AIMC Topic: Risk Assessment

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[Machine learning for predictive analyses in health: an example of an application to predict death in the elderly in São Paulo, Brazil].

Cadernos de saude publica Jul 29, 2019
This study aims to present the stages related to the use of machine learning algorithms for predictive analyses in health. An application was performed in a database of elderly residents in the city of São Paulo, Brazil, who participated in the Healt...
Risk Assessment Female Brazil Aged ROC Curve Humans Sensitivity and Specificity Logistic Models Machine Learning Male Death Algorithms Prognosis Middle Aged
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A whole slide image-based machine learning approach to predict ductal carcinoma in situ (DCIS) recurrence risk.

Breast cancer research : BCR Jul 29, 2019
BACKGROUND: Breast ductal carcinoma in situ (DCIS) represent approximately 20% of screen-detected breast cancers. The overall risk for DCIS patients treated with breast-conserving surgery stems almost exclusively from local recurrence. Although a mas...
Humans Middle Aged Aged, 80 and over Machine Learning Risk Assessment Carcinoma, Intraductal, Noninfiltrating Adult Neoplasm Staging Neoplasm Recurrence, Local Prognosis Breast Neoplasms Neoplasm Grading Female Immunohistochemistry Biomarkers, Tumor Mastectomy Aged Proportional Hazards Models
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Prodromal clinical, demographic, and socio-ecological correlates of asthma in adults: a 10-year statewide big data multi-domain analysis.

The Journal of asthma : official journal of the Association for the Care of Asthma Jul 26, 2019
To identify prodromal correlates of asthma as compared to chronic obstructive pulmonary disease and allied-conditions (COPDAC) using a multi domain analysis of socio-ecological, clinical, and demographic domains. This is a retrospective case-risk-co...
Humans Asthma Male Middle Aged Risk Assessment Case-Control Studies Machine Learning Retrospective Studies Female Risk Factors Adult Models, Biological Big Data Early Diagnosis ROC Curve Administrative Claims, Healthcare Socioeconomic Factors Florida Longitudinal Studies
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Machine Learning Models in Type 2 Diabetes Risk Prediction: Results from a Cross-sectional Retrospective Study in Chinese Adults.

Current medical science Jul 25, 2019
Type 2 diabetes mellitus (T2DM) has become a prevalent health problem in China, especially in urban areas. Early prevention strategies are needed to reduce the associated mortality and morbidity. We applied the combination of rules and different mach...
Male Risk Assessment China Diabetes Mellitus, Type 2 Machine Learning Retrospective Studies Female Adult Cross-Sectional Studies Humans
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Predicting ideal outcome after pediatric liver transplantation: An exploratory study using machine learning analyses to leverage Studies of Pediatric Liver Transplantation Data.

Pediatric transplantation Jul 22, 2019
Machine learning analyses allow for the consideration of numerous variables in order to accommodate complex relationships that would not otherwise be apparent in traditional statistical methods to better classify patient risk. The SPLIT registry data...
Risk Factors Young Adult Adult Risk Assessment Infant Liver Failure Adolescent Child, Preschool Biliary Tract Surgical Procedures Child Humans Registries Treatment Outcome Machine Learning Liver Transplantation Predictive Value of Tests Software Pediatrics Algorithms Anastomosis, Surgical Prospective Studies
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Predicting asthma attacks in primary care: protocol for developing a machine learning-based prediction model.

BMJ open Jul 9, 2019
INTRODUCTION: Asthma is a long-term condition with rapid onset worsening of symptoms ('attacks') which can be unpredictable and may prove fatal. Models predicting asthma attacks require high sensitivity to minimise mortality risk, and high specificit...
Bayes Theorem Symptom Flare Up Scotland Clinical Decision Rules Asthma Risk Assessment Primary Health Care Support Vector Machine Emergency Service, Hospital Humans Machine Learning Hospitalization
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A Real-Time Early Warning System for Monitoring Inpatient Mortality Risk: Prospective Study Using Electronic Medical Record Data.

Journal of medical Internet research Jul 5, 2019
BACKGROUND: The rapid deterioration observed in the condition of some hospitalized patients can be attributed to either disease progression or imperfect triage and level of care assignment after their admission. An early warning system (EWS) to ident...
Computer Systems Monitoring, Physiologic Inpatients Mortality Machine Learning Algorithms Prospective Studies Retrospective Studies Humans Female Electronic Health Records Risk Factors Male Middle Aged Risk Assessment
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Development and validation of three machine-learning models for predicting multiple organ failure in moderately severe and severe acute pancreatitis.

BMC gastroenterology Jul 4, 2019
BACKGROUND: Multiple organ failure (MOF) is a serious complication of moderately severe (MASP) and severe acute pancreatitis (SAP). This study aimed to develop and assess three machine-learning models to predict MOF.
Machine Learning Prognosis Retrospective Studies Female Adult Humans Multiple Organ Failure Predictive Value of Tests Acute Disease APACHE Pancreatitis Male Middle Aged Risk Assessment Severity of Illness Index Logistic Models
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Deep Learning to Assess Long-term Mortality From Chest Radiographs.

JAMA network open Jul 3, 2019
IMPORTANCE: Chest radiography is the most common diagnostic imaging test in medicine and may also provide information about longevity and prognosis.
Radiography, Thoracic Thorax Risk Factors Humans Aged Risk Assessment Neural Networks, Computer Male Deep Learning Prognosis Cardiovascular Diseases Mass Screening Female Middle Aged Lung Diseases Clinical Trials as Topic
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Development and Validation of a Deep Learning Algorithm for Mortality Prediction in Selecting Patients With Dementia for Earlier Palliative Care Interventions.

JAMA network open Jul 3, 2019
IMPORTANCE: Early palliative care interventions drive high-value care but currently are underused. Health care professionals face challenges in identifying patients who may benefit from palliative care.
Risk Assessment Deep Learning Dementia Female Registries Terminal Care Aged Patient Selection Humans Aged, 80 and over Palliative Care Retrospective Studies Male Middle Aged
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