AI Medical Compendium Topic:
Disease Progression

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Deep learning for clustering of multivariate clinical patient trajectories with missing values.

GigaScience Nov 1, 2019
BACKGROUND: Precision medicine requires a stratification of patients by disease presentation that is sufficiently informative to allow for selecting treatments on a per-patient basis. For many diseases, such as neurological disorders, this stratifica...
Disease Progression Deep Learning Models, Neurological Parkinson Disease Alzheimer Disease Databases, Factual Precision Medicine Female Male Humans
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Relevant Features in Nonalcoholic Steatohepatitis Determined Using Machine Learning for Feature Selection.

Metabolic syndrome and related disorders Nov 1, 2019
We investigated the prevalence and the most relevant features of nonalcoholic steatohepatitis (NASH), a stage of nonalcoholic fatty liver disease, (NAFLD) in which the inflammation of hepatocytes can lead to increased cardiovascular risk, liver fibr...
Sensitivity and Specificity Cross-Sectional Studies Male Middle Aged Retrospective Studies Liver Cirrhosis Machine Learning Disease Progression Female Hypertension Prevalence Algorithms Metabolic Syndrome Severity of Illness Index Aged Prognosis Decision Making Diabetes Mellitus, Type 2 Adult Humans Non-alcoholic Fatty Liver Disease
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MRI-based prediction of conversion from clinically isolated syndrome to clinically definite multiple sclerosis using SVM and lesion geometry.

Brain imaging and behavior Oct 1, 2019
Neuroanatomical pattern classification using support vector machines (SVMs) has shown promising results in classifying Multiple Sclerosis (MS) patients based on individual structural magnetic resonance images (MRI). To determine whether pattern class...
Adult Male Disease Progression Support Vector Machine Magnetic Resonance Imaging Humans Female Randomized Controlled Trials as Topic Multiple Sclerosis Gray Matter
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[French ccAFU guidelines – Update 2018–2020: Bladder cancer].

Progres en urologie : journal de l'Association francaise d'urologie et de la Societe francaise d'urologie Sep 20, 2019
OBJECTIVE: To propose updated French guidelines for non-muscle invasive (NMIBC) and muscle-invasive (MIBC) bladder cancers.
Survival Analysis Urinary Bladder Neoplasms Humans Medical Oncology Disease Progression Cystoscopy Diagnostic Imaging Carcinoma, Transitional Cell History, 21st Century Antineoplastic Agents France Watchful Waiting Administration, Intravesical Cystectomy Immunotherapy Combined Modality Therapy
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Multimodal Data Fusion of Deep Learning and Dynamic Functional Connectivity Features to Predict Alzheimer's Disease Progression.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Early prediction of diseased brain conditions is critical for curing illness and preventing irreversible neuronal dysfunction and loss. Generically regarding the different neuroimaging modalities as filtered, complementary insights of brain's anatomi...
Magnetic Resonance Imaging Alzheimer Disease Neuroimaging Brain Disease Progression Humans Deep Learning Forecasting Cognitive Dysfunction
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Automatic Classification and Monitoring of Denovo Parkinson's Disease by Learning Demographic and Clinical Features.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Parkinson's Disease (PD) is the second most prevalent progressive neurological disorder around the world with high incidence rates for seniors. Since most symptoms are exposed in the later stages of the disease, early diagnosis of PD is essential for...
Machine Learning Biomarkers Disease Progression Parkinson Disease Demography Early Diagnosis Automation Humans
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Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering.

Neuroinformatics Jul 1, 2019
Amyotrophic lateral sclerosis (ALS) is a complex progressive neurodegenerative disorder with an estimated prevalence of about 5 per 100,000 people in the United States. In this study, the ALS disease progression is measured by the change of Amyotroph...
Middle Aged Disease Progression Cluster Analysis Bayes Theorem Female Reproducibility of Results Adult Male Amyotrophic Lateral Sclerosis Linear Models Humans Machine Learning
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Usefulness of Deep Learning Analysis for the Diagnosis of Malignancy in Intraductal Papillary Mucinous Neoplasms of the Pancreas.

Clinical and translational gastroenterology May 22, 2019
OBJECTIVES: Intraductal papillary mucinous neoplasms (IPMNs) are precursor lesions of pancreatic adenocarcinoma. Artificial intelligence (AI) is a mathematical concept whose implementation automates learning and recognizing data patterns. The aim of ...
ROC Curve Image Processing, Computer-Assisted Pancreatic Neoplasms Carcinoma, Pancreatic Ductal Pancreatectomy Humans Preoperative Period Retrospective Studies Pancreatic Intraductal Neoplasms Endosonography Pancreas Male Middle Aged Disease Progression Deep Learning Female Aged Aged, 80 and over Adult
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An outcome model approach to transporting a randomized controlled trial results to a target population.

Journal of the American Medical Informatics Association : JAMIA May 1, 2019
OBJECTIVE: Participants enrolled into randomized controlled trials (RCTs) often do not reflect real-world populations. Previous research in how best to transport RCT results to target populations has focused on weighting RCT data to look like the tar...
Antihypertensive Agents Disease Progression Translational Research, Biomedical Diabetes Mellitus, Type 2 Humans Outcome Assessment, Health Care Evidence-Based Medicine Hypoglycemic Agents Nateglinide Randomized Controlled Trials as Topic Prediabetic State Machine Learning Valsartan Electronic Health Records Cardiovascular Diseases
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Deep Learning for Prediction of AMD Progression: A Pilot Study.

Investigative ophthalmology & visual science Feb 1, 2019
PURPOSE: To develop and assess a method for predicting the likelihood of converting from early/intermediate to advanced wet age-related macular degeneration (AMD) using optical coherence tomography (OCT) imaging and methods of deep learning.
Aged, 80 and over Male Middle Aged Neural Networks, Computer Disease Progression Diagnosis, Computer-Assisted Wet Macular Degeneration Follow-Up Studies Machine Learning Deep Learning Tomography, Optical Coherence Female Pilot Projects Humans Aged ROC Curve
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