AIMC Topic: Models, Statistical

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Using Natural Language Processing on Electronic Health Records to Enhance Detection and Prediction of Psychosis Risk.

Schizophrenia bulletin Mar 16, 2021
BACKGROUND: Using novel data mining methods such as natural language processing (NLP) on electronic health records (EHRs) for screening and detecting individuals at risk for psychosis.
Electronic Health Records Female Young Adult Adult Humans Retrospective Studies Follow-Up Studies Models, Statistical Natural Language Processing Psychotic Disorders London Male Middle Aged Risk Assessment Adolescent
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Early Prediction of Gestational Diabetes Mellitus in the Chinese Population via Advanced Machine Learning.

The Journal of clinical endocrinology and metabolism Mar 8, 2021
CONTEXT: Accurate methods for early gestational diabetes mellitus (GDM) (during the first trimester of pregnancy) prediction in Chinese and other populations are lacking.
Diabetes, Gestational Early Diagnosis Pregnancy Female Risk Factors China Adult Humans Socioeconomic Factors Machine Learning Body Mass Index Algorithms Models, Statistical Prognosis
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COVID-19 mortality rate prediction for India using statistical neural networks and gaussian process regression model.

African health sciences Mar 1, 2021
The primary purpose of this research is to identify the best COVID-19 mortality model for India using regression models and is to estimate the future COVID-19 mortality rate for India. Specifically, Statistical Neural Networks (Radial Basis Function ...
COVID-19 Forecasting SARS-CoV-2 India Humans Neural Networks, Computer Pandemics Models, Statistical Regression Analysis Models, Biological Mortality
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Artificial intelligence and complex statistical modeling in glaucoma diagnosis and management.

Current opinion in ophthalmology Mar 1, 2021
PURPOSE OF REVIEW: The field of artificial intelligence has grown exponentially in recent years with new technology, methods, and applications emerging at a rapid rate. Many of these advancements have been used to improve the diagnosis and management...
Humans Glaucoma Artificial Intelligence Machine Learning Algorithms Models, Statistical Tomography, Optical Coherence Diagnostic Techniques, Ophthalmological Photography
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Development of Machine Learning Models for Predicting Postoperative Delayed Remission in Patients With Cushing's Disease.

The Journal of clinical endocrinology and metabolism Jan 1, 2021
CONTEXT: Postoperative hypercortisolemia mandates further therapy in patients with Cushing's disease (CD). Delayed remission (DR) is defined as not achieving postoperative immediate remission (IR), but having spontaneous remission during long-term fo...
ACTH-Secreting Pituitary Adenoma Treatment Outcome Follow-Up Studies Models, Statistical Adenoma Neurosurgical Procedures Remission Induction Postoperative Period Pituitary ACTH Hypersecretion Male Humans Middle Aged Female China Computer Simulation Machine Learning Reproducibility of Results Time Factors Prognosis Algorithms Young Adult Retrospective Studies Adult
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Confronting pitfalls of AI-augmented molecular dynamics using statistical physics.

The Journal of chemical physics Dec 21, 2020
Artificial intelligence (AI)-based approaches have had indubitable impact across the sciences through the ability to extract relevant information from raw data. Recently, AI has also found use in enhancing the efficiency of molecular simulations, whe...
Molecular Dynamics Simulation Artificial Intelligence Ligands Protein Conformation Peptides Entropy Models, Statistical Proteins
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Adversarial attack on deep learning-based dermatoscopic image recognition systems: Risk of misdiagnosis due to undetectable image perturbations.

Medicine Dec 11, 2020
Deep learning algorithms have shown excellent performances in the field of medical image recognition, and practical applications have been made in several medical domains. Little is known about the feasibility and impact of an undetectable adversaria...
Humans Datasets as Topic Models, Statistical Risk Factors Neural Networks, Computer Skin Sensitivity and Specificity Algorithms Skin Diseases Diagnostic Errors Image Interpretation, Computer-Assisted Deep Learning Reproducibility of Results
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An approach to predicting patient experience through machine learning and social network analysis.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
OBJECTIVE: Improving the patient experience has become an essential component of any healthcare system's performance metrics portfolio. In this study, we developed a machine learning model to predict a patient's response to the Hospital Consumer Asse...
ROC Curve Logistic Models Models, Statistical Decision Trees Physician-Patient Relations Electronic Health Records Humans Patient Satisfaction Female Machine Learning Male Patient Outcome Assessment Surveys and Questionnaires Social Network Analysis
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Probabilistic forecasting of surgical case duration using machine learning: model development and validation.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
OBJECTIVE: Accurate estimations of surgical case durations can lead to the cost-effective utilization of operating rooms. We developed a novel machine learning approach, using both structured and unstructured features as input, to predict a continuou...
Datasets as Topic Surgical Procedures, Operative Operating Rooms Reproducibility of Results Humans Operative Time Neural Networks, Computer Models, Statistical Machine Learning Natural Language Processing Forecasting
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Retrospective analysis of the accuracy of predicting the alert level of COVID-19 in 202 countries using Google Trends and machine learning.

Journal of global health Dec 1, 2020
BACKGROUND: Internet search engine data, such as Google Trends, was shown to be correlated with the incidence of COVID-19, but only in several countries. We aim to develop a model from a small number of countries to predict the epidemic alert level i...
Betacoronavirus Pneumonia, Viral Humans Machine Learning Pandemics COVID-19 Coronavirus Infections Retrospective Studies Incidence Data Accuracy SARS-CoV-2 Models, Statistical Search Engine Global Health
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