AIMC Topic: Forecasting

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Machine Learning Models for Prediction of Reinjury After Penetrating Trauma.

JAMA surgery Feb 1, 2018
This study compares several machine learning models for prediction of reinjury after penetrating trauma.
Recurrence Wounds, Penetrating Databases, Factual Suicide Machine Learning United States Forecasting Mental Disorders Humans Models, Theoretical Patient Readmission Self-Injurious Behavior
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Predicting Surgical Complications in Patients Undergoing Elective Adult Spinal Deformity Procedures Using Machine Learning.

Spine deformity Jan 1, 2018
STUDY DESIGN: Cross-sectional database study.
Machine Learning Forecasting Female Postoperative Complications Cross-Sectional Studies Humans Heart Diseases Male Middle Aged Venous Thromboembolism Spinal Curvatures
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Utilising Information of the Case Fee Catalogue to Enhance 30-Day Readmission Prediction in the German DRG System.

Studies in health technology and informatics Jan 1, 2018
Unplanned hospital readmissions are a burden to the healthcare system and to the patients. To lower the readmission rates, machine learning approaches can be used to create predictive models, with the intention to provide actionable information for c...
Patient Readmission Prognosis Humans Germany Hospitals Machine Learning Diagnosis-Related Groups ROC Curve Forecasting
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Computer-Aided Orthopaedic Surgery: State-of-the-Art and Future Perspectives.

Advances in experimental medicine and biology Jan 1, 2018
Introduced more than two decades ago, computer-aided orthopaedic surgery (CAOS) has emerged as a new and independent area, due to the importance of treatment of musculoskeletal diseases in orthopaedics and traumatology, increasing availability of dif...
Orthopedic Procedures Orthopedics Robotics Surgery, Computer-Assisted Musculoskeletal Diseases Humans Artificial Intelligence Forecasting
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Prediction of Readmissions in the German DRG System Based on §21 Datasets.

Studies in health technology and informatics Jan 1, 2018
Hospital readmissions receive increasing interest, since they are burdensome for patients and costly for healthcare providers. For the calculation of reimbursement fees, in Germany there is the German-Diagnosis Related Groups (G-DRG) system. For ever...
Humans Patient Readmission Germany Machine Learning Diagnosis-Related Groups Forecasting Length of Stay
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Applying Deep Learning to Understand Predictors of Tooth Mobility Among Urban Latinos.

Studies in health technology and informatics Jan 1, 2018
We applied deep learning algorithms to build correlate models that predict tooth mobility in a convenience sample of urban Latinos. Our application of deep learning identified age, general health, soda consumption, flossing, financial stress, and yea...
Hispanic or Latino Health Behavior Tooth Mobility Forecasting Humans Urban Population Machine Learning Self Report Algorithms
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[Machine Learning-based Prediction of Seizure-inducing Action as an Adverse Drug Effect].

Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan Jan 1, 2018
　During the preclinical research period of drug development, animal testing is widely used to help screen out a drug's dangerous side effects. However, it remains difficult to predict side effects within the central nervous system. Here, we introduce...
Humans Machine Learning Forecasting Diphenhydramine Seizures Strychnine Animals Theophylline Drug Evaluation, Preclinical Drug Discovery Enoxacin Drug-Related Side Effects and Adverse Reactions Mice
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Predicting Depression Among Community Residing Older Adults: A Use of Machine Learning Approch.

Studies in health technology and informatics Jan 1, 2018
The study demonstrated an application of machine learning techniques in building a depression prediction model. We used the NSHAP II data (3,377 subjects and 261 variables) and built the models using a logistic regression with and without L1 regulari...
Logistic Models Models, Theoretical Forecasting Aged Depression Machine Learning Algorithms Humans
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Predicting Risk of 30-Day Readmissions Using Two Emerging Machine Learning Methods.

Studies in health technology and informatics Jan 1, 2018
Decades-long research efforts have shown that Heart Failure (HF) is the most expensive diagnosis for hospitalizations and the most frequent diagnosis for 30-day readmissions. If risk stratification for readmission of HF patients could be carried out ...
Heart Failure Patient Readmission Machine Learning Forecasting Hospitalization Risk Assessment United States Patient Discharge Humans
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Objective Prediction of Hearing Aid Benefit Across Listener Groups Using Machine Learning: Speech Recognition Performance With Binaural Noise-Reduction Algorithms.

Trends in hearing Jan 1, 2018
The simulation framework for auditory discrimination experiments (FADE) was adopted and validated to predict the individual speech-in-noise recognition performance of listeners with normal and impaired hearing with and without a given hearing-aid alg...
Machine Learning Forecasting Female Humans Male Middle Aged Speech Hearing Aids Aged Young Adult Adult Speech Perception Auditory Threshold
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