AIMC Topic: Early Diagnosis

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Machine-learning-based patient-specific prediction models for knee osteoarthritis.

Nature reviews. Rheumatology Jan 1, 2019
Osteoarthritis (OA) is an extremely common musculoskeletal disease. However, current guidelines are not well suited for diagnosing patients in the early stages of disease and do not discriminate patients for whom the disease might progress rapidly. T...
Precision Medicine Clinical Decision-Making Female Risk Factors Humans Machine Learning Early Diagnosis Osteoarthritis, Knee Aged Clinical Decision Rules Aged, 80 and over Models, Theoretical Male Data Mining Disease Progression
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Improving Detection of Early Chronic Obstructive Pulmonary Disease.

Annals of the American Thoracic Society Dec 1, 2018
Despite being a major cause of morbidity and mortality, chronic obstructive pulmonary disease (COPD) is frequently undiagnosed. Yet the burden of disease among the undiagnosed is significant, as these individuals experience symptoms, exacerbations, a...
Early Diagnosis Sensitivity and Specificity Humans Disease Progression Respiratory Function Tests Tomography, X-Ray Computed Lung Spirometry Risk Factors Pulmonary Emphysema Pulmonary Disease, Chronic Obstructive
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Machine learning approach for early detection of autism by combining questionnaire and home video screening.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2018
BACKGROUND: Existing screening tools for early detection of autism are expensive, cumbersome, time- intensive, and sometimes fall short in predictive value. In this work, we sought to apply Machine Learning (ML) to gold standard clinical data obtaine...
Methods Videotape Recording Humans Child, Preschool ROC Curve Early Diagnosis Machine Learning Autistic Disorder Algorithms Surveys and Questionnaires
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Detection of Early Stage Alzheimer's Disease using EEG Relative Power with Deep Neural Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Electroencephalogram (EEG) signal based early diagnosis of Alzheimer's Disease (AD), especially a discrimination between healthy control (HC) and mild cognitive impairment (MCI) has received remarkable attentions to complement conventional diagnosing...
Cognitive Dysfunction Electroencephalography Alzheimer Disease Early Diagnosis Humans Neural Networks, Computer Female
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Artificial Neural Networking Model for the Prediction of Early Occlusion of Bilateral Plastic Stent Placement for Inoperable Hilar Cholangiocarcinoma.

Surgical laparoscopy, endoscopy & percutaneous techniques Apr 1, 2018
BACKGROUND: This study aimed to determine whether the back-propagation artificial neural network (BP-ANN) model could be constructed to accurately in predicting early occlusion of bilateral plastic stent placement for inoperable hilar cholangiocarcin...
Male Postoperative Complications ROC Curve Follow-Up Studies Prospective Studies Retrospective Studies Female Aged Early Diagnosis Palliative Care Bile Duct Neoplasms Klatskin Tumor Prosthesis Failure Plastics Neoplasm Staging Prosthesis Design Stents Humans Neural Networks, Computer Bile Ducts, Intrahepatic
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Machine learning: Calculating disease.

Nature Oct 18, 2017
Natural Language Processing Amyotrophic Lateral Sclerosis Survival Analysis Early Diagnosis Pattern Recognition, Automated Clinical Trials as Topic Disease Progression Case-Control Studies Speech Magnetic Resonance Imaging Machine Learning Brain Prognosis Reproducibility of Results Humans
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Using life's digital detritus to feed discovery.

The lancet. Psychiatry Mar 1, 2017
Mental Health Humans Social Media Early Diagnosis Machine Learning Psychiatry Risk Factors
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Using recurrent neural network models for early detection of heart failure onset.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2017
OBJECTIVE: We explored whether use of deep learning to model temporal relations among events in electronic health records (EHRs) would improve model performance in predicting initial diagnosis of heart failure (HF) compared to conventional methods th...
Neural Networks, Computer Humans Machine Learning Heart Failure Electronic Health Records Early Diagnosis Support Vector Machine Logistic Models Area Under Curve
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Cell Free DNA and Procalcitonin as Early Markers of Complications in ICU Patients with Multiple Trauma and Major Surgery.

Clinical laboratory Dec 1, 2016
BACKGROUND: Cell free DNA (cfDNA) was recently suggested as a new marker of sepsis and poor outcome in ICU patients. Procalcitonin has also been the focus of attention as an early marker for systemic inflammation and sepsis.
Injury Severity Score Middle Aged Organ Dysfunction Scores Postoperative Complications Calcitonin DNA Length of Stay Early Diagnosis Sepsis Biomarkers Humans Surgical Procedures, Operative Reproducibility of Results Prognosis Lactic Acid Multiple Trauma Time Factors Risk Factors Intensive Care Units Hospital Mortality Predictive Value of Tests Adult Female ROC Curve Male C-Reactive Protein Cell-Free Nucleic Acids Area Under Curve
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Imaging and machine learning techniques for diagnosis of Alzheimer's disease.

Reviews in the neurosciences Dec 1, 2016
Alzheimer's disease (AD) is a common health problem in elderly people. There has been considerable research toward the diagnosis and early detection of this disease in the past decade. The sensitivity of biomarkers and the accuracy of the detection t...
Neural Networks, Computer Machine Learning Brain Aged Animals Image Processing, Computer-Assisted Alzheimer Disease Early Diagnosis Humans
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