AIMC Topic: Models, Statistical

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Endoscopic diagnosis and treatment planning for colorectal polyps using a deep-learning model.

Scientific reports Jan 8, 2020
We aimed to develop a computer-aided diagnostic system (CAD) for predicting colorectal polyp histology using deep-learning technology and to validate its performance. Near-focus narrow-band imaging (NBI) pictures of colorectal polyps were retrieved f...
Adenoma Endoscopy, Gastrointestinal Colonic Polyps Deep Learning Models, Statistical Narrow Band Imaging Humans Artificial Intelligence Retrospective Studies Colonoscopy Diagnosis, Computer-Assisted
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R/PY-SUMMA: An R/Python Package for Unsupervised Ensemble Learning for Binary Classification Problems in Bioinformatics.

Journal of computational biology : a journal of computational molecular cell biology Jan 3, 2020
The increasing availability of complex data in biology and medicine has promoted the use of machine learning in classification tasks to address important problems in translational and fundamental science. Two important obstacles, however, may limit t...
Computational Biology Models, Statistical Unsupervised Machine Learning Algorithms Gene Regulatory Networks
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Using machine learning to model problematic smartphone use severity: The significant role of fear of missing out.

Addictive behaviors Dec 28, 2019
We examined a model of psychopathology variables, age and sex as correlates of problematic smartphone use (PSU) severity using supervised machine learning in a sample of Chinese undergraduate students. A sample of 1097 participants completed measures...
Internet Addiction Disorder Models, Statistical Supervised Machine Learning Male Humans Students Female China Young Adult
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Unsupervised machine learning for the discovery of latent disease clusters and patient subgroups using electronic health records.

Journal of biomedical informatics Dec 28, 2019
Machine learning has become ubiquitous and a key technology on mining electronic health records (EHRs) for facilitating clinical research and practice. Unsupervised machine learning, as opposed to supervised learning, has shown promise in identifying...
Electronic Health Records Models, Statistical Unsupervised Machine Learning Disease Hotspot Humans Machine Learning
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Long Short-Term Memory Recurrent Neural Networks for Multiple Diseases Risk Prediction by Leveraging Longitudinal Medical Records.

IEEE journal of biomedical and health informatics Dec 25, 2019
Individuals suffer from chronic diseases without being identified in time, which brings lots of burden of disease to the society. This paper presents a multiple disease risk prediction method to systematically assess future disease risks for patients...
Humans Models, Statistical Disease Susceptibility Neural Networks, Computer Electronic Health Records Databases, Factual Risk Assessment Diagnosis, Computer-Assisted
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On Clinical Event Prediction in Patient Treatment Trajectory Using Longitudinal Electronic Health Records.

IEEE journal of biomedical and health informatics Dec 24, 2019
Healthcare process leaves patient treatment trajectory (PTT), described as a sequence of interdependent clinical events affiliated with a large volume of longitudinal therapy and treatment information. Predicting the future clinical event in PTT, as ...
Diagnosis Medical Informatics Applications Models, Statistical Heart Failure Humans Neural Networks, Computer Electronic Health Records Treatment Outcome
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Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis.

Accident; analysis and prevention Dec 20, 2019
Detecting traffic accidents as rapidly as possible is essential for traffic safety. In this study, we use eXtreme Gradient Boosting (XGBoost)-a Machine Learning (ML) technique-to detect the occurrence of accidents using a set of real time data compri...
Built Environment Chicago Machine Learning Models, Statistical Accidents, Traffic Weather Spatial Analysis Humans
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Efficient identification of novel anti-glioma lead compounds by machine learning models.

European journal of medicinal chemistry Dec 19, 2019
Glioblastoma multiforme (GBM) is the most devastating and widespread primary central nervous system tumor. Pharmacological treatment of this malignance is limited by the selective permeability of the blood-brain barrier (BBB) and relies on a single d...
Xenograft Model Antitumor Assays Antineoplastic Agents Mice, Inbred C57BL Female Cell Proliferation Mice Humans Tumor Cells, Cultured Animals Models, Statistical Glioma Machine Learning Nitrofurans Male Apoptosis
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Incorporating medical code descriptions for diagnosis prediction in healthcare.

BMC medical informatics and decision making Dec 19, 2019
BACKGROUND: Diagnosis aims to predict the future health status of patients according to their historical electronic health records (EHR), which is an important yet challenging task in healthcare informatics. Existing diagnosis prediction approaches m...
Humans Neural Networks, Computer Forecasting Models, Statistical Heart Failure Datasets as Topic Prognosis Electronic Health Records Deep Learning Clinical Coding Medical Informatics Computing
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Should Health Care Demand Interpretable Artificial Intelligence or Accept "Black Box" Medicine?

Annals of internal medicine Dec 17, 2019
Models, Statistical Humans Artificial Intelligence Delivery of Health Care
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