Results 71 to 80 of about 79,234 (172)

Understanding Learned Models by Identifying Important Features at the Right Resolution

, 2018
In many application domains, it is important to characterize how complex learned models make their decisions across the distribution of instances. One way to do this is to identify the features and interactions among them that contribute to a model's ...
Craven, Mark, Lee, Kyubin, Sood, Akshay
core   +1 more source

Prediction of Cardiovascular Diseases Using an Optimized Artificial Neural Network

Majallah-i Dānishgāh-i ’Ulūm-i Pizishkī-i Īlām, 2019
Introduction:  It is of utmost importance to predict cardiovascular diseases correctly. Therefore, it is necessary to utilize those models with a minimum error rate and maximum reliability.
Jalal Rezaeenoor, Ghofran Saadi, Meysam Jahani   +2 more
doaj  

Early Seizure Detection with an Energy-Efficient Convolutional Neural Network on an Implantable Microcontroller

, 2018
Implantable, closed-loop devices for automated early detection and stimulation of epileptic seizures are promising treatment options for patients with severe epilepsy that cannot be treated with traditional means.
Blum, Manuel, Boedecker, Joschka, Dümpelmann, Matthias, Heller, Simon, Hügle, Maria, Manzouri, Farrokh, Schulze-Bonhage, Andreas, Watter, Manuel, Woias, Peter   +8 more
core   +1 more source

Artificial neural networks modeling gene-environment interaction

BMC Genetics, 2012
Background Gene-environment interactions play an important role in the etiological pathway of complex diseases. An appropriate statistical method for handling a wide variety of complex situations involving interactions between variables is still lacking,
Günther Frauke, Pigeot Iris, Bammann Karin   +2 more
doaj   +1 more source

Malakoplakia of the colon following renal transplantation in a 73 year old woman: report of a case presenting as intestinal perforation

Diagnostic Pathology, 2019
Background Malakoplakia is a chronic inflammatory disease characterized by tissue infiltrates of large granular macrophages containing distinctive intracytoplasmic inclusions termed Michaelis-Gutmann (MG) bodies.
Andrew Mitchell, Alexandre Dugas
doaj   +1 more source

Analysis of Bowel Diseases from Blood Serum by Autofluorescence and Atomic Force Microscopy Techniques

Open Chemistry, 2018
Diagnosis of bowel diseases is often difficult and time consuming since it is not always possible to obtain adequate information by the conventional diagnostic methods to set up a diagnosis and exclude nongastrointestinal causes of symptoms.
Tomečková Vladimíra, Tóth Štefan, Tóth Tímea, Komanický Vladimír, Krajčíková Kristína, Široká Monika, Glinská Gabriela, Pella Dominik, Mašlanková Jana, Tomečko Marián, Hakim Tamer, Štefanič Peter   +11 more
doaj   +1 more source

One - stage laparoscopic treatment of chronic inflammatory complications of diverticular colon disease

Сеченовский вестник, 2019
Introduction. Diverticulosis of the colon is one of the most common diseases of the intestine. In recent years, there has been an increasing tendency for diverticular disease (DD) to manifest itself at earlier age, as well as to the more frequent ...
E. A. Gallyamov, Y. B. Busyrev, I. V. Gorbacheva, V. A. Dugin   +3 more
doaj   +1 more source

Filiform Polyposis (A Rare Form of Pseudopolyps) with Co-existing Cytomegalovirus Infection in a Case of Ulcerative Colitis [PDF]

Journal of Clinical and Diagnostic Research
Filiform Polyposis (FP) is a rare form of pseudopolyps, occurring most commonly in the large intestine. It usually occurs as a rare complication of inflammatory bowel disease (Crohn’s disease or, more commonly, ulcerative colitis).
Akruti Mishra, Ranjana Giri, Pranati Misra, Arunima Aishwariya   +3 more
doaj   +1 more source

Design of a Decision Support System to Diagnose and Predict Heart Disease using Artificial Neural Network; a case study (Ayatollah Golpayegani Hospital in Qom)

Rāhburdhā-yi Mudīriyyat dar Niẓām-i Salāmat, 2019
Background: Considering the prevalence of cardiovascular diseases in Iran and the high rate of death caused by these diseases, correct prediction of patients' situation is important. So, it is necessary to use the prediction models with minimum error and
Jalal Rezaenoor, Ghofran Saadi, Amirhosein Akbari   +2 more
doaj