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Updated: May 12, 2026

A Simple and Efficient Method to Detect Nuclear Factor Activation in Human Neutrophils by Flow Cytometry
08:26

A Simple and Efficient Method to Detect Nuclear Factor Activation in Human Neutrophils by Flow Cytometry

Published on: April 9, 2013

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验证用于识别发烧性中性质疏松症患者的算法:在日本使用真实数据的流行病学研究

Kazuhiro Ishikawa1,2, Nobuyoshi Mori3, Kiyohide Fushimi4

  • 1Department of Infectious Diseases, St. Luke's International Hospital, Tokyo, Japan. ishikawakazuhiro@gmail.com.

International journal of hematology
|August 15, 2025
PubMed
概括

这项研究开发了一种算法,使用行政数据识别患有血液性恶性瘤的患者的发烧性中性不良症 (FN). 该算法有助于理解FN流行病学和改善患者护理策略.

关键词:
诊断程序的组合诊断程序的组合发烧性中性质衰减症的发生.血液学的恶性瘤.验证研究的验证研究.

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Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions08:31

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Published on: December 1, 2020

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Standardization of Transfer across Labs between Flow Cytometers for Detection of Lymphocytes in Japanese Encephalitis Vaccinated Children06:22

Standardization of Transfer across Labs between Flow Cytometers for Detection of Lymphocytes in Japanese Encephalitis Vaccinated Children

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相关概念视频

Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods: