لنگری زاده, مصطفی
دانشگاه علوم پزشکی ایران
[ 1 ] - تشخیص آپاندیسیت حاد در کودکان با استفاده از شبکه های عصبی مصنوعی
Introduction: Acute appendicitis is one of the most common causes of emergency surgery especially in children. Proper and on-time diagnosis may decrease the unwanted complications. In despite of diagnostic methods, a significant number of patients yet and up with negative laparotomies. The aim of this study was to assess the role of artificial neural networks in diagnosis of acute appendicitis ...
[ 2 ] - طراحی سیستم تصمیم‌یار پایش علائم حیاتی بیماران بستری در بخش مراقبت‌های ویژه قلبی
Introduction: Big volume of patient’s medical data is one of the medical error reasons in coronary care unit (CCU). The purpose of this study was the designing a system that can monitored the patient’s vital sign continuously and when there are abnormal, producing alarms and proposed appropriate medical interventions according to the patient’s conditions in CCU. Metho...
[ 3 ] - تعیین دوز وارفارین در بیماران بزرگسال ایرانی دارای دریچه مصنوعی قلب با استفاده از شبکه عصبی مصنوعی
Background and Aim: Artificial intelligence is a branch of computer science that has the ability of analyzing complex medical data. Using artificial intelligence is common in diagnosing, treating and taking care of patients. Warfarin is one of the most commonly prescribed oral anticoagulants. Determining the exact dose of warfarin needed for patients is one of the major challenges in the health...
[ 4 ] - تشخیص مسمومیت حاملگی با استفاده از سیستم خبره: مطالعه موردی در بیمارستان‌های دانشگاه علوم پزشکی تهران
Background and Aim: Diagnosis of preeclampsia has an essential role in applying appropriate treatment plan for the patients. The aim of this study was to design an expert system in order to diagnos preeclampsia in order to assist the clinicians. Materials and Methods: This was a cross-sectional study which resulted in developing a new system. The study population consisted of all patients ad...
[ 5 ] - کاربرد داده کاوی در بیماران مبتلا به بیماری آسم
Background and Aim: Data mining is a very important branch in deeper understanding of medical data, which attempts to solve problems in the diagnosis and treatment of diseases. One of the most important data mining applications is to examine the existing data patterns. The present study aims to examine the existing data patterns of patients with asthma. Materials and Methods: This study wa...
[ 6 ] - تعیین فشردگی بافت سینه با استفاده از منطق فازی
Background and Aim: The risk of breast cancer increases directly in line with breast density. Therefore, it is important to pay more attention to denser breasts in order to detect abnormalities. The aim of this paper was to design and suggest a quantitative method to categorize breast density in digital mammogram images using fuzzy logic. Materials and Methods: This was a crosectional study w...
[ 7 ] - Designing Master Curriculum of Nursing Informatics in Iran
Introduction: In recent decades, nursing education is developing and expanding rapidly as a part of higher education system around the world. Despite tremendous advances in medical sciences in Iran, nursing informatics is still in its early years. Starting this field is necessary for nursing services. It can be used in educational, research, clinical and managerial issues. This study aimed at d...
[ 8 ] - Development of Managerial Key Performance Indicators for A Hospital Pharmacy Digital Dashboard
Pharmaceutical performance is a critical factor in the hospital operation. Hospital pharmacyactivities require retrieving, processing, comparing, and updating the information. Dashboards arenew tools that can track key performance indicators by displaying information to managers in orderto improve the performance of the hospital pharmacy. We conducted this study to determine t...
[ 9 ] - Development of Managerial Key Performance Indicators for A Hospital Pharmacy Digital Dashboard
Pharmaceutical performance is a critical factor in the hospital operation. Hospital pharmacyactivities require retrieving, processing, comparing, and updating the information. Dashboards arenew tools that can track key performance indicators by displaying information to managers in orderto improve the performance of the hospital pharmacy. We conducted this study to determine t...
