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17: Cervical Smear Request -- chapter Case 18: Chest Pain -- chapter Case 19: Chest Pain -- chapter Case 20: Chest Pain -- chapter Case 21: Circumcision Request -- chapter Case 22: Confusion -- chapter Case 23: Confusion -- chapter Case 24: Confusion -- chapter Case 25: Confusion -- chapter Case 26: Contraception -- chapter Case 27: Contraception -- chapter Case 28: Cough -- chapter Case 29: Cough -- chapter Case 30: Diarrhoea -- chapter Case 31: Dysphagia -- chapter Case 32: Erectile Dysfunction -- chapter Case 33: Facial Pain -- chapter Case 34: Faintness -- chapter Case 35:Falls -- chapter Case 36: Fertility Problem -- chapter Case 37: Fever -- chapter Case 38: Fever -- chapter Case 39: Fit Note Request -- chapter Case 40: Foot Drop -- chapter Case 41: Genetic Disorder -- chapter Case 42: Gifts -- chapter Case 43: Gynaecomastia -- chapter Case 44: Headache -- chapter Case 45: Homelessness -- chapter Case 46: Hypertension -- chapter Case 47: Immunization -- chapter Case 48:Incontinence -- chapter Case 49: Insomnia -- chapter Case 50: Joint Pain -- chapter Case 51: Leg Swelling -- chapter Case 52: Loin Pain -- chapter Case 53: Low Mood -- chapter Case 54: Malaise -- chapter Case 55: Mania -- chapter Case 56: Medication Dilemma -- chapter Case 57: Medication Request -- chapter Case 58: Memory Loss -- chapter Case 59: Multiple Symptoms -- chapter Case 60: Muscle Pain -- chapter Case 61: Muscle Pain -- chapter Case 62: Neck Swelling -- chapter Case 63: No Cure (follow-up to Case 35) -- chapter Case 64: Pain -- chapter Case 65: Pain -- chapter Case 66: Painful Tongue -- chapter Case 67: Palliative Care -- chapter Case 68: Palpitations -- chapter Case 69: Penile Rash -- chapter Case 70: Recreational Drug Use -- chapter Case 71: Rectal Bleeding -- chapter Case 72: Red Eye -- chapter Case 73: Renal Problem -- chapter Case 74: Road Traffic Accident -- chapter Case 75: Self-harm -- chapter Case 76: Sexual Abuse -- chapter Case 77: Sexual Abuse -- chapter Case 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Self-learning and adaptive algorithms are now widely used by such leading giants that as Google, Tesla, Microsoft, and Facebook in their projects and applications.In this guide designed for researchers and students of computer science, readers will find a resource for how to apply methods that work on real-life problems to their challenging applications, and a go-to work that makes fuzzy clustering issues and aspects clear. Including research relevant to those studying cybernetics, applied mathematics, statistics, engineering, and bioinformatics who are working in the areas of machine learning, artificial intelligence, complex system modeling and analysis, neural networks, and optimization, this is an ideal read for anyone interested in learning more about the fascinating new developments in machine learning. 410 0$aEmerald points. 606 $aBusiness$xData processing 606 $aElectronic data processing 606 $aFuzzy systems 606 $aBusiness & Economics$xResearch & Development$2bisacsh 606 $aNeural networks & fuzzy systems$2bicssc 615 0$aBusiness$xData processing. 615 0$aElectronic data processing. 615 0$aFuzzy systems. 615 7$aBusiness & Economics$xResearch & Development. 615 7$aNeural networks & fuzzy systems. 676 $a004 700 $aHu$b Zhengbing$0898601 702 $aBodyanskiy$b Yevgeniy V. 702 $aTyshchenko$b Oleksii 801 0$bUtOrBLW 801 1$bUtOrBLW 906 $aBOOK 912 $a9910793654203321 996 $aSelf-learning and adaptive algorithms for business applications$93853127 997 $aUNINA