AIMC Topic: Machine Learning

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Discovering and identifying New York heart association classification from electronic health records.

BMC medical informatics and decision making Jul 23, 2018
BACKGROUND: Cardiac Resynchronization Therapy (CRT) is an established pacing therapy for heart failure patients. The New York Heart Association (NYHA) class is often used as a measure of a patient's response to CRT. Identifying NYHA class for heart f...
Humans Heart Failure Male Machine Learning Cardiac Resynchronization Therapy Middle Aged Electronic Health Records New York Female Disease Progression Aged Treatment Outcome Natural Language Processing
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Towards improving diagnosis of skin diseases by combining deep neural network and human knowledge.

BMC medical informatics and decision making Jul 23, 2018
BACKGROUND: The emergence of the deep convolutional neural network (CNN) greatly improves the quality of computer-aided supporting systems. However, due to the challenges of generating reliable and timely results, clinical adoption of computer-aided ...
Humans Diagnosis, Computer-Assisted Deep Learning Neural Networks, Computer Skin Diseases Machine Learning Quality Improvement Algorithms
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Using natural language processing methods to classify use status of dietary supplements in clinical notes.

BMC medical informatics and decision making Jul 23, 2018
BACKGROUND: Despite widespread use, the safety of dietary supplements is open to doubt due to the fact that they can interact with prescribed medications, leading to dangerous clinical outcomes. Electronic health records (EHRs) provide a potential wa...
Dietary Supplements Humans Machine Learning Natural Language Processing Electronic Health Records Documentation
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Shoulder physiotherapy exercise recognition: machine learning the inertial signals from a smartwatch.

Physiological measurement Jul 23, 2018
OBJECTIVE: Participation in a physical therapy program is considered one of the greatest predictors of successful conservative management of common shoulder disorders. However, adherence to these protocols is often poor and typically worse for unsupe...
Male Middle Aged Support Vector Machine Monitoring, Physiologic Female Neural Networks, Computer Young Adult Adult Machine Learning Humans Signal Processing, Computer-Assisted Healthy Volunteers Patient Compliance Shoulder Exercise Therapy Physical Therapy Modalities Computers, Handheld
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RDE: A novel approach to improve the classification performance and expressivity of KDB.

PloS one Jul 23, 2018
Bayesian network classifiers (BNCs) have demonstrated competitive classification performance in a variety of real-world applications. A highly scalable BNC with high expressivity is extremely desirable. This paper proposes Redundant Dependence Elimin...
Bayes Theorem Data Mining Classification Machine Learning Software Bias
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Machine learning approaches infer vitamin D signaling: Critical impact of vitamin D receptor binding within topologically associated domains.

The Journal of steroid biochemistry and molecular biology Jul 22, 2018
The vitamin D-modulated transcriptome of highly responsive human cells, such as THP-1 monocytes, comprises more than 500 genes, half of which are primary targets. Recently, we proposed a chromatin model of vitamin D signaling demonstrating that nearl...
Humans Machine Learning Algorithms Signal Transduction Vitamin D Protein Binding RNA, Messenger High-Throughput Nucleotide Sequencing Receptors, Calcitriol Chromatin Gene Expression Regulation Cell Line THP-1 Cells CCCTC-Binding Factor
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Ensemble Learning Approach via Kalman Filtering for a Passive Wearable Respiratory Monitor.

IEEE journal of biomedical and health informatics Jul 20, 2018
OBJECTIVE: Utilizing passive radio frequency identification (RFID) tags embedded in knitted smart-garment devices, we wirelessly detect the respiratory state of a subject using an ensemble-based learning approach over an augmented Kalman-filtered tim...
Respiratory Rate Radio Frequency Identification Device Humans Machine Learning Monitoring, Physiologic Algorithms Signal Processing, Computer-Assisted Infant Wearable Electronic Devices
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A Prediction Model Using Machine Learning Algorithm for Assessing Stone-Free Status after Single Session Shock Wave Lithotripsy to Treat Ureteral Stones.

The Journal of urology Jul 20, 2018
PURPOSE: The aim of this study was to develop and validate a decision support model using a machine learning algorithm to predict treatment success after single session shock wave lithotripsy in ureteral stone cases.
Lithotripsy Middle Aged Treatment Outcome Ureteral Calculi Computer Simulation Prognosis Retrospective Studies Adult Male Tomography, X-Ray Computed Female Machine Learning Algorithms Decision Support Techniques Humans
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Postoperative bleeding risk prediction for patients undergoing colorectal surgery.

Surgery Jul 20, 2018
BACKGROUND: There is limited consensus regarding risk factors for postoperative bleeding. The objective of this work was to investigate the capability of machine learning techniques in combination with practice-based longitudinal electronic medical r...
Humans Machine Learning Retrospective Studies Adult Male Middle Aged Risk Assessment Electronic Health Records Female Aged Postoperative Hemorrhage Colorectal Surgery
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RNA-seq assistant: machine learning based methods to identify more transcriptional regulated genes.

BMC genomics Jul 20, 2018
BACKGROUND: Although different quality controls have been applied at different stages of the sample preparation and data analysis to ensure both reproducibility and reliability of RNA-seq results, there are still limitations and bias on the detectabi...
Epigenesis, Genetic Transcription, Genetic Arabidopsis Histone Code Machine Learning Gene Expression Profiling Sequence Analysis, RNA Humans
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