AIMC Topic: Thrombosis
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Ensemble of machine learning algorithms using the stacked generalization approach to estimate the warfarin dose.
PloS one
Oct 19, 2018
Warfarin dosing remains challenging due to narrow therapeutic index and highly individual variability. Incorrect warfarin dosing is associated with devastating adverse events. Remarkable efforts have been made to develop the machine learning based wa...
Medical Errors
Vitamin K Epoxide Reductases
Humans
Machine Learning
Algorithms
Databases, Factual
Anticoagulants
Pharmacogenetics
Female
Warfarin
Drug Administration Schedule
Cohort Studies
Aged
Thrombosis
Polymorphism, Single Nucleotide
Multivariate Analysis
Aged, 80 and over
Hemorrhage
Genotype
International Cooperation
Male
Linkage Disequilibrium
Middle Aged
Combining Context and Knowledge Representations for Chemical-Disease Relation Extraction.
IEEE/ACM transactions on computational biology and bioinformatics
May 21, 2018
Automatically extracting the relationships between chemicals and diseases is significantly important to various areas of biomedical research and health care. Biomedical experts have built many large-scale knowledge bases (KBs) to advance the developm...
Fully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using Deep Convolutional Neural Networks.
Medical image analysis
Mar 27, 2018
Computerized Tomography Angiography (CTA) based follow-up of Abdominal Aortic Aneurysms (AAA) treated with Endovascular Aneurysm Repair (EVAR) is essential to evaluate the progress of the patient and detect complications. In this context, accurate qu...
Magnetically Coated Bioabsorbable Stents for Renormalization of Arterial Vessel Walls after Stent Implantation.
Nano letters
Dec 28, 2017
The insertion of a stent in diseased arteries is a common endovascular procedure that can be compromised by the development of short- and long-term inflammatory responses leading to restenosis and thrombosis, respectively. While treatment with drugs,...
Association between inflammation biomarkers, anatomic extent of deep venous thrombosis, and venous symptoms after deep venous thrombosis.
Journal of vascular surgery. Venous and lymphatic disorders
Aug 1, 2015
OBJECTIVE: Inflammation may play a role in pathogenesis of venous thromboembolism, but the nature of this relationship is not yet understood. The objective of this study was to assess whether inflammation marker levels measured at diagnosis of deep v...
Deep Learning-Based 3D Segmentation of True Lumen, False Lumen, and False Lumen Thrombosis in Type-B Aortic Dissection.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Nov 1, 2021
Patients with initially uncomplicated typeB aortic dissection (uTBAD) remain at high risk for developing late complications. Identification of morphologic features for improving risk stratification of these patients requires automated segmentation of...
Machine learning algorithms utilizing blood parameters enable early detection of immunethrombotic dysregulation in COVID-19.
Clinical and translational medicine
Sep 1, 2021
Renal cancer with extensive level IV intracardiac tumour thrombus removed by robot.
Lancet (London, England)
Nov 14, 2020
[A Case of Hepatocellular Carcinoma with Portal Vein Tumor Thrombus Successfully Treated by Three-Dimensional Conformal Radiotherapy].
Gan to kagaku ryoho. Cancer & chemotherapy
Dec 1, 2019
A man in his 50s was referred to our hospital with a liver tumor detected by ultrasonography during a medical checkup. Enhanced CT scan and MRI showed hepatocellular carcinoma(HCC)in S8 of the liver. Laparoscopic partial hepatectomy was performed. Th...
Artificial intelligence for cancer-associated thrombosis risk assessment.
The Lancet. Haematology
Sep 1, 2018
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