KNOWLEDGEBUTTONS IN HEALTH SYSTEMS

무하마드아프잘 ( Muhammad Afzal ),막불후세인 ( Maqbool Hussain ),와자하트알리칸 ( Wajahat Ali Khan ),탁디르알 ( Taqdir Ali ),이승룡 ( Sungyoung Lee ),정태충 ( Tae Choong Chung ) 한국정보처리학회 2013 한국정보처리학회 학술대회논문집 Vol.20 No.1

Infobutton is an important concept from long time in use and much has been done with respect to its standardization and context supplementation. The concept is to create contextual links to information resources from within the information systems usually health information systems. The need which has been realized by the authors of this paper is the augmentation of Infobuttons from the level of only information links to the level of knowledge links. The authors proposed the concept of knowledge links named as “Knowledgebuttons” which complements the concept Infobuttons. It adds further capabilities of getting knowledge to the users instead of just connectivity to information resources. The better representation of the information retrieved with Infobuttons is the first and foundation step to achieve the goal of getting knowledge. This paper discusses about the concept and applicability of Knowledgebuttons in health information systems. It is envisioned that this concept will add to the overall quality of patient care. Both physicians and patients can benefit from this technique as per their needs. Physicians can help in patient diagnosis and treatment critical decisions while patients can educate them to know more about their health conditions by studying the right knowledge at right time. Knowledgebuttons are able to create a true learning environment for the users while using health information systems.

임상 의사 결정에서 온라인 지식 자원의 역할

무하마드아프잘 ( Muhammad Afzal ),마크불후세인 ( Maqbool Hussain ),와자하트알리칸 ( Wajahat Ali Khan ),탁디르알 ( Taqdir Ali ),이승룡 ( Sungyoung Lee ) 한국정보처리학회 2012 한국정보처리학회 학술대회논문집 Vol.19 No.2

The need of Clinical Decision Support System (CDSS) in healthcare setup is increasing day by day. EHR Meaningful Use advocates CDSS as an important component of EHR/EMR systems. CDSS can be ranged from a simple to a very sophisticated system. The more complex CDSS systems need more attention to develop because of many reasons including its Knowledge Base (KB) structure/maintenance/evolution, inference capabilities and usability. Above all the KB maintenance and evolution is very crucial and important from the perspective of useful decision capabilities. Also the richness of the KB is important to cover the decision gaps handling a particular situation in the course of patient care. It cannot be expected from the clinicians to remember everything in regard to patient diagnosis and treatment. Similarly, it is also crucial for clinicians to keep themselves updated with the new research in the area. That is the reason they frequently require accessing to the online knowledge resources. Literature proved that online knowledge resources are capable providing answers to questions that might not be answered rely only on clinician wisdom and experience. This paper provides the theme of meaningful utilization of online knowledge resources in the context of diagnosis and treatment process for cancer patients more specifically Head and Neck cancer.

상호교류 헬스케어시스템을 위한 사용자정의 온톨로지 매핑

와자하트알리칸 ( Wajahat Ali Khan ),마크불후세인 ( Maqbool Hussain ),무하마드아프잘 ( Muhammad Afzal ),이승룡 ( Sungyoung Lee ),정태충 ( Tae Choong Chung ) 한국정보처리학회 2013 한국정보처리학회 학술대회논문집 Vol.20 No.1

Accuracy of mappings is the key for achieving true interoperability among different healthcare systems. The initial step towards interoperable healthcare systems is compliancy with healthcare standards (HL7, openEHR, CEN 13606). Ontologies for these standards are developed that require ontology matching to generate generalized ontology mappings. Organizations conform to specific concepts of different standards based on their requirements. This step is called as conformance claims and is based on Personalized-Detailed Clinical Model. It invalidates some of the generalized mappings because of non-conformed concepts and leads to the necessity of the proposed technique of customized ontology mappings. These customized ontology mappings compliment the generalized ontology mapping to increase the level of accuracy of mappings and thus achieving data interoperability. The proposed system ensures quality of care to patients by timely delivery of healthcare information.

