Software Application for Data Collection and Analysis in Acute Myeloid Leukemia

Aim: It is important in the context of the informatics development and also of medical research, that new software technology to be integrated in order to achieve easier research. The aim of this study was to develop a software application that uses few resources, and that enable data collection, th...

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Main Authors: Anca BACÂREA, Bogdan Adnan HAIFA, Marius MUJI, Alexandru ŞCHIOPU
Format: Article
Language:English
Published: Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca 2011-03-01
Series:Applied Medical Informatics
Subjects:
Online Access:http://ami.info.umfcluj.ro/index.php/AMI/article/view/59/37
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spelling doaj-395f3c2c307a42fa803812a446ce1ca22020-11-25T02:35:19ZengIuliu Hatieganu University of Medicine and Pharmacy, Cluj-NapocaApplied Medical Informatics1224-55932011-03-012811622Software Application for Data Collection and Analysis in Acute Myeloid LeukemiaAnca BACÂREABogdan Adnan HAIFAMarius MUJIAlexandru ŞCHIOPUAim: It is important in the context of the informatics development and also of medical research, that new software technology to be integrated in order to achieve easier research. The aim of this study was to develop a software application that uses few resources, and that enable data collection, their primary processing in statistical terms (e.g. mean, median, etc.), drawing of survival curves and survival Log Rank statistic testing according to the collected parameters. Material and Method: For this purpose, a database in SQLite3 was developed. Because the database engine is embedded in the Database Management System (DBMS) this program allows absolute portability. Graphical interface was made in wxWidgets. Statistical calculations were obtained using R software (the `addons` E1071 was used for descriptive statistics and the `Survival `for testing survival and Northest for Kaplan Meier survival curve). Patients were cases admitted and treated in the Hematology Department of County Emergency Hospital Tîrgu Mureş hospitalized and treated during 2007-2010. Results: We created a GUI in wxWidgets to collect the desired medical data: age, date of diagnosis, date of death, blood count values, and the CD leukocyte markers detected by flow cytometry. Entwining of medical data collection and processing statistics (for acute myeloid leukemia - survival, prognostic factors evaluation) is a further step in medical research. Conclusion: The tool presented is a useful for research. Application in acute myeloid leukemia derives from the author's interest in the subject; development of this tool in other directions is possible and desirable.http://ami.info.umfcluj.ro/index.php/AMI/article/view/59/37Acute myeloid leukaemiaDatabaseSurvival.
collection DOAJ
language English
format Article
sources DOAJ
author Anca BACÂREA
Bogdan Adnan HAIFA
Marius MUJI
Alexandru ŞCHIOPU
spellingShingle Anca BACÂREA
Bogdan Adnan HAIFA
Marius MUJI
Alexandru ŞCHIOPU
Software Application for Data Collection and Analysis in Acute Myeloid Leukemia
Applied Medical Informatics
Acute myeloid leukaemia
Database
Survival.
author_facet Anca BACÂREA
Bogdan Adnan HAIFA
Marius MUJI
Alexandru ŞCHIOPU
author_sort Anca BACÂREA
title Software Application for Data Collection and Analysis in Acute Myeloid Leukemia
title_short Software Application for Data Collection and Analysis in Acute Myeloid Leukemia
title_full Software Application for Data Collection and Analysis in Acute Myeloid Leukemia
title_fullStr Software Application for Data Collection and Analysis in Acute Myeloid Leukemia
title_full_unstemmed Software Application for Data Collection and Analysis in Acute Myeloid Leukemia
title_sort software application for data collection and analysis in acute myeloid leukemia
publisher Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca
series Applied Medical Informatics
issn 1224-5593
publishDate 2011-03-01
description Aim: It is important in the context of the informatics development and also of medical research, that new software technology to be integrated in order to achieve easier research. The aim of this study was to develop a software application that uses few resources, and that enable data collection, their primary processing in statistical terms (e.g. mean, median, etc.), drawing of survival curves and survival Log Rank statistic testing according to the collected parameters. Material and Method: For this purpose, a database in SQLite3 was developed. Because the database engine is embedded in the Database Management System (DBMS) this program allows absolute portability. Graphical interface was made in wxWidgets. Statistical calculations were obtained using R software (the `addons` E1071 was used for descriptive statistics and the `Survival `for testing survival and Northest for Kaplan Meier survival curve). Patients were cases admitted and treated in the Hematology Department of County Emergency Hospital Tîrgu Mureş hospitalized and treated during 2007-2010. Results: We created a GUI in wxWidgets to collect the desired medical data: age, date of diagnosis, date of death, blood count values, and the CD leukocyte markers detected by flow cytometry. Entwining of medical data collection and processing statistics (for acute myeloid leukemia - survival, prognostic factors evaluation) is a further step in medical research. Conclusion: The tool presented is a useful for research. Application in acute myeloid leukemia derives from the author's interest in the subject; development of this tool in other directions is possible and desirable.
topic Acute myeloid leukaemia
Database
Survival.
url http://ami.info.umfcluj.ro/index.php/AMI/article/view/59/37
work_keys_str_mv AT ancabacarea softwareapplicationfordatacollectionandanalysisinacutemyeloidleukemia
AT bogdanadnanhaifa softwareapplicationfordatacollectionandanalysisinacutemyeloidleukemia
AT mariusmuji softwareapplicationfordatacollectionandanalysisinacutemyeloidleukemia
AT alexandruschiopu softwareapplicationfordatacollectionandanalysisinacutemyeloidleukemia
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