AIMC Topic: Logistic Models

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Predicting Antibiotic Resistance in Hospitalized Patients by Applying Machine Learning to Electronic Medical Records.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America Jun 1, 2021
BACKGROUND: Computerized decision support systems are becoming increasingly prevalent with advances in data collection and machine learning (ML) algorithms. However, they are scarcely used for empiric antibiotic therapy. Here, we predict the antibiot...
Machine Learning Electronic Health Records ROC Curve Logistic Models Drug Resistance, Microbial Humans
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Predicting in-hospital mortality in ICU patients with sepsis using gradient boosting decision tree.

Medicine May 14, 2021
Sepsis is a leading cause of mortality in the intensive care unit. Early prediction of sepsis can reduce the overall mortality rate and cost of sepsis treatment. Some studies have predicted mortality and development of sepsis using machine learning m...
Decision Trees Clinical Decision Rules Hospital Mortality ROC Curve Logistic Models Female Adult Humans Support Vector Machine Aged Male Machine Learning Aged, 80 and over Middle Aged Algorithms Young Adult Sepsis Intensive Care Units Adolescent
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Predicting Falls Among Community-Dwelling Older Adults: A Demonstration of Applied Machine Learning.

Computers, informatics, nursing : CIN May 1, 2021
Data science skills are increasingly needed by informatics nurses and nurse scientists, but techniques such as machine learning can be daunting for those with clinical, rather than computer science or technical, backgrounds. With the increasing quant...
Humans Machine Learning Algorithms Aged Accidental Falls Logistic Models Independent Living
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Natural Language Processing to Identify Cancer Treatments With Electronic Medical Records.

JCO clinical cancer informatics Apr 1, 2021
PURPOSE: Knowing the treatments administered to patients with cancer is important for treatment planning and correlating treatment patterns with outcomes for personalized medicine study. However, existing methods to identify treatments are often lack...
Humans Machine Learning Electronic Health Records Natural Language Processing Male Neoplasms Cohort Studies Logistic Models
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Predicting pressure injury using nursing assessment phenotypes and machine learning methods.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: Pressure injuries are common and serious complications for hospitalized patients. The pressure injury rate is an important patient safety metric and an indicator of the quality of nursing care. Timely and accurate prediction of pressure in...
Risk Factors Hospitalization Aged Aged, 80 and over Male Machine Learning Databases, Factual Electronic Health Records Female Pressure Ulcer Nursing Research Middle Aged Risk Assessment ROC Curve Logistic Models Humans
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Artificial intelligence in prediction of non-alcoholic fatty liver disease and fibrosis.

Journal of gastroenterology and hepatology Mar 1, 2021
Artificial intelligence (AI) has become increasingly widespread in our daily lives, including healthcare applications. AI has brought many new insights into better ways we care for our patients with chronic liver disease, including non-alcoholic fatt...
Electronic Health Records Logistic Models Liver Cirrhosis Liver Decision Trees Humans Diagnostic Imaging Neural Networks, Computer Biopsy Artificial Intelligence Non-alcoholic Fatty Liver Disease Forecasting
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Low Predictability of Readmissions and Death Using Machine Learning in Cirrhosis.

The American journal of gastroenterology Feb 1, 2021
INTRODUCTION: Readmission and death in cirrhosis are common, expensive, and difficult to predict. Our aim was to evaluate the abilities of multiple artificial intelligence (AI) techniques to predict clinical outcomes based on variables collected at a...
Humans Machine Learning Rifaximin Anti-Bacterial Agents Female beta-Lactams Reproducibility of Results Adrenergic beta-Antagonists Liver Cirrhosis Aged Gastrointestinal Agents Clinical Decision Rules Support Vector Machine End Stage Liver Disease Male Severity of Illness Index Water-Electrolyte Imbalance Kidney Diseases Middle Aged Patient Readmission Cohort Studies Hydrothorax Infections Gastrointestinal Hemorrhage Ascites ROC Curve Proton Pump Inhibitors Logistic Models Hepatic Encephalopathy Paracentesis Mortality Lactulose
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Colorectal Cancer Detected by Machine Learning Models Using Conventional Laboratory Test Data.

Technology in cancer research & treatment Jan 1, 2021
Current diagnostic methods for colorectal cancer (CRC) are colonoscopy and sigmoidoscopy, which are invasive and complex procedures with possible complications. This study aimed to determine models for CRC identification that involve minimally invas...
Biomarkers, Tumor Humans Female Male Logistic Models Machine Learning Aged Middle Aged Support Vector Machine Retrospective Studies Case-Control Studies Adult Area Under Curve Electronic Health Records Colorectal Neoplasms ROC Curve Diagnostic Tests, Routine
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Feature Selection is Critical for 2-Year Prognosis in Advanced Stage High Grade Serous Ovarian Cancer by Using Machine Learning.

Cancer control : journal of the Moffitt Cancer Center Jan 1, 2021
INTRODUCTION: Accurate prediction of patient prognosis can be especially useful for the selection of best treatment protocols. Machine Learning can serve this purpose by making predictions based upon generalizable clinical patterns embedded within le...
Cystadenocarcinoma, Serous Logistic Models Support Vector Machine Age Factors Ovarian Neoplasms Aged Patient Acuity Aged, 80 and over Adult Middle Aged Humans Machine Learning Prospective Studies Prognosis Female
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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...
Decision Trees Social Network Analysis Physician-Patient Relations Male Humans Patient Satisfaction Surveys and Questionnaires Patient Outcome Assessment Machine Learning ROC Curve Logistic Models Electronic Health Records Models, Statistical Female
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