Fuzzy and Rough Techniques in Medical Diagnosis and MedicationSpringer, 02/06/2007 - 189 páginas In the late eighties of the twentieth century I encountered a paper referring to mathematics dealing with imprecision applied to medical diagnosis. I was working in the area of medical statistics at that time, and obviously I was interested in the contents of the paper. After I had read it I became fascinated by new possibilities of medical data interpretation and processing proposed by the author. The new world of fuzziness, originated by Professor Lotfi Zadeh, seemed to open up to me and I started reading all accessible material about fuzzy set theory. Many years have passed since then. We are now living in the information so- ety and we do not experience troubles in reaching scientific material. Lately I have read many papers and books about treating medical tasks solved by using fuzzy ideas. I am still keen on tracing applications in medicine, and by myself I have been contributing to some concepts in this subject that has motivated me to p- pare my own book. The objective of writing such a book has been a little parti- lar, namely, I have intended to present the subject of fuzzy tools and techniques in medicine for eventual users. These, maybe representatives of medical or phar- cological staffs, are not expected to possess a large amount of mathematical knowledge. |
Índice
Medical Diagnosis | 31 |
Evaluation of Medicine Action Levels 93 | 92 |
The Choice of Optimal Medicines | 127 |
Approximation of Clocklike Point Sets | 155 |
183 | |
189 | |
Outras edições - Ver tudo
Fuzzy and Rough Techniques in Medical Diagnosis and Medication Elisabeth Rakus-Andersson Pré-visualização indisponível - 2010 |
Fuzzy and Rough Techniques in Medical Diagnosis and Medication Elisabeth Rakus-Andersson Pré-visualização indisponível - 2009 |
Fuzzy and Rough Techniques in Medical Diagnosis and Medication Elisabeth Rakus-Andersson Pré-visualização indisponível - 2007 |
Palavras e frases frequentes
acceptance accordance action already answers appear applying approximation assigned associated assume belonging called changes character choice composition computed concerning condition connection considered constitutes construct corresponding curves decide decision defined Definition determined diagnosis discussed disease distance drug effectiveness eigen fuzzy set elements equal equation estimate examined Example existence expressions Figure final formula further fuzzy numbers fuzzy relation fuzzy set give given graph importance indicates interpreted interval introduce largest linguistic mathematical matrix means medicine membership degrees membership function never objects obtained operations pair parameters patient physician placed points polygon possible presence proposed question rejection representing respect rough sampled seldom suggested supports Suppose symptom Sj symptoms Table takes tion truncated weights young
Passagens conhecidas
Página 3 - Stated informally, the essence of this principle is that as the complexity of a system increases, our ability to make precise and yet significant statements about its behavior diminishes until a threshold is reached beyond which precision and significance (or relevance) become almost mutually exclusive characteristics.
Página 3 - We shall call this type of uncertainty or vagueness stochastic uncertainty by contrast to the vagueness concerning the description of the semantic meaning of the events, phenomena or statements themselves, which we shall caftfuzziness.
Página 183 - KWAKERNAAK H.: RATING AND RANKING OF MULTIPLE-ASPECT ALTERNATIVES USING FUZZY SETS.
Página 188 - Kacprzyk, J., The Ordered Weighted Averaging Operators: Theory and Applications, Kluwer: Norwell, MA, 1997.
Página 183 - ... now in the process of developing fuzzy classification criteria for the arterial blood pressure signal. Once these classifications have been developed, we will develop a means of combining the information from these two signals to make clinically meaningful physiologic state determinations. References Adlassnig KP. A fuzzy logical model of computer-assisted medical diagnosis.
Página 3 - As the complexity of a system increases, our ability to make precise and yet significant statements about its behavior diminishes until a threshold is reached beyond which precision and significance become almost mutually exclusive characteristics