Computer-Aided Prediction of Long-Term Prognosis of Patients with Ulcerative Colitis after Cytoapheresis Therapy.

PubWeight™: 0.75‹?›

🔗 View Article (PMC 4481415)

Published in PLoS One on June 25, 2015

Authors

Tetsuro Takayama1, Susumu Okamoto2, Tadakazu Hisamatsu3, Makoto Naganuma4, Katsuyoshi Matsuoka5, Shinta Mizuno6, Rieko Bessho3, Toshifumi Hibi7, Takanori Kanai3

Author Affiliations

1: Division of Gastroenterology and Hepatology, Department of Internal Medicine, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan; Predictive Medicine Institute, Minato-ku, Tokyo, Japan; Tokai University School of Medicine, Isehara-shi, Kanagawa, Japan; Wata Clinic, Katsushika-ku, Tokyo, Japan.
2: Department of General Medicine, Kyorin University School of Medicine, Mitaka-shi, Tokyo, Japan.
3: Division of Gastroenterology and Hepatology, Department of Internal Medicine, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan.
4: Center for Diagnostic and Therapeutic Endoscopy, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan.
5: Department of Advanced Therapeutics for Gastrointestinal Diseases, Graduate School, Tokyo Medical and Dental University, Bunkyo-ku, Tokyo, Japan.
6: Division of Gastroenterology and Hepatology, Department of Internal Medicine, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan; Department of Internal Medicine, Saiseikai Central Hospital, Minato-ku, Tokyo, Japan.
7: Center for Advanced IBD Research and Treatment, Kitasato Institute Hospital, Kitasato University,Minato-ku, Tokyo, Japan.

Articles cited by this

Use of an artificial neural network for the diagnosis of myocardial infarction. Ann Intern Med (1991) 4.90

Introduction to neural networks. Lancet (1995) 4.29

Coated mesalazine (5-aminosalicylic acid) versus sulphasalazine in the treatment of active ulcerative colitis: a randomised trial. BMJ (1989) 4.13

Prediction of outcome in acute lower-gastrointestinal haemorrhage based on an artificial neural network: internal and external validation of a predictive model. Lancet (2003) 3.26

Application of artificial neural networks to clinical medicine. Lancet (1995) 3.15

Selective granulocyte and monocyte adsorptive apheresis as a first-line treatment for steroid naïve patients with active ulcerative colitis: a prospective uncontrolled study. Dig Dis Sci (2004) 1.92

A randomised dose finding study of oral tacrolimus (FK506) therapy in refractory ulcerative colitis. Gut (2006) 1.75

Clinical evaluation of granulocyte/monocyte apheresis therapy for active ulcerative colitis. Dig Liver Dis (2004) 1.62

A randomized, double-blind, sham-controlled study of granulocyte/monocyte apheresis for active ulcerative colitis. Gastroenterology (2008) 1.53

Prediction of outcome in acute lower gastrointestinal hemorrhage: role of artificial neural network. Eur J Gastroenterol Hepatol (2007) 1.46

Granulocytapheresis is useful as an alternative therapy in patients with steroid-refractory or -dependent ulcerative colitis. Inflamm Bowel Dis (2004) 1.29

An open-label prospective randomized multicenter study shows very rapid remission of ulcerative colitis by intensive granulocyte and monocyte adsorptive apheresis as compared with routine weekly treatment. Am J Gastroenterol (2009) 1.24

Leukocyte adsorptive apheresis for the treatment of active ulcerative colitis: a prospective, uncontrolled, pilot study. Clin Gastroenterol Hepatol (2003) 1.18

Granulocyte and monocyte adsorptive apheresis in the treatment of active distal ulcerative colitis: a prospective, pilot study. Aliment Pharmacol Ther (2004) 1.11

Adsorptive granulocyte and monocyte apheresis versus prednisolone in patients with corticosteroid-dependent moderately severe ulcerative colitis. Digestion (2004) 1.10

Introduction to artificial neural networks. Eur J Gastroenterol Hepatol (2007) 1.09

International experience on the use of artificial neural networks in gastroenterology. Dig Liver Dis (2007) 1.08

Therapeutic leukocytapheresis for inflammatory bowel disease. Transfus Apher Sci (2007) 1.05

Treating ulcerative colitis by Adacolumn therapeutic leucocytapheresis: clinical efficacy and safety based on surveillance of 656 patients in 53 centres in Japan. Dig Liver Dis (2009) 1.02

Formula optimization of theophylline controlled-release tablet based on artificial neural networks. J Control Release (2000) 0.97

Neural network based optimization of drug formulations. Adv Drug Deliv Rev (2003) 0.95

Artificial neural networks for the prediction of response to interferon plus ribavirin treatment in patients with chronic hepatitis C. Curr Pharm Des (2004) 0.95

The impact of chronic hepatitis C virus infection on HIV disease and progression in intravenous drug users. Eur J Gastroenterol Hepatol (1998) 0.93

Impact of selective leukocytapheresis on mucosal inflammation and ulcerative colitis: cytokine profiles and endoscopic findings. Inflamm Bowel Dis (2006) 0.91

Prediction of metabolic syndrome using artificial neural network system based on clinical data including insulin resistance index and serum adiponectin. Comput Biol Med (2011) 0.91

Factors affecting clinical and endoscopic efficacies of selective leucocytapheresis for ulcerative colitis. Dig Liver Dis (2007) 0.90

Prediction of effect of pegylated interferon alpha-2b plus ribavirin combination therapy in patients with chronic hepatitis C infection. PLoS One (2011) 0.83

Prediction of cirrhosis in patients with chronic hepatitis C infection by artificial neural network analysis of virus and clinical factors. J Viral Hepat (1998) 0.83

Creation of a tablet database containing several active ingredients and prediction of their pharmaceutical characteristics based on ensemble artificial neural networks. J Pharm Sci (2010) 0.83

Prediction of survival and complications after percutaneous endoscopic gastrostomy in an individual by using clinical factors with an artificial neural network system. Eur J Gastroenterol Hepatol (2009) 0.80

Long-term prognosis of patients with ulcerative colitis treated with cytapheresis therapy. J Crohns Colitis (2012) 0.80

Mortality risk prediction in burn injury: Comparison of logistic regression with machine learning approaches. Burns (2015) 0.78

Application of an artificial neural network model for selection of potential lung cancer biomarkers. J Breath Res (2015) 0.78

The use of artificial neural network in gastroenterology: the experience of the first 10 years. Eur J Gastroenterol Hepatol (2007) 0.78

Post-operative bleeding risk stratification in cardiac pulmonary bypass patients using artificial neural network. Ann Clin Lab Sci (2015) 0.77

Applying a novel combination of techniques to develop a predictive model for diabetes complications. PLoS One (2015) 0.76