AIMC Topic: Prognosis

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Examining the Ability of Artificial Neural Networks Machine Learning Models to Accurately Predict Complications Following Posterior Lumbar Spine Fusion.

Spine Jun 15, 2018
STUDY DESIGN: A cross-sectional database study.
Neural Networks, Computer Machine Learning Databases, Factual Prognosis Humans Middle Aged Postoperative Complications Spinal Fusion Lumbar Vertebrae Female Cross-Sectional Studies Male
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[Advances in the research of application of artificial intelligence in burn field].

Zhonghua shao shang za zhi = Zhonghua shaoshang zazhi = Chinese journal of burns Apr 20, 2018
Artificial intelligence has been able to automatically learn and judge large-scale data to some extent. Based on database of a large amount of burn data and in-depth learning, artificial intelligence can assist burn surgeons to evaluate burn surface,...
Prognosis Burns Shock Humans Artificial Intelligence
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[Application of support vector machine in predicting in-hospital mortality risk of patients with acute kidney injury in ICU].

Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences Apr 18, 2018
OBJECTIVE: To construct an in-hospital mortality prediction model for patients with acute kidney injury (AKI) in intensive care unit (ICU) by using support vector machine (SVM), and compare it with the simplified acute physiology score II (SAPS-II) w...
Support Vector Machine Humans Critical Care Prognosis Acute Kidney Injury Hospital Mortality ROC Curve Intensive Care Units Sensitivity and Specificity
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Identification of topological features in renal tumor microenvironment associated with patient survival.

Bioinformatics (Oxford, England) Mar 15, 2018
MOTIVATION: As a highly heterogeneous disease, the progression of tumor is not only achieved by unlimited growth of the tumor cells, but also supported, stimulated, and nurtured by the microenvironment around it. However, traditional qualitative and/...
Machine Learning Prognosis Female Aged Humans Male Middle Aged Image Processing, Computer-Assisted Kidney Neoplasms Aged, 80 and over Adult Tumor Microenvironment Carcinoma, Papillary
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Artificial Intelligence and Chest Imaging. Will Deep Learning Make Us Smarter?

American journal of respiratory and critical care medicine Jan 15, 2018
Prognosis Artificial Intelligence Smokers Tomography, X-Ray Computed Deep Learning
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Disease Staging and Prognosis in Smokers Using Deep Learning in Chest Computed Tomography.

American journal of respiratory and critical care medicine Jan 15, 2018
RATIONALE: Deep learning is a powerful tool that may allow for improved outcome prediction.
Smoking Respiratory Function Tests Middle Aged Risk Assessment Severity of Illness Index Survival Rate Pulmonary Disease, Chronic Obstructive Respiratory Distress Syndrome Male Databases, Factual Predictive Value of Tests Deep Learning Tomography, X-Ray Computed Prognosis Logistic Models Female Humans Aged
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A comparison of logistic regression and artificial neural networks in predicting central lymph node metastases in papillary thyroid microcarcinoma.

Annali italiani di chirurgia Jan 1, 2018
OBJECTIVE: Prophylactic central lymph node dissection(CLND) is a controversial issue in papillary thyroid microcarcinoma( PTMC) patients without lymphatic metastasis. Artificial neural network(ANN) has been proposed as an alternative statistical tech...
Tumor Burden Young Adult Logistic Models Female Thyroidectomy Middle Aged Humans Carcinoma, Papillary Adult Risk Factors Lymphatic Metastasis Thyroid Neoplasms Adolescent Neural Networks, Computer Neck Dissection Male Aged Neoplasm Invasiveness Prognosis
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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...
Germany Diagnosis-Related Groups Prognosis Hospitals Humans ROC Curve Machine Learning Patient Readmission Forecasting
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Big-Data Analysis, Cluster Analysis, and Machine-Learning Approaches.

Advances in experimental medicine and biology Jan 1, 2018
Medicine will experience many changes in the coming years because the so-called "medicine of the future" will be increasingly proactive, featuring four basic elements: predictive, personalized, preventive, and participatory. Drivers for these changes...
Big Data Cluster Analysis Heart Failure Cardiology Data Mining Terminology as Topic Machine Learning Databases, Factual Prognosis Humans
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On the Representation of Machine Learning Results for Delirium Prediction in a Hospital Information System in Routine Care.

Studies in health technology and informatics Jan 1, 2018
Digitalisation of health care for the purpose of medical documentation lead to huge amounts of data, hence having an opportunity to derive knowledge and associations of different attributes recorded. Many health care events can be prevented when iden...
Humans Delirium Documentation Hospital Information Systems Machine Learning Prognosis Hospitalization
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