AIMC Topic: Aged, 80 and over

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Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs.

European radiology Apr 1, 2019
OBJECTIVE: To identify the feasibility of using a deep convolutional neural network (DCNN) for the detection and localization of hip fractures on plain frontal pelvic radiographs (PXRs). Hip fracture is a leading worldwide health problem for the elde...
Neural Networks, Computer Algorithms Prognosis Female Aged Aged, 80 and over Humans ROC Curve Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Hip Fractures False Negative Reactions Radiography, Abdominal Young Adult Adult Sensitivity and Specificity Male Middle Aged Deep Learning
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Deep learning for identifying environmental risk factors of acute respiratory diseases in Beijing, China: implications for population with different age and gender.

International journal of environmental health research Mar 31, 2019
This study focuses on identifying environmental health risk factors related to acute respiratory diseases using deep learning method. Based on respiratory disease data, air pollution data and meteorological environmental data, cross-domain risk facto...
Child, Preschool Child Age Factors Acute Disease Air Pollutants Particulate Matter Environmental Exposure Weather Sex Factors Beijing Respiratory Tract Diseases Middle Aged Infant Deep Learning China Adolescent Incidence Humans Aged Female Aged, 80 and over Infant, Newborn Young Adult Risk Factors Adult Male
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Feature-weighted survival learning machine for COPD failure prediction.

Artificial intelligence in medicine Mar 28, 2019
Chronic obstructive pulmonary disease (COPD) yields a high rate of failures such as hospital readmission and death in the United States, Canada and worldwide. COPD failure imposes a significant social and economic burden on society, and predicting su...
Survival Analysis Proportional Hazards Models Electronic Health Records ROC Curve Humans Female Canada Machine Learning Pulmonary Disease, Chronic Obstructive Risk Factors Age Factors Biomarkers Hospitalization Prognosis Predictive Value of Tests Aged Male Retrospective Studies Sex Factors Aged, 80 and over Middle Aged Patient Readmission Severity of Illness Index Time Factors
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Falls Risk Classification of Older Adults Using Deep Neural Networks and Transfer Learning.

IEEE journal of biomedical and health informatics Mar 27, 2019
Prior research in falls risk classification using inertial sensors has relied on the use of engineered features, which has resulted in a feature space containing hundreds of features that are likely redundant and possibly irrelevant. In this paper, w...
Male Middle Aged Accidental Falls Adolescent ROC Curve Smartphone Signal Processing, Computer-Assisted Neural Networks, Computer Accelerometry Female Aged Humans Aged, 80 and over Young Adult Adult
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Evaluation of a sensor algorithm for motor state rating in Parkinson's disease.

Parkinsonism & related disorders Mar 26, 2019
INTRODUCTION: A treatment response objective index (TRIS) was previously developed based on sensor data from pronation-supination tests. This study aimed to examine the performance of TRIS for medication effects in a new population sample with Parkin...
Humans Female Aged Aged, 80 and over Male Middle Aged Wearable Electronic Devices Support Vector Machine Dose-Response Relationship, Drug Parkinson Disease Accelerometry Antiparkinson Agents Levodopa Motor Activity
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Automated tumour budding quantification by machine learning augments TNM staging in muscle-invasive bladder cancer prognosis.

Scientific reports Mar 26, 2019
Tumour budding has been described as an independent prognostic feature in several tumour types. We report for the first time the relationship between tumour budding and survival evaluated in patients with muscle invasive bladder cancer. A machine lea...
Adult Male Middle Aged Cohort Studies Image Processing, Computer-Assisted Urinary Bladder Neoplasms Machine Learning Prognosis Female Aged Aged, 80 and over Muscles Decision Trees Neoplasm Staging Survival Analysis Automation Proportional Hazards Models Kaplan-Meier Estimate Humans
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Can We Accurately Identify Peritoneal Metastases Based on Their Appearance? An Assessment of the Current Practice of Intraoperative Gastrointestinal Cancer Staging.

Annals of surgical oncology Mar 25, 2019
BACKGROUND: Peritoneal lesions are common findings during operative abdominal cancer staging. The decision to perform biopsy is made subjectively by the surgeon, a practice the authors hypothesized to be imprecise. This study aimed to describe optica...
Humans Machine Learning Prognosis Female Aged Peritoneal Neoplasms Practice Patterns, Physicians' Intraoperative Care Image Processing, Computer-Assisted Adenocarcinoma Follow-Up Studies Neoplasm Staging Laparoscopy Gastrointestinal Neoplasms Aged, 80 and over Adult Male Middle Aged Cohort Studies
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The Role of a Decision Support System in Back Pain Diagnoses: A Pilot Study.

BioMed research international Mar 25, 2019
It is the main goal of this study to investigate the concordance of a decision support system and the recommendation of spinal surgeons regarding back pain. 111 patients had to complete the decision support system. Furthermore, their illness was diag...
Back Pain Adult Male Middle Aged Diagnosis, Computer-Assisted Humans Pilot Projects Clinical Decision-Making Expert Systems Female Aged Aged, 80 and over
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Early experience with Watson for oncology in Korean patients with colorectal cancer.

PloS one Mar 25, 2019
BACKGROUND: Watson for oncology (WFO) is a cognitive computing system providing decision support. We evaluated the concordance rates between the treatment options determined by WFO and those determined by a multidisciplinary team (MDT).
Treatment Outcome Neoplasm Staging Expert Systems Medical Oncology Practice Guidelines as Topic Patient Care Team Republic of Korea Colorectal Neoplasms Female Humans Interdisciplinary Communication Male Reproducibility of Results Middle Aged Aged User-Computer Interface Software Aged, 80 and over Decision Support Systems, Clinical Algorithms Adult Computers Retrospective Studies
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Robot for health data acquisition among older adults: a pilot randomised controlled cross-over trial.

BMJ quality & safety Mar 20, 2019
BACKGROUND /OBJECTIVES: Healthcare professionals (HCP) are confronted with an increased demand for assessments of important health status measures, such as patient-reported outcome measurements (PROM), and the time this requires. The aim of this stud...
Cross-Over Studies Netherlands Patient Reported Outcome Measures Patient Satisfaction Time Humans Female Aged, 80 and over Aged Male Pilot Projects Surveys and Questionnaires Interviews as Topic Robotics
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