[ 10 ] - A Minimum Data Set of Educational Self-care Software for Patients with Cirrhosis
Introduction: Liver cirrhosis has grown significantly in Asian countries over the last few years. However, there is no tool for collecting liver cirrhosis data. The purpose of this study was to design a minimum data set for the self-care education of liver cirrhosis. Methods: This descriptive study was conducted in the first half of 2018 in cooperation with 16 liver specialists of Rasool Akram ...
[ 11 ] - A Minimum Data Set of Educational Self-care Software for Patients with Cirrhosis
Introduction: Liver cirrhosis has grown significantly in Asian countries over the last few years. However, there is no tool for collecting liver cirrhosis data. The purpose of this study was to design a minimum data set for the self-care education of liver cirrhosis. Methods: This descriptive study was conducted in the first half of 2018 in cooperation with 16 liver specialists of Rasool Akram ...
[ 12 ] - Developing an Application for Screening and Determining Severity of Autism Spectrum Disorder in Primary Health Care Centers
Introduction: Autism Spectrum Disorder is a set of neurodevelopmental disorders that affects not only the child but also the entire family. The disorder is diagnosed by observing the child's behaviors and activities. Timely screening and determining severity improve the child's abilities. The main purpose of this study was to develop an application for screening and determining severity of auti...
[ 13 ] - Developing an Application for Screening and Determining Severity of Autism Spectrum Disorder in Primary Health Care Centers
Introduction: Autism Spectrum Disorder is a set of neurodevelopmental disorders that affects not only the child but also the entire family. The disorder is diagnosed by observing the child's behaviors and activities. Timely screening and determining severity improve the child's abilities. The main purpose of this study was to develop an application for screening and determining severity of auti...
[ 14 ] - Design and Development of an Educational Mobile Application for Autism Spectrum Disorder
Introduction: Autism is one of the most common neurodevelopmental disorders that is diagnosed late due to parentschr('39') unfamiliarity with the disorder. Lack of knowledge of parents is one of the major problems of this disorder. The objective of this study was to develop an educational smartphone-based application for autism spectrum disorder specific for parents. Method: This study was an a...
[ 15 ] - Design and Development of an Educational Mobile Application for Autism Spectrum Disorder
Introduction: Autism is one of the most common neurodevelopmental disorders that is diagnosed late due to parentschr('39') unfamiliarity with the disorder. Lack of knowledge of parents is one of the major problems of this disorder. The objective of this study was to develop an educational smartphone-based application for autism spectrum disorder specific for parents. Method: This study was an a...
[ 16 ] - Designing and Developing a Self-Care Application for Post-Laryngectomy Surgery
Introduction: Laryngectomy is the only known treatment for laryngeal cancer. The objective of this study was to design and develop a self-care application for patients undergoing laryngeal resection surgery. Method: This study was an applied-developmental one conducted in two stages. The first stage included assessing the need for data elements using questionnaire by 14 ear, nose, and throat (...
[ 17 ] - Designing and Developing a Self-Care Application for Post-Laryngectomy Surgery
Introduction: Laryngectomy is the only known treatment for laryngeal cancer. The objective of this study was to design and develop a self-care application for patients undergoing laryngeal resection surgery. Method: This study was an applied-developmental one conducted in two stages. The first stage included assessing the need for data elements using questionnaire by 14 ear, nose, and throat (...
[ 18 ] - Myocardial fibrosis delineation in late gadolinium enhancement images of Hypertrophic Cardiomyopathy patients using deep learning methods
Introduction: Accurate delineation of myocardial fibrosis in Late Gadolinium Enhancement on Cardiac Magnetic Resonance (LGE-CMR) has a crucial role in the assessment and risk stratification of HCM patients. As this is time-consuming and requires expertise, automation can be essential in accelerating this process. This study aims to use Unet-based deep learning methods to automate the mentioned ...
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