만성 질병환자를 위한 CDSS 를 적용한 PHR 시스템

마크불후세인 ( Maqbool Hussain ),와자하트알리칸 ( Wajahat Ali Khan ),무하마드아프잘 ( Muhammad Afzal ),탁디르알리 ( Taqdir Ali ),이승룡 ( Sungyoung Lee ) 한국정보처리학회 2012 한국정보처리학회 학술대회논문집 Vol.19 No.2

With the advance of Information Technology (IT) and dynamic requirements, diverse application services have been provided for end users. With huge volume of these services and information, users are required to acquire customized services that provide personalized information and decision at particular extent of time. The case is more appealing in healthcare, where patients wish to have access to their medical record where they have control and provided with recommendation on the medical information. PHR (Personal Health Record) is most prevailing initiative that gives secure access on patient record at anytime and anywhere. PHR should also incorporate decision support to help patients in self-management of their diseases. Available PHR system incorporates basic recommendations based on patient routine data. We have proposed decision support service called “Smart CDSS” that provides recommendations on PHR data for diabetic patients. Smart CDSS follows HL7 vMR (Virtual Medical Record) to help in integration with diverse application including PHR. PHR shares patient data with Smart CDSS through standard interfaces that pass through Adaptability Engine (AE). AE transforms the PHR CCR/CCD (Continuity of Care Record/Document) into standard HL7 vMR format. Smart CDSS produces recommendation on PHR datasets based on diabetic knowledge base represented in shareable HL7 Arden Syntax format. The Smart CDSS service is deployed on public cloud over MS Azure environment and PHR is maintaining on private cloud. The system has been evaluated for recommendation for 100 diabetic patients from Saint’s Mary Hospital. The recommendations were compared with physicians’ guidelines which complement the self-management of the patient.

Optimal design of a sparse planar array sensor for underwater vehicles

무하마드 샤킬 아프잘,노용래,Afzal, Muhammad Shakeel,Roh, Yongrae The Acoustical Society of Korea 2018 韓國音響學會誌 Vol.37 No.1

In this study, a new design method is developed to optimize the structure of an underwater sparse array sensor. The purpose of this research is to design the structure of a sparse array that has the performance equivalent to a fully sampled array. The directional factor of a sparse planar array is derived as a function of the structural parameters of the array. With the derived equation, the structure of the sparse array sensor is designed to have the performance equivalent to that of the fully array sensor through structural optimization of the number and location of transmitting and receiving elements in the array. The designed sparse array sensor shows beam patterns very close to those of the fully array sensor in terms of PSLL (Peak Side Lobe Level) and MLBW (Main Lobe Beam Width), which confirms the effectiveness of the present optimal design method. Further, the validity of the analytic beam patterns is verified by comparing them with those from the FEA (Finite Element Analysis) of the optimized sparse array structure. 본 연구에서는 수중 희소배열 센서의 구조를 최적설계하기 위한 새로운 방안을 개발하였다. 본 연구의 목적은 전체 배열센서와 대등한 성능을 가지는 희소 배열센서의 구조를 설계하는 것이다. 우선 희소 평면배열 센서의 지향계수를 배열 구조변수들의 함수로 유도하였다. 유도된 식을 사용하여 희소 배열센서 구성 소자의 개수와 위치를 최적화함으로써 그 성능이 전체 배열 센서의 성능과 대등하도록 희소배열 센서의 구조를 설계하였다. 설계된 희소 배열센서는 최대 부엽 레벨과 주엽의 빔폭 면에서 전체 배열 센서와 대등한 빔 패턴을 보였는데, 이로써 본 연구의 최적설계 기법의 효용성이 확인되었다. 나아가 수식에 의한 빔 패턴 해석 결과의 타당성은 최적화된 희소배열 구조에 대한 유한요소해석 결과와 비교함으로써 검증하였다.

Facebook Activities and Mental Illness

Jamil Hussain(자밀 후세인),Muhammad Afzal(무하마드 아프잘),Maqbool Hussain(막불 후세인),Wajahat Ali Khan(와자핫 알리 칸),Sungyoung Lee(이승룡) 한국정보과학회 2014 한국정보과학회 학술발표논문집 Vol.2014 No.6