AIMC Topic: Follow-Up Studies

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Natural Language Processing-Identified Problem Opioid Use and Its Associated Health Care Costs.

Journal of pain & palliative care pharmacotherapy Jan 31, 2019
Use of prescription opioids and problems of abuse and addiction have increased over the past decade. Claims-based studies have documented substantial economic burden of opioid abuse. This study utilized electronic health record (EHR) data to identify...
Medicare Opioid-Related Disorders Health Care Costs Cost of Illness Young Adult Adult Male Middle Aged Case-Control Studies Adolescent United States Longitudinal Studies Follow-Up Studies Natural Language Processing Analgesics, Opioid Humans Retrospective Studies Electronic Health Records Female Aged
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The oncological and surgical safety of robot-assisted surgery in colorectal cancer: outcomes of a longitudinal prospective cohort study.

Surgical endoscopy Jan 28, 2019
BACKGROUND: Colorectal cancer is one of the most common cancers worldwide. Laparoscopic colorectal surgery (LCRS) is a frequently used modality. A new development in minimally invasive surgery is robot-assisted colorectal surgery (RACRS).
Margins of Excision Intraoperative Complications Neoplasm Staging Neoplasm Recurrence, Local Female Disease-Free Survival Aged Netherlands Survival Rate Colectomy Humans Colorectal Neoplasms Prospective Studies Postoperative Complications Male Length of Stay Incidence Follow-Up Studies Operative Time Robotics
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Fully automated detection of retinal disorders by image-based deep learning.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Jan 4, 2019
PURPOSE: With the aging population and the global diabetes epidemic, the prevalence of age-related macular degeneration (AMD) and diabetic macular edema (DME) diseases which are the leading causes of blindness is further increasing. Intravitreal inje...
Humans Neural Networks, Computer Algorithms Retrospective Studies ROC Curve Image Processing, Computer-Assisted Follow-Up Studies Tomography, Optical Coherence Retina Retinal Diseases Female Reproducibility of Results Male Middle Aged Deep Learning
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Predictors of Nodal and Metastatic Failure in Early Stage Non-small-cell Lung Cancer After Stereotactic Body Radiation Therapy.

Clinical lung cancer Dec 29, 2018
INTRODUCTION/BACKGROUND: Many patients with early stage non-small-cell lung cancer (ES-NSCLC) undergoing stereotactic body radiation therapy (SBRT) develop metastases, which is associated with poor outcomes. We sought to identify factors predictive o...
Female Risk Factors Aged Aged, 80 and over Adult Male Middle Aged Disease Progression Lung Neoplasms Carcinoma, Non-Small-Cell Lung Follow-Up Studies Humans Prognosis Retrospective Studies Treatment Failure Lymphatic Metastasis Neoplasm Staging Tumor Burden Radiotherapy Dosage Radiosurgery
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A novel prediction method for lymph node involvement in endometrial cancer: machine learning.

International journal of gynecological cancer : official journal of the International Gynecological Cancer Society Dec 28, 2018
OBJECTIVE: The necessity of lymphadenectomy and the prediction of lymph node involvement (LNI) in endometrial cancer (EC) have been hotly-debated questions in recent years. Machine learning is a broad field that can produce results and estimations. I...
Models, Statistical Humans Adult Machine Learning Predictive Value of Tests Middle Aged Retrospective Studies Endometrial Neoplasms Lymph Nodes Female Follow-Up Studies Aged Lymph Node Excision Aged, 80 and over
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The Role of GDF-15 in Heart Failure Patients With Chronic Kidney Disease.

The Canadian journal of cardiology Dec 26, 2018
BACKGROUND: Growth differentiation factor-15 (GDF-15) is a stress-inducible cytokine and member of the transforming growth factor-β cytokine superfamily that refines prognostic assessment in subgroups of patients with heart failure (HF). We evaluated...
Sodium Renal Insufficiency, Chronic Humans Angiotensin-Converting Enzyme Inhibitors Biomarkers Sex Factors Glomerular Filtration Rate Growth Differentiation Factor 15 Female Heart-Assist Devices Follow-Up Studies Heart Failure, Systolic Male Natriuretic Peptide, Brain Blood Pressure Heart Transplantation Middle Aged Cholesterol Angiotensin Receptor Antagonists Proportional Hazards Models Systole
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Predicting persistent depressive symptoms in older adults: A machine learning approach to personalised mental healthcare.

Journal of affective disorders Dec 25, 2018
BACKGROUND: Depression causes significant physical and psychosocial morbidity. Predicting persistence of depressive symptoms could permit targeted prevention, and lessen the burden of depression. Machine learning is a rapidly expanding field, and suc...
Female Aged Aged, 80 and over Male Risk Assessment Depression Psychiatric Status Rating Scales Humans Logistic Models Machine Learning Follow-Up Studies Algorithms Age Factors Decision Support Techniques Predictive Value of Tests Delivery of Health Care
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Machine learning for predicting psychotic relapse at 2 years in schizophrenia in the national FACE-SZ cohort.

Progress in neuro-psychopharmacology & biological psychiatry Dec 12, 2018
BACKGROUND: Predicting psychotic relapse is one of the major challenges in the daily care of schizophrenia.
Male Diagnosis, Computer-Assisted Psychiatric Status Rating Scales Cohort Studies Follow-Up Studies Schizophrenia Psychotic Disorders Recurrence Schizophrenic Psychology Aggression Machine Learning Prognosis Female Adult Sensitivity and Specificity Humans
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Evaluating the performance of a deep learning-based computer-aided diagnosis (DL-CAD) system for detecting and characterizing lung nodules: Comparison with the performance of double reading by radiologists.

Thoracic cancer Dec 8, 2018
BACKGROUND: The study was conducted to evaluate the performance of a state-of-the-art commercial deep learning-based computer-aided diagnosis (DL-CAD) system for detecting and characterizing pulmonary nodules.
Middle Aged Case-Control Studies Diagnosis, Computer-Assisted Deep Learning Follow-Up Studies Multiple Pulmonary Nodules Prognosis Tomography, X-Ray Computed Female Reproducibility of Results Male Solitary Pulmonary Nodule Early Detection of Cancer Radiologists Humans
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Contrast enhancement is a prognostic factor in IDH1/2 mutant, but not in wild-type WHO grade II/III glioma as confirmed by machine learning.

European journal of cancer (Oxford, England : 1990) Dec 7, 2018
BACKGROUND: Mutation of the isocitrate dehydrogenase (IDH) gene and co-deletion on chromosome 1p/19q is becoming increasingly relevant for the evaluation of clinical outcome in glioma. Among the imaging parameters, contrast enhancement (CE) in WHO II...
Prognosis Retrospective Studies Female Survival Rate Brain Neoplasms Male Humans Machine Learning Middle Aged Mutation Glioma World Health Organization Follow-Up Studies Isocitrate Dehydrogenase Contrast Media Radiographic Image Enhancement Magnetic Resonance Imaging
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