AIMC Journal:
International journal of medical informatics

Showing 261 to 270 of 372 articles

Predicting hospital readmission in patients with mental or substance use disorders: A machine learning approach.

International journal of medical informatics Apr 18, 2020
OBJECTIVE: Mental or substance use disorders (M/SUD) are major contributors of disease burden with high risk for hospital readmissions. We sought to develop and evaluate a readmission model using a machine learning (ML) approach.
Machine Learning Mental Disorders Retrospective Studies Female ROC Curve Risk Factors Longitudinal Studies Hospitalization Substance-Related Disorders Aged Humans Patient Discharge Middle Aged Comorbidity Adolescent Child Patient Readmission Young Adult Adult Male
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Predicting in-hospital mortality of patients with febrile neutropenia using machine learning models.

International journal of medical informatics Apr 15, 2020
BACKGROUND: Febrile neutropenia (FN) has been associated with high mortality among adults with cancer. Current systems for early detection of inpatient FN mortality are based on scoring indexes that require intensive physicians' subjective evaluation...
ROC Curve Support Vector Machine Febrile Neutropenia Survival Rate Male Middle Aged Hospital Mortality Female Hospitalization Aged Humans Neural Networks, Computer Machine Learning
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An Integrated Approach of Machine Learning and Systems Thinking for Waiting Time Prediction in an Emergency Department.

International journal of medical informatics Apr 12, 2020
OBJECTIVE: The objective of this study is to apply machine learning algorithms for real-time and personalized waiting time prediction in emergency departments. We also aim to introduce the concept of systems thinking to enhance the performance of the...
Emergency Service, Hospital Middle Aged Length of Stay Support Vector Machine Humans Neural Networks, Computer Machine Learning Algorithms Female Male
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Machine learning application for incident prostate adenocarcinomas automatic registration in a French regional cancer registry.

International journal of medical informatics Apr 9, 2020
UNLABELLED: Cancer registries are collections of curated data about malignant tumor diseases. The amount of data processed by cancer registries increases every year, making manual registration more and more tedious.
Humans Machine Learning Algorithms Registries Data Mining Male France International Classification of Diseases Incidence Adenocarcinoma Prostatic Neoplasms
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Automated ICD coding via unsupervised knowledge integration (UNITE).

International journal of medical informatics Apr 4, 2020
OBJECTIVE: Accurate coding is critical for medical billing and electronic medical record (EMR)-based research. Recent research has been focused on developing supervised methods to automatically assign International Classification of Diseases (ICD) co...
Automation International Classification of Diseases Disease Machine Learning Algorithms Electronic Health Records Humans Neural Networks, Computer
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Smartphone as a monitoring tool for bipolar disorder: a systematic review including data analysis, machine learning algorithms and predictive modelling.

International journal of medical informatics Mar 31, 2020
BACKGROUND: Bipolar disorder (BD) is a chronic illness with a high recurrence rate. Smartphones can be a useful tool for detecting prodromal symptoms of episode recurrence (through real-time monitoring) and providing options for early intervention be...
Algorithms Female Male Surveys and Questionnaires Humans Machine Learning Data Analysis Bipolar Disorder Smartphone Monitoring, Physiologic
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Clinical decision support system to predict chronic kidney disease: A fuzzy expert system approach.

International journal of medical informatics Mar 30, 2020
BACKGROUND AND OBJECTIVES: Diagnosis and early intervention of chronic kidney disease are essential to prevent loss of kidney function and a large amount of financial resources. To this end, we developed a fuzzy logic-based expert system for diagnosi...
Expert Systems Humans Decision Support Systems, Clinical Renal Insufficiency, Chronic Fuzzy Logic
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Predicting Optimal Hypertension Treatment Pathways Using Recurrent Neural Networks.

International journal of medical informatics Mar 21, 2020
BACKGROUND: In ambulatory care settings, physicians largely rely on clinical guidelines and guideline-based clinical decision support (CDS) systems to make decisions on hypertension treatment. However, current clinical evidence, which is the knowledg...
Blood Pressure Antihypertensive Agents Feasibility Studies Practice Guidelines as Topic Hypertension Blood Pressure Determination Monitoring, Physiologic Patient Care Planning Humans Neural Networks, Computer Databases, Factual Electronic Health Records
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Concept based auto-assignment of healthcare questions to domain experts in online Q&A communities.

International journal of medical informatics Mar 6, 2020
BACKGROUND: Healthcare consumers are increasingly turning to the online health Q&A communities to seek answers for their questions because current general search engines are unable to digest complex health-related questions. Q&A communities are platf...
Delivery of Health Care Surveys and Questionnaires Natural Language Processing Expert Systems Consumer Health Information Information Storage and Retrieval Humans Search Engine Semantics Algorithms Unified Medical Language System
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Identification of elders at higher risk for fall with statewide electronic health records and a machine learning algorithm.

International journal of medical informatics Mar 3, 2020
OBJECTIVE: Predicting the risk of falls in advance can benefit the quality of care and potentially reduce mortality and morbidity in the older population. The aim of this study was to construct and validate an electronic health record-based fall risk...
Maine Aged, 80 and over Electronic Health Records Comorbidity Humans Male Female Accidental Falls Machine Learning Risk Assessment Risk Factors Cohort Studies Algorithms Aged Parkinson Disease
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