نتایج جستجو برای: data imbalance

تعداد نتایج: 2430091  

Journal: :Chemical & Engineering News Archive 1966

2017
Nico Dragano Johannes Siegrist Solja T. Nyberg Thorsten Lunau Eleonor I. Fransson Lars Alfredsson Jakob B. Bjorner Marianne Borritz Hermann Burr Raimund Erbel Göran Fahlén Marcel Goldberg Mark Hamer Katriina Heikkilä Karl-Heinz Jöckel Anders Knutsson Ida E. H. Madsen Martin L. Nielsen Maria Nordin Tuula Oksanen Jan H. Pejtersen Jaana Pentti Reiner Rugulies Paula Salo Jürgen Schupp Archana Singh-Manoux Andrew Steptoe Töres Theorell Jussi Vahtera Peter J. M. Westerholm Hugo Westerlund Marianna Virtanen Marie Zins G. David Batty Mika Kivimäki

BACKGROUND Epidemiologic evidence for work stress as a risk factor for coronary heart disease is mostly based on a single measure of stressful work known as job strain, a combination of high demands and low job control. We examined whether a complementary stress measure that assesses an imbalance between efforts spent at work and rewards received predicted coronary heart disease. METHODS This...

Journal: :Iranian journal of kidney diseases 2016
Salman Imtiaz Beena Salman Murtaza Fakhruddin Dhrolia Kiran Nasir Hasan Nasir Abbas Aasim Ahmad

INTRODUCTION Month of Ramadan bring many changes in life style, especially the diet of Muslims all over the world among both fasting and nonfasting individuals. Hemodialysis patients are kept on restricted diet because of fluid and electrolytes imbalance. The aim of this study was to compare changes in the clinical and biochemical parameters in fasting and nonfasting hemodialysis patients durin...

Journal: :emergency journal 0
saeed safari emergency department, shohadaye tajrish hospital, shahid beheshti university of medical sciences, tehran, iran iraj najafi department of nephrology, dr. shariati hospital, tehran university of medical sciences, tehran, iran mostafa hosseini department of epidemiology and biostatistics, school of public health, tehran university of medical sciences, tehran, iran alireza baratloo emergency department, shohadaye tajrish hospital, shahid beheshti university of medical sciences, tehran, iran mahmoud yousefifard department of physiology, school of medicine, tehran university of medical sciences, tehran, iran hamidreza mohammadi emergency department, shohadaye tajrish hospital, shahid beheshti university of medical sciences, tehran, iran

introduction: many of those who survive following an earthquake die in the next phase due to preventable and treatable medical conditions such as hyperkalemia. the present study aimed to evaluate the trend of potassium changes in crush syndrome patients of bam earthquake. methods: in this retrospective cross-sectional study, using the database of bam earthquake victims, which were developed by ...

2014
Mihran Naljayan Suresh Kumar Theodore Steinman Efrain Reisin

Electrolyte abnormalities are very common problems in clinical practice, and if chronic, their management can be difficult. Hypokalemia, defined as a serum potassium level <3.5 mmol/L, is an exceptionally common electrolyte abnormality encountered in clinical practice; >20% of hospitalized patients have been reported to have some degree of hypokalemia [1]. Hypomagnesemia is also common and has ...

Journal: :Resuscitation 2000

Electrolyte abnormalities are among the most common reasons for patients to develop cardiac arrhythmias. Of all the electrolyte abnormalities, hyperkalemia is most rapidly fatal. A high degree of clinical suspicion and aggressive treatment of underlying electrolyte abnormalities can prevent many patients from progressing to cardiac arrest.

2016
Mohit Kumar Garima Saini

Wireless communication is becoming very popular now a days. Worldwide Interoperability for Microwave Access (WiMAX) system in wireless communication plays an important role and has been attracting the researchers in the last decade. WiMAX system has provided anefficient solution for ‘last mile’ access technology to provide high data rate internet access for residential as well as small business...

2015
Zejin Ding ZEJIN DING YANQING ZHANG

In this dissertation, the problem of learning from highly imbalanced data is studied. Imbalance data learning is of great importance and challenge in many real applications. Dealing with a minority class normally needs new concepts, observations and solutions in order to fully understand the underlying complicated models. We try to systematically review and solve this special learning task in t...

2011
Shuo Wang

This thesis studies the diversity issue of classification ensembles for class imbalance learning problems. Class imbalance learning refers to learning from imbalanced data sets, in which some classes of examples (minority) are highly under-represented comparing to other classes (majority). The very skewed class distribution degrades the learning ability of many traditional machine learning meth...

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