A Medical Knowledge Based Postprocessing Approach for Doctor's Handwriting Recognition

2010 ◽  
Author(s):  
Qi Chen ◽  
Tianxia Gong ◽  
Linlin Li ◽  
Chew Lim Tan ◽  
Boon Chuan Pang
Keyword(s):  
Handwriting Recognition ◽  
Medical Knowledge ◽  
Knowledge Based

Knowledge-Based Induction of Clinical Prediction Rules

2011 ◽  
pp. 350-375
Author(s):  
Mila Kwiatkowska ◽  
M. Stella Atkins ◽  
Les Matthews ◽  
Najib T. Ayas ◽  
C. Frank Ryan
Keyword(s):  
Domain Knowledge ◽  
Medical Knowledge ◽  
Data Sets ◽  
Clinical Prediction ◽  
Clinical Prediction Rules ◽  
Prediction Rules ◽  
Integrative Framework ◽  
Knowledge Based ◽  
The Creation ◽  
Definition Of

This chapter describes how to integrate medical knowledge with purely inductive (data-driven) methods for the creation of clinical prediction rules. It addresses three issues: representation of medical knowledge, secondary analysis of medical data, and evaluation of automatically induced predictive models in the context of existing knowledge. To address the complexity of the domain knowledge, the authors have introduced a semio-fuzzy framework, which has its theoretical foundations in semiotics and fuzzy logic. This integrative framework has been applied to the creation of clinical prediction rules for the diagnosis of obstructive sleep apnea, a serious and under-diagnosed respiratory disorder. The authors use a semio-fuzzy approach (1) to construct a knowledge base for the definition of diagnostic criteria, predictors, and existing prediction rules; (2) to describe and analyze data sets used in the data mining process; and (3) to interpret the induced models in terms of confirmation, contradiction, and contribution to existing knowledge.

Reconstructing Medical Problem Solving Competence: MACCORD

1993 ◽  
Vol 32 (04) ◽  
pp. 326-338
Author(s):  
B. Petkoff ◽  
H. Mannebach ◽  
S. Kirkby ◽  
D. Kraus
Keyword(s):  
Problem Solving ◽  
Clinical Medicine ◽  
Medical Knowledge ◽  
Medical Problem ◽  
Knowledge Based Systems ◽  
Levels Of Abstraction ◽  
Knowledge Based ◽  
Methodological Principles ◽  
Problem Solving Behavior ◽  
Medical Reasoning

AbstractThe building of medical knowledge-based systems involves the reconstruction of methodological principles and structures within the various subdomains of medicine. ACCORD is a general methodology of knowledge-based systems, and MACCORD its application to medicine. MACCORD represents the problem solving behavior of the medical expert in terms of various types of medical reasoning and at various levels of abstraction. With MACCORD the epistemic and cognitive processes in clinical medicine can be described in formal terminology, covering the entire diversity of medical reasoning. MACCORD is close enough to formalization to make a significant contribution to the fields of medical knowledge acquisition, medical didactics and the analysis and application of medical problem solving methods.

An epistemological framework for medical knowledge-based systems

1992 ◽  
Vol 22 (6) ◽  
pp. 1361-1375 ◽  
Author(s):  
M. Ramoni ◽  
M. Stefanelli ◽  
L. Magnani ◽  
G. Barosi
Keyword(s):  
Medical Knowledge ◽  
Knowledge Based Systems ◽  
Knowledge Based ◽  
Epistemological Framework

scholarly journals Enabling the use of hereditary information from pedigree tools in medical knowledge-based systems

2013 ◽  
Vol 46 (4) ◽  
pp. 710-720 ◽  
Author(s):  
Pablo Gay ◽  
Beatriz López ◽  
Albert Plà ◽  
Jordi Saperas ◽  
Carles Pous
Keyword(s):  
Medical Knowledge ◽  
Knowledge Based Systems ◽  
Knowledge Based

scholarly journals PENGOBATAN TRADISIONAL DI KALANGAN ANAK-ANAK (STUDI KASUS DI KECAMATAN SOREANG)

2015 ◽  
Vol 7 (3) ◽  
pp. 509
Author(s):  
Ria Intani T.
Keyword(s):  
Data Analysis ◽  
Breast Milk ◽  
Traditional Medicine ◽  
Medical Knowledge ◽  
Operation System ◽  
Cultural Wealth ◽  
Knowledge Based ◽  
Research Activities ◽  
Analysis Technique ◽  
Health Field

AbstrakPengobatan tradisional merupakan satu sistem pengobatan yang tata caranya berdasarkan pengetahuan yang didapat secara turun temurun. Pengobatan tradisional tidak saja diperuntukkan guna pengobatan suatu penyakit, melainkan pula mengobati kebiasaan buruk pada anak-anak yang di antaranya adalah menghisap jari dan ketergantungan pada dot, Asi, dan ibunya. Sebagian orang mendapatkan solusinya melalui seorang pengobat tradisional. Pertanyaannya adalah bagaimanakah profil  pengobat yang bersangkutan, bagaimana pengetahuan pengobatan tersebut didapat, bagaimana tata cara pengobatannya, dan mengapa orang memercayai pengobatan tersebut. Pengobatan tradisional, dengan kondisinya yang masih terus “hidup”, tak dapat dinafikan merupakan kekayaan budaya yang memberi kontribusi di bidang kesehatan.  Oleh karena itu bidang pengobatan tradisional perlu mendapatkan perhatian, salah satunya dengan mengkajinya melalui kegiatan penelitian. Tipe penelitian yang digunakan  adalah deskriptif kualitatif. Dengan demikian, dalam pengambilan datanya menggunakan teknik wawancara  dan observasi. Adapun teknik analisis data yang dilakukan adalah analisis kualitatif yang bersifat deskriptif interpretatif. Sampai saat ini pengobatan ini masih berlangsung dengan jumlah konsumen yang fluktuatif dan dari kalangan yang beragam. AbstractTraditional medicine is a knowledge-based operation system of medicine which is gained from generation to generation. Traditional medicine is not only intended to the treatment of a disease, but also to cure the children bad habits, such as licking their fingers and the addiction ofmilk bottle, breast milk, and her mother. Some people get this solution through a traditional healer.The question is how the healers profile is concerned, how medical knowledge is obtained, how the procedures of treatment are, and why people believe in such treatment. Traditional medicine, remains in "alive"condition, cannot be denied asa cultural wealth that contributes in the health field.  Hence the field of traditional medicine needs to be concerned, such as by studying through research activities. This type of research is descriptive qualitative. Thus, in collecting the data, interview and observation techniques are employed. The data analysis technique is interpretative descriptive of qualitative analysis. Until now, this treatment is still in progress with a number ofvolatile and different consumers.

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