Added notebook for federated learning

diagnosis.names

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+Title: Acute Inflammations
+
+Abstract: The data was created by a medical expert as a data set to test 
+the expert system, which will perform the presumptive diagnosis of two 
+diseases of the urinary system.
+
+----------------------------------------------------------------------------
+
+Data Set Characteristics:  Multivariate
+Attribute Characteristics: Categorical, Integer
+Associated Tasks: Classification
+Number of Instances: 120
+Number of Attributes: 6
+Missing Values? No
+Area: Life
+Date Donated: 2009-02-11
+
+----------------------------------------------------------------------------
+
+Source:
+
+Jacek Czerniak, Ph.D., Assistant Professor
+Systems Research Institute
+Polish Academy of Sciences
+Laboratory of Intelligent Systems
+ul. Newelska 6, Room 218
+01-447 Warszawa, Poland
+e-mail: jacek.czerniak 'at' ibspan.waw.pl or jczerniak 'at' ukw.edu.pl 
+
+----------------------------------------------------------------------------
+
+
+Data Set Information:
+
+The main idea of this data set is to prepare the algorithm of the expert 
+system, which will perform the presumptive diagnosis of two diseases of 
+urinary system. It will be the example of diagnosing of the acute 
+inflammations of urinary bladder and acute nephritises. For better 
+understanding of the problem let us consider definitions of both 
+diseases given by medics. Acute inflammation of urinary bladder is
+characterised by sudden occurrence of pains in the abdomen region and 
+the urination in form of constant urine pushing, micturition pains and 
+sometimes lack of urine keeping. Temperature of the body is rising, 
+however most often not above 38C. The excreted urine is turbid and 
+sometimes bloody. At proper treatment, symptoms decay usually within 
+several days. However, there is inclination to returns. At persons with 
+acute inflammation of urinary bladder, we should expect that the illness 
+will turn into protracted form.
+
+Acute nephritis of renal pelvis origin occurs considerably more often at 
+women than at men. It begins with sudden fever, which reaches, and 
+sometimes exceeds 40C. The fever is accompanied by shivers and one- or 
+both-side lumbar pains, which are sometimes very strong. Symptoms of 
+acute inflammation of urinary bladder appear very often. Quite not 
+infrequently there are nausea and vomiting and spread pains of whole 
+abdomen.
+
+The data was created by a medical expert as a data set to test the 
+expert system, which will perform the presumptive diagnosis of two 
+diseases of urinary system. The basis for rules detection was Rough Sets 
+Theory. Each instance represents an potential patient.
+
+The data is in an ASCII file. Attributes are separated by TAB. Each line 
+of the data file starts with a digit which tells the temperature of patient.
+
+-- Attribute lines:
+For example, '35,9 no no yes yes yes yes no'
+Where:
+'35,9' Temperature of patient
+'no' Occurrence of nausea
+'no' Lumbar pain
+'yes' Urine pushing (continuous need for urination)
+'yes' Micturition pains
+'yes' Burning of urethra, itch, swelling of urethra outlet
+'yes' decision: Inflammation of urinary bladder
+'no' decision: Nephritis of renal pelvis origin 
+
+----------------------------------------------------------------------------
+
+Attribute Information:
+
+a1 Temperature of patient { 35C-42C }
+a2 Occurrence of nausea { yes, no }
+a3 Lumbar pain { yes, no }
+a4 Urine pushing (continuous need for urination) { yes, no }
+a5 Micturition pains { yes, no }
+a6 Burning of urethra, itch, swelling of urethra outlet { yes, no }
+d1 decision: Inflammation of urinary bladder { yes, no }
+d2 decision: Nephritis of renal pelvis origin { yes, no } 
+
+----------------------------------------------------------------------------
+
+Relevant Papers:
+
+J.Czerniak, H.Zarzycki, Application of rough sets in the presumptive 
+diagnosis of urinary system diseases, Artifical Inteligence and Security 
+in Computing Systems, ACS'2002 9th International Conference Proceedings, 
+Kluwer Academic Publishers,2003, pp. 41-51
+
+----------------------------------------------------------------------------
+
+Citation Request:
+
+Please cite:
+
+J.Czerniak, H.Zarzycki, Application of rough sets in the presumptive 
+diagnosis of urinary system diseases, Artifical Inteligence and Security 
+in Computing Systems, ACS'2002 9th International Conference Proceedings, 
+Kluwer Academic Publishers,2003, pp. 41-51