MACHINE LEARNING BASED SEPSIS PREDICTION FOR FOOT INFECTION IN DIABETIC PATIENTS /

Sábháilte in:

Sonraí bibleagrafaíochta
Príomhchruthaitheoir:	Tasneem, Zareen
Rannpháirtithe:	Supervised by Dr. Md. Shohrab Hossain, Professor, Dept OF CSE, BUET
Formáid:	LEABHAR
Teanga:	Béarla
Foilsithe / Cruthaithe:	Dhaka : CSE DEPT MIST c2025
Ábhair:	Computer Science and Engineering This Thesis paper of CSE in M.Sc. program
Clibeanna:	Cuir clib leis Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!

Míreanna comhchosúla: MACHINE LEARNING BASED SEPSIS PREDICTION FOR FOOT INFECTION IN DIABETIC PATIENTS /

Spléachadh Tapa
PREDICTING POLYCYSTIC OVARY SYNDROME THROUGH MACHINE LEARNING TECHNIQUE USING PATIENTS' SYMPTOM DATA AND OVARY ULTRASOUND IMAGES /
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AI-BASED MEDICATION ASSISTIVE SYSTEM WITH INSULIN DOSE PREDICTION FOR ELDERLY DIABETIC PATIENT /
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PREDICTION OF URINARY TRACT INFECTIONS USING HMM
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DEVELOPMENT OF AN APPLICATION SOFTWARE FOR SALES PREDICTION USING MACHINE LEARNING ALGORITHMS /
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DIABETIC RETINOPATHY STAGE DETECTION USING RETINAL FUNDUS IMAGES THROUGH ENSEMBLE LEARNING APPROACH/
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MACHINE