AIMC Journal:
International journal of medical informatics

Showing 341 to 350 of 372 articles

Predicting post-stroke activities of daily living through a machine learning-based approach on initiating rehabilitation.

International journal of medical informatics Jan 4, 2018
OBJECTIVES: Prediction of activities of daily living (ADL) is crucial for optimized care of post-stroke patients. However, no suitably-validated and practical models are currently available in clinical practice.
Algorithms Retrospective Studies Female Aged Stroke Humans Male Activities of Daily Living Machine Learning Middle Aged Stroke Rehabilitation Taiwan Decision Making, Computer-Assisted Patient Discharge
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Prediction models to identify individuals at risk of metabolic syndrome who are unlikely to participate in a health intervention program.

International journal of medical informatics Dec 30, 2017
OBJECTIVES: Since the launch of a nationwide general health check-up and instruction program in Japan in 2008, interest in strategies to improve implementation of the program based on predictive analytics has grown. We investigated the performance of...
Health Behavior Adult Retrospective Studies Humans Logistic Models Early Intervention, Educational Female Male Machine Learning Risk Factors Health Promotion Algorithms Middle Aged Aged Metabolic Syndrome Japan
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Natural language processing of clinical notes for identification of critical limb ischemia.

International journal of medical informatics Dec 28, 2017
BACKGROUND: Critical limb ischemia (CLI) is a complication of advanced peripheral artery disease (PAD) with diagnosis based on the presence of clinical signs and symptoms. However, automated identification of cases from electronic health records (EHR...
Algorithms Electronic Health Records Female Aged Humans Peripheral Arterial Disease Natural Language Processing Male Data Mining Case-Control Studies Ischemia Lower Extremity
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Perceptions of the use of intelligent information access systems in university level active learning activities among teachers of biomedical subjects.

International journal of medical informatics Dec 23, 2017
BACKGROUND: Student participation and the use of active methodologies in classroom learning are being increasingly emphasized. The use of intelligent systems can be of great help when designing and developing these types of activities. Recently, emer...
Perception Problem-Based Learning Teacher Training Universities Access to Information Humans Education, Medical Information Systems Surveys and Questionnaires
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Information extraction from Italian medical reports: An ontology-driven approach.

International journal of medical informatics Dec 23, 2017
OBJECTIVE: In this work, we propose an ontology-driven approach to identify events and their attributes from episodes of care included in medical reports written in Italian. For this language, shared resources for clinical information extraction are ...
Humans Medical Records Databases, Factual Italy Natural Language Processing Documentation Information Storage and Retrieval Medical Record Linkage
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Behind the scenes: A medical natural language processing project.

International journal of medical informatics Dec 9, 2017
Advancement of Artificial Intelligence (AI) capabilities in medicine can help address many pressing problems in healthcare. However, AI research endeavors in healthcare may not be clinically relevant, may have unrealistic expectations, or may not be ...
Artificial Intelligence Machine Learning Algorithms Natural Language Processing Clinical Decision-Making Humans
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Evaluation of three machine learning models for self-referral decision support on low back pain in primary care.

International journal of medical informatics Nov 23, 2017
BACKGROUND: Most people experience low back pain (LBP) at least once in their life and for some patients this evolves into a chronic condition. One way to prevent acute LBP from transiting into chronic LBP, is to ensure that patients receive the righ...
Young Adult Adult Male Middle Aged Chronic Disease Adolescent Humans Referral and Consultation Primary Health Care Machine Learning Low Back Pain Decision Making Female Aged
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Supervised learning methods for pathological arterial pulse wave differentiation: A SVM and neural networks approach.

International journal of medical informatics Oct 31, 2017
OBJECTIVE: The main goal of this study was to develop an automatic method based on supervised learning methods, able to distinguish healthy from pathologic arterial pulse wave (APW), and those two from noisy waveforms (non-relevant segments of the si...
Arteries Humans Pulsatile Flow Neural Networks, Computer Pulse Wave Analysis Algorithms Equipment Design Case-Control Studies Signal Processing, Computer-Assisted Support Vector Machine
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Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach.

International journal of medical informatics Oct 5, 2017
BACKGROUND: Mortality prediction of hospitalized patients is an important problem. Over the past few decades, several severity scoring systems and machine learning mortality prediction models have been developed for predicting hospital mortality. By ...
Adolescent Hospital Mortality ROC Curve Bayes Theorem Male Middle Aged Severity of Illness Index Outcome Assessment, Health Care Heart Diseases Databases, Factual Intensive Care Units Female Aged Aged, 80 and over Young Adult Adult Humans Machine Learning
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Prediction of lung cancer patient survival via supervised machine learning classification techniques.

International journal of medical informatics Sep 25, 2017
Outcomes for cancer patients have been previously estimated by applying various machine learning techniques to large datasets such as the Surveillance, Epidemiology, and End Results (SEER) program database. In particular for lung cancer, it is not we...
Lung Neoplasms Humans Support Vector Machine Machine Learning Databases, Factual Survival Rate
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