Geri Dön

Klinik bilginin nesne temelli yaklaşımla modellenmesi

Modelling of clinical information using object oriented approach

PDF İndir

  1. Tez No: 242152
  2. Yazar: NİHAL DİZDAR
  3. Danışmanlar: YRD. DOÇ. DR. NEŞE ZAYİM
  4. Tez Türü: Yüksek Lisans
  5. Konular: Biyoistatistik, Biostatistics
  6. Anahtar Kelimeler: Belirtilmemiş.
  7. Yıl: 2009
  8. Dil: Türkçe
  9. Üniversite: Akdeniz Üniversitesi
  10. Enstitü: Sağlık Bilimleri Enstitüsü
  11. Ana Bilim Dalı: Biyoistatistik ve Tıbbi Bilişim Ana Bilim Dalı
  12. Bilim Dalı: Belirtilmemiş.
  13. Sayfa Sayısı: 196

Özet

Access to medical information by health professionals during medical care has critical importance for quality of medical care and administration of health institutions. Clinical data must be reliable and updated and accessible in a short time when required. Design and usage of clinical information systems have been remained insufficient and their dissemination is very limited when compared to financial and administrative medical systems. The main reasons of this situation are complexity of medical data and failure to recognize this complexity. Present clinical information systems usually collects data by unstructured data entry interfaces, free text based entries, and they do not have hierarchical structure. Thus, the stored data is difficult to be queried, reproduced, and converted to information. There is no structured, modelled clinical data set in Turkish. In this study, the aim is to develop a model design for clinical data and to develop a clinical oncologic data model including its subdomains of chemotherapy and radiotherapy. Oncologic domain data was analysed by object oriented approach and clinical data modelling has been performed. The model is documented using OpenSDE modelling editor. Clinical oncology domain data set which was produced in this study is expected to be an example for data modelling in other clinical domains and to assist the design of clinical information systems.

Özet (Çeviri)

Access to medical information by health professionals during medical care has critical importance for quality of medical care and administration of health institutions. Clinical data must be reliable and updated and accessible in a short time when required. Design and usage of clinical information systems have been remained insufficient and their dissemination is very limited when compared to financial and administrative medical systems. The main reasons of this situation are complexity of medical data and failure to recognize this complexity. Present clinical information systems usually collects data by unstructured data entry interfaces, free text based entries, and they do not have hierarchical structure. Thus, the stored data is difficult to be queried, reproduced, and converted to information. There is no structured, modelled clinical data set in Turkish. In this study, the aim is to develop a model design for clinical data and to develop a clinical oncologic data model including its subdomains of chemotherapy and radiotherapy. Oncologic domain data was analysed by object oriented approach and clinical data modelling has been performed. The model is documented using OpenSDE modelling editor. Clinical oncology domain data set which was produced in this study is expected to be an example for data modelling in other clinical domains and to assist the design of clinical information systems.

Benzer Tezler

  1. Tez No

    497708

    Trans kadın ve trans erkek bireylerde nesne ilişkileri niteliği, kişilik örgütlenme düzeyi, bağlanma biçimi, başa çıkma yöntemleri ve yaşam kalitesinin değerlendirilmesi

    Evaluation of quality of object relation, personality organization level, attachment styles, coping strategies and quality of life in trans women and trans men

    AYŞE NUR OĞUZ

    Tıpta Uzmanlık

    Türkçe

    Türkçe

    2018

    PsikiyatriSağlık Bilimleri Üniversitesi

    Psikiyatri Ana Bilim Dalı

    DOÇ. DR. ENGİN EMREM BEŞTEPE

  2. Tez No

    731380

    Automated estimation of the prostate volume from abdominal ultrasound images

    Abdomınal ultrason görüntülerinden prostat büyüklüğünün otomatik ölçümü

    NUR BANU ALBAYRAK

    Doktora

    İngilizce

    İngilizce

    2022

    Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve KontrolGebze Teknik Üniversitesi

    Bilgisayar Mühendisliği Ana Bilim Dalı

    PROF. DR. YUSUF SİNAN AKGÜL

  3. Tez No

    768890

    A hybrid deep learning metaheuristic model for diagnosis of diabetic retinopathy

    Diyabetik retinopatinin tanısı için hibrit bir derin öğrenme meta-sezgisel modeli

    ÖMER FARUK GÜRCAN

    Doktora

    İngilizce

    İngilizce

    2022

    Endüstri ve Endüstri Mühendisliğiİstanbul Teknik Üniversitesi

    Endüstri Mühendisliği Ana Bilim Dalı

    DR. ÖĞR. ÜYESİ ÖMER FARUK BEYCA

  4. Tez No

    306819

    Automatic registration of medical image volumes of different modalities

    Farkli modalitelerdeki hacimsel medikal goruntulerin otomatik cakistirilmasi

    UMUT DENİZ

    Doktora

    İngilizce

    İngilizce

    2011

    Elektrik ve Elektronik MühendisliğiDokuz Eylül Üniversitesi

    Elektrik-Elektronik Mühendisliği Ana Bilim Dalı

    YRD. DOÇ. DR. HALDUN SARNEL

  5. Tez No

    338481

    An extensible security infrastructure for the secondary use of electronic health records in clinical research

    Elektronik sağlık kayıtlarının klinik araştırmalarda ikincil kullanımı için genişletilebilir güvenlik altyapısı

    ELİF ERYILMAZ

    Yüksek Lisans

    İngilizce

    İngilizce

    2013

    Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve KontrolOrta Doğu Teknik Üniversitesi

    Bilgisayar Mühendisliği Ana Bilim Dalı

    PROF. DR. İSMAİL HAKKI TOROSLU

Geri Dön