AIMC Topic: Humans

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Machine learning for the prediction of volume responsiveness in patients with oliguric acute kidney injury in critical care.

Critical care (London, England) Apr 8, 2019
BACKGROUND AND OBJECTIVES: Excess fluid balance in acute kidney injury (AKI) may be harmful, and conversely, some patients may respond to fluid challenges. This study aimed to develop a prediction model that can be used to differentiate between volum...
Logistic Models Fluid Therapy Critical Care Oliguria Male Middle Aged Time Factors Female Aged Aged, 80 and over Acute Kidney Injury Intensive Care Units Humans Machine Learning
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Stochastic frontier analysis as knowledge-based model to improve sparing of organs-at-risk for VMAT-treated prostate cancer.

Physics in medicine and biology Apr 8, 2019
Stochastic frontier analysis (SFA) is used as a novel knowledge-based technique in order to develop a predictive model of dosimetric features from significant geometric parameters describing a patient morphology. 406 patients treated with VMAT for pr...
Radiotherapy Dosage Radiotherapy, Intensity-Modulated Stochastic Processes Knowledge Bases Organs at Risk Radiotherapy Planning, Computer-Assisted Radiometry Humans Male Prostatic Neoplasms
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Musculoskeletal design, control, and application of human mimetic humanoid Kenshiro.

Bioinspiration & biomimetics Apr 8, 2019
We have been developing a human mimetic musculoskeletal humanoid called Kenshiro, whose design concept is to thoroughly pursue an unprecedented anatomical fidelity to the human musculoskeletal structure. We believe that research on human mimetic musc...
Robotics Motion Humans Biomimetics Software Musculoskeletal System
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Improving Outcomes Defending Patient Safety: The Learning Journey in Robotic Liver Resections.

BioMed research international Apr 8, 2019
BACKGROUND: While laparoscopy is currently adopted for hepatic resections, robotic approaches to the liver have not gained wide acceptance. We decided to analyze the learning curve in the field of robotic liver surgery comparing short-term outcomes b...
Robotic Surgical Procedures Hepatectomy Learning Curve Operative Time Middle Aged Robotics Postoperative Complications Laparoscopy Length of Stay Female Liver Neoplasms Humans Male Blood Loss, Surgical Patient Safety Surgeons Liver Retrospective Studies
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Developing neural network models for early detection of cardiac arrest in emergency department.

The American journal of emergency medicine Apr 7, 2019
BACKGROUND: Automated surveillance for cardiac arrests would be useful in overcrowded emergency departments. The purpose of this study is to develop and test artificial neural network (ANN) classifiers for early detection of patients at risk of cardi...
Humans Neural Networks, Computer Retrospective Studies Emergency Service, Hospital Electronic Health Records ROC Curve Early Diagnosis Logistic Models Female Heart Arrest Adult Predictive Value of Tests Aged Male Middle Aged
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Document-level attention-based BiLSTM-CRF incorporating disease dictionary for disease named entity recognition.

Computers in biology and medicine Apr 7, 2019
BACKGROUND: Disease named entity recognition (NER) plays an important role in biomedical research. There are a significant number of challenging issues to be addressed; among these, the identification of rare diseases and complex disease names and th...
Data Mining Terminology as Topic Disease Humans Language Deep Learning
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A Deep-Learning Model for Subject-Independent Human Emotion Recognition Using Electrodermal Activity Sensors.

Sensors (Basel, Switzerland) Apr 7, 2019
One of the main objectives of Active and Assisted Living (AAL) environments is to ensure that elderly and/or disabled people perform/live well in their immediate environments; this can be monitored by among others the recognition of emotions based on...
Biosensing Techniques Emotions Machine Learning Algorithms Deep Learning Humans Neural Networks, Computer
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Using machine-learning methods to support health-care professionals in making admission decisions.

The International journal of health planning and management Apr 7, 2019
BACKGROUND: Large tertiary hospitals usually face long waiting lines; patients who want to receive hospitalization need to be screened in advance. The patient admission screening process involves a health-care professional ranking patients by analyzi...
Humans Patient Admission Machine Learning Decision Support Systems, Clinical Logistic Models
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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 Pattern Recognition, Automated Knowledge Bases Retrospective Studies False Positive Reactions Critical Care Intensive Care Units Clinical Alarms Expert Systems Monitoring, Physiologic
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Intensive Care Unit Telemedicine in the Era of Big Data, Artificial Intelligence, and Computer Clinical Decision Support Systems.

Critical care clinics Apr 6, 2019
This article examines the history of the telemedicine intensive care unit (tele-ICU), the current state of clinical decision support systems (CDSS) in the tele-ICU, applications of machine learning (ML) algorithms to critical care, and opportunities ...
Big Data Humans Decision Support Systems, Clinical Artificial Intelligence Telemedicine Intensive Care Units
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