeling cancer risk using structured clinical data.

Artificial intelligence in medicine Jul 14, 2018
Advancements are constantly being made in oncology, improving prevention and treatment of cancers. To help reduce the impact and deadliness of cancers, they must be detected early. Additionally, there is a risk of cancers recurring after potentially ...
Neoplasm Staging Data Mining Recurrence Diagnosis, Computer-Assisted Nomograms Early Detection of Cancer Decision Trees Data Interpretation, Statistical Clinical Decision-Making Risk Factors Risk Assessment Neoplasms Humans Machine Learning Decision Support Techniques Electronic Health Records
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Modeling asynchronous event sequences with RNNs.

Journal of biomedical informatics Jun 5, 2018
Sequences of events have often been modeled with computational techniques, but typical preprocessing steps and problem settings do not explicitly address the ramifications of timestamped events. Clinical data, such as is found in electronic health re...
Asthma Infant Child, Preschool Child Recurrence Humans Neural Networks, Computer Computer Simulation Intensive Care Units Electronic Health Records
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Pattern analysis of computer keystroke time series in healthy control and early-stage Parkinson's disease subjects using fuzzy recurrence and scalable recurrence network features.

Journal of neuroscience methods May 30, 2018
BACKGROUND: Identifying patients with early stages of Parkinson's disease (PD) in a home environment is an important area of neurological disorder research, because it is of therapeutic and economic benefits to optimal intervention and management of ...
Humans Neural Networks, Computer Machine Learning Female Male Cohort Studies Fuzzy Logic Parkinson Disease Predictive Value of Tests Nonlinear Dynamics Recurrence Gait Disorders, Neurologic
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Salvage HDR Brachytherapy: Multiple Hypothesis Testing Versus Machine Learning Analysis.

International journal of radiation oncology, biology, physics Mar 13, 2018
PURPOSE: Salvage high-dose-rate brachytherapy (sHDRB) is a treatment option for recurrences after prior radiation therapy. However, only approximately 50% of patients benefit, with the majority of second recurrences after salvage brachytherapy occurr...
Prostatic Neoplasms Recurrence Linear Models Salvage Therapy Humans Brachytherapy Machine Learning Treatment Failure Retrospective Studies Male
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Randomized controlled trial of Amigo® robotically controlled versus manually controlled ablation of the cavo-tricuspid isthmus using a contact force ablation catheter.

Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing Feb 12, 2018
BACKGROUND: Radiofrequency catheter ablation (RFCA) of the cavo-tricuspid isthmus (CTI) is a common treatment for atrial flutter (AFL). However, achieving bi-directional CTI conduction block may be difficult, partly due to catheter instability.
Cardiac Catheters Atrial Flutter Catheter Ablation Recurrence Severity of Illness Index Statistics, Nonparametric Treatment Outcome Tricuspid Valve Follow-Up Studies Survival Rate Robotics Male Equipment Design Humans Middle Aged Surgery, Computer-Assisted Prospective Studies Patient Selection Risk Assessment Female Heart Conduction System Aged Reference Values
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Multicenter review of robotic versus laparoscopic ventral hernia repair: is there a role for robotics?

Surgical endoscopy Feb 6, 2018
BACKGROUND: The utilization of robotic platforms for general surgery procedures such as hernia repair is growing rapidly in the United States. A limited amount of data are available evaluating operative outcomes in comparison to standard laparoscopic...
Humans Retrospective Studies Female Laparoscopy Recurrence Surgical Mesh Male Herniorrhaphy Middle Aged Hernia, Ventral Treatment Outcome Robotics
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