AIMC Topic: Humans

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Utilizing dynamic treatment information for MACE prediction of acute coronary syndrome.

BMC medical informatics and decision making Jan 9, 2019
BACKGROUND: Main adverse cardiac events (MACE) are essentially composite endpoints for assessing safety and efficacy of treatment processes of acute coronary syndrome (ACS) patients. Timely prediction of MACE is highly valuable for improving the effe...
Models, Theoretical Acute Coronary Syndrome Male Middle Aged Deep Learning Hospitalization Prognosis Aged Electronic Health Records Female Humans Neural Networks, Computer
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Minimally Invasive Radical Hysterectomy Has Many Benefits Compared with Open Radical Hysterectomy: Will the LACC Trial Cause the Premature Demise of This Procedure?

Journal of minimally invasive gynecology Jan 9, 2019
United States Robotics Robotic Surgical Procedures Humans Female Uterine Cervical Neoplasms Hysterectomy
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Artificial intelligence to predict needs for urgent revascularization from 12-leads electrocardiography in emergency patients.

PloS one Jan 9, 2019
BACKGROUND: Patient with acute coronary syndrome benefits from early revascularization. However, methods for the selection of patients who require urgent revascularization from a variety of patients visiting the emergency room with chest symptoms is ...
Humans Neural Networks, Computer Prognosis Sensitivity and Specificity Patient Selection Chest Pain Acute Coronary Syndrome Datasets as Topic Diagnosis, Differential Myocardial Revascularization Diagnosis, Computer-Assisted Predictive Value of Tests Decision Making, Computer-Assisted Time Factors Emergency Service, Hospital Electrocardiography
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The influence of maternal agency on severe child undernutrition in conflict-ridden Nigeria: Modeling heterogeneous treatment effects with machine learning.

PloS one Jan 9, 2019
Nigeria is one of the fastest growing African economies, yet struggles with armed conflict, poverty, and morbidity. An area of high concern is how this situation affects vulnerable families and their children. A key pathway in improving the situation...
Child Bayes Theorem Mothers Child Nutrition Disorders Female Cross-Sectional Studies Nigeria Humans Machine Learning
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Segmenting accelerometer data from daily life with unsupervised machine learning.

PloS one Jan 9, 2019
PURPOSE: Accelerometers are increasingly used to obtain valuable descriptors of physical activity for health research. The cut-points approach to segment accelerometer data is widely used in physical activity research but requires resource expensive ...
Unsupervised Machine Learning Accelerometry Humans Exercise
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Using machine learning and an ensemble of methods to predict kidney transplant survival.

PloS one Jan 9, 2019
We used an ensemble of statistical methods to build a model that predicts kidney transplant survival and identifies important predictive variables. The proposed model achieved better performance, measured by Harrell's concordance index, than the Esti...
Machine Learning Kidney Transplantation Graft Survival Humans Models, Statistical Transplant Recipients Proportional Hazards Models
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Effective binding to protein antigens by antibodies from antibody libraries designed with enhanced protein recognition propensities.

mAbs Jan 9, 2019
Antibodies provide immune protection by recognizing antigens of diverse chemical properties, but elucidating the amino acid sequence-function relationships underlying the specificity and affinity of antibody-antigen interactions remains challenging. ...
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Humans Machine Learning Single-Chain Antibodies Protein Engineering Peptide Library Antibody Affinity Structure-Activity Relationship Antibody Specificity
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Alternative Diagnosis of Epilepsy in Children Without Epileptiform Discharges Using Deep Convolutional Neural Networks.

International journal of neural systems Jan 8, 2019
Numerous nonepileptic paroxysmal events, such as syncope and psychogenic nonepileptic seizures, may imitate seizures and impede diagnosis. Misdiagnosis can lead to mistreatment, affecting patients' lives considerably. Electroencephalography is common...
Pilot Projects Sensitivity and Specificity Humans Child Epilepsy Female Male Electroencephalography Syncope Deep Learning Tourette Syndrome
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Enabling single-site laparoscopy: the SPORT platform.

Surgical endoscopy Jan 8, 2019
BACKGROUND: The Single Port Orifice Robotic Technology (SPORT) Surgical System by Titan Medical Inc. is designed to overcome the inherent challenges of minimally invasive single-access procedures. The aim of this preclinical study was to evaluate the...
Humans Animals Male Equipment Design Cadaver Disease Models, Animal Surgeons Ergonomics Robotics Cholecystectomy Swine Laparoscopy Fundoplication
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A study on quality assessment of the surface EEG signal based on fuzzy comprehensive evaluation method.

Computer assisted surgery (Abingdon, England) Jan 8, 2019
Surface EEG (Electroencephalography) signal is vulnerable to interference due to its characteristics and sampling methods. So it is of great importance to evaluate the collected EEG signal prior to use. Traditional methods usually use the impedance b...
Signal Processing, Computer-Assisted Models, Theoretical Fuzzy Logic Electroencephalography Humans
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