%0 Journal Article %1 noauthororeditor %A Banjar, Haneen %D 2017 %J Health Informatics - An International Journal (HIIJ) %K health informatics %N 2 %P 21 %T PERSONALIZED MEDICINE SUPPORT SYSTEM: RESOLVING CONFLICT IN ALLOCATION TO RISK GROUPS AND PREDICTING PATIENT MOLECULAR RESPONSE TO TARGETED THERAPY %U https://aircconline.com/hiij/V6N2/6217hiij01.pdf %V 6 %X Treatment management in cancer patients is largely based on the use of a standardized set of predictive and prognostic factors.

@article{noauthororeditor, abstract = {Treatment management in cancer patients is largely based on the use of a standardized set of predictive and prognostic factors.}, added-at = {2024-11-07T11:57:56.000+0100}, author = {Banjar, Haneen}, biburl = {https://www.bibsonomy.org/bibtex/2efad0a4b1cc58e5b92c1b8eca6c469e0/jeffrenna}, interhash = {ff9d46ec88b4070c79d42cfc2bbd3f26}, intrahash = {efad0a4b1cc58e5b92c1b8eca6c469e0}, issn = {ISSN : 2319 - 2046 (Online); 2319 - 3190 (Print)}, journal = {Health Informatics - An International Journal (HIIJ) }, keywords = {health informatics}, language = {English}, month = may, number = 2, pages = 21, timestamp = {2024-11-07T11:57:56.000+0100}, title = {PERSONALIZED MEDICINE SUPPORT SYSTEM: RESOLVING CONFLICT IN ALLOCATION TO RISK GROUPS AND PREDICTING PATIENT MOLECULAR RESPONSE TO TARGETED THERAPY }, url = {https://aircconline.com/hiij/V6N2/6217hiij01.pdf}, volume = 6, year = 2017 }