ICD 10 Based Medical Expert System Using Fuzzy Temporal Logic
Anna University（安娜大学）；CEG（CEG（工程学院，College of Engineering Guindy））；Centre for Medical Electronics（医学电子中心）
P. Chinniah, Dr. S. Muttan
备注：
6 pages IEEE format, International Journal of Computer Science and Information Security, IJCSIS December 2009, ISSN 1947 5500, http://sites.google.com/site/ijcsis/
发表信息：
International Journal of Computer Science and Information Security, IJCSIS, Vol. 6, No. 3, pp. 084-089, December 2009, USA
Medical diagnosis process involves many levels and considerable amount of time and money are invariably spent for the first level of diagnosis usually made by the physician for all the patients every time. Hence there is a need for a computer based system which not only asks relevant questions to the patients but also aids the physician by giving a set of possible diseases from the symptoms obtained using logic at inference. In this work, an ICD10 based Medical Expert System that provides advice, information and recommendation to the physician using fuzzy temporal logic. The knowledge base used in this system consists of facts of symptoms and rules on diseases. It also provides fuzzy severity scale and weight factor for symptom and disease and can vary with respect to time. The system generates the possible disease conditions based on modified Euclidean metric using Elders algorithm for effective clustering. The minimum similarity value is used as the decision parameter to identify a disease.
HieNet: Bidirectional Hierarchy Framework for Automated ICD Coding
National Computer Network Emergency Response Technical Team/Coordination Center of China（国家计算机网络应急技术处理协调中心）；Technical University of Denmark（丹麦技术大学）；Huazhong University of Science and Technology（华中科技大学）；University of Luxembourg（卢森堡大学）
A General Knowledge Injection Framework for ICD Coding
School of Biomedical Engineering, Division of Life Sciences and Medicine, USTC（生物医学工程学院，生命科学与医学系，中国科学技术大学）；MIRACLE Center, Suzhou Institute for Advance Research, USTC（MIRACLE中心，苏州先进研究院，中国科学技术大学）；Jiangsu Provincial Key Laboratory of Multimodal Digital Twin Technology（江苏省多模态数字孪生技术重点实验室）；State Key Laboratory of Precision and Intelligent Chemistry, USTC（精密与智能化学国家重点实验室）
First Order Logic with Fuzzy Semantics for Describing and Recognizing Nerves in Medical Images
Sorbonne Université（索邦大学）；SCAI；Institut Polytechnique de Paris（巴黎高等理工学院）；Institut Imagine（Imagine研究所）；Ligue contre le Cancer（癌症防治联盟）；Télécom Paris（巴黎电信学院）；LTCI；Université Paris Cité（巴黎城市大学）；Hôpital Necker Enfants-Malades, APHP（Necker儿童医院，法国国家卫生研究院）
KREL: Automatic Medical Coding via Knowledge-Guided Reasoning over Clinical Evidence with LLMs
The University of New South Wales（新南威尔士大学）；University of Göttingen（哥廷根大学）；Macquarie University（麦考瑞大学）；Beijing Intelligent Decision Medical Technology Co. Ltd（北京智决医疗科技有限公司）
A Matrix-based Distance of Pythagorean Fuzzy Set and its Application in Medical Diagnosis
Key Laboratory of High Confidence Software Technologies (Peking University)（高可信软件技术重点实验室（北京大学））；School of Computer Science, Peking University（北京大学计算机学院）；University of Macau（澳门大学）
GAFR-Net: A Graph Attention and Fuzzy-Rule Network for Interpretable Breast Cancer Image Classification
1 Department of IT Engineering, Mokwon University, Daejeon 35349, South Korea；2 School of Digital Arts, Jiangxi Arts \& Ceramics Technology Institute, Jingdezhen 333001, China
SMR: Medical Knowledge Graph Embedding for Safe Medicine Recommendation
Shanghai Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine（上海中医药大学附属曙光医院）；Southeast University（东南大学）；Tongji University（同济大学）；The University of Queensland（昆士兰大学）；Xi’an Jiaotong University（西安交通大学）
An Uncertainty-Aware Loss Function Incorporating Fuzzy Logic: Application to MRI Brain Image Segmentation
Department of Mathematics, Bareilly College, Bareilly (MJP Rohilkhand University), Uttar Pradesh（巴里利学院数学系，巴里利（MJP罗希尔坎德大学），乌塔尔 Pradesh）；CSIR-Central Electronics Engineering Research Institute, Pilani, Rajasthan（CSIR-中央电子工程研究机构，比兰蒂，拉贾斯坦）；CICMR, Regional Medical Research Center, Dibrugarh, India（CICMR，迪布格尔中心医学研究中心，印度）；Department of Statistics, Bareilly College, Bareilly, Uttar Pradesh（巴里利学院统计系，巴里利，乌塔尔 Pradesh）
