Behavioral Risk Factor Surveillance System

아스피린은 심혈관계 질환의 위험이 있는 당뇨병환자들에게 심혈관계 질환의 일차예방 및 이차예방을 위해 필요하다. 본 연구는 미국의 당뇨병 환자들 가운데서 아스피린의 사용자수를 파악하고 아스피린 사용과 관련된 요인을 발견하는 것이 목적이다.
연구방법으로는1999년 Behavioral Risk Factor Surveillance System(BRFSS) 이 연구자료로 사용되었다. 17개 주만이 당뇨병과 심혈관계 질환에 관한 자료를 가지고 있어 이들 17개 주만 표본에 포함되었고, 17개주의 모든 관찰자가 분석에 사용되었다. 건강행태와 관한 앤더슨 모델이 수정되어 분석모형으로 사용되었으며, 가중치를 사용한 로지스틱 분석으로 아스피린의 사용과 관련되어 있는 요인들을 분석하였다.
연구결과 당뇨병 환자들 가운데 14.75%만이 심혈관계 질환의 예방목적으로 아스피린을 사용한 반면, 당뇨병을 갖고 있지 않은 사람들의 14. 67%가 심혈관계 질환의 예방목적으로 아스피린을 사용하여 당뇨병 환자들과 차이가 없었다. 당뇨병 환자들 가운데 7 1세 이상 노인, 남자, 대학졸업자, 콜레스테롤이 높은 자, 매일 흡연자, 음주자, 비만자, 심근경색이나 관상동맥질환을 앓은 적이 있는 자, $14,999이하의 저소득계층, 무보험자와 같은 특성을 가진 사람들이 심혈관계 질환의 예방을 위한 아스피린 사용이 적었다.
결론적으로 대부분의 당뇨병 환자는 심혈관계 질환을 앓을 위험요인을 가지고 있다. 그럼에도 불구하고 당뇨병 환자들의 아스피린 사용률은 매우 낮았다. 당뇨병 환자들의 심혈관 질환 예방 목적의 아스피린 사용을 촉진하기 위해서는 의사 및 아스피린 사용률이 상대적으로 낮은 당뇨병 환자들을 대상으로 한 교육이 매우 필요하다.

/pdf/1999nyeon-behavioral-risk-factor-surveillance-system-euro-kww7lys7oz.pdf

1999년 Behavioral Risk Factor Surveillance System 으로 측정한 당뇨병 환자들의 아스피린 사용

Febrile neutropenia (FN) is one of the most concerning complications of chemotherapy, and its prediction remains difficult. This study aimed to reveal the risk factors for and build the prediction models of FN using machine learning algorithms. Medical records of hospitalized patients who underwent chemotherapy after surgery for breast cancer between May 2002 and September 2018 were selectively reviewed for development of models. Demographic, clinical, pathological, and therapeutic data were analyzed to identify risk factors for FN. Using machine learning algorithms, prediction models were developed and evaluated for performance. Of 933 selected inpatients with a mean age of 51.8 ± 10.7 years, FN developed in 409 (43.8%) patients. There was a significant difference in FN incidence according to age, staging, taxane-based regimen, and blood count 5 days after chemotherapy. The area under the curve (AUC) built based on these findings was 0.870 on the basis of logistic regression. The AUC improved by machine learning was 0.908. Machine learning improves the prediction of FN in patients undergoing chemotherapy for breast cancer compared to the conventional statistical model. In these high-risk patients, primary prophylaxis with granulocyte colony-stimulating factor could be considered.

/pdf/machine-learning-improves-the-prediction-of-febrile-22ng8p16in.pdf

Machine learning improves the prediction of febrile neutropenia in Korean inpatients undergoing chemotherapy for breast cancer.

4 Introduction 5 Literature Review 6 Anatomy of the ACL 6 Biomechanics of the ACL 9 Risk Factors for ACL Injury 10 Prevention Strategies 14 Materials and Methods 16 Results 18 Discussion 22 Preventing ACL Injury 25 Limitations 27 Conclusion 28 References 30 Appendix I 40

/pdf/acl-injuries-in-montgomery-county-oh-moving-toward-the-4qm0msnx1p.pdf

ACL Injuries in Montgomery County, OH: Moving toward the Development of a Prediction Model

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Kelly Estes

Author Tools

Chat about Author

Papers

ACL Injuries in Montgomery County, OH: Moving toward the Development of a Prediction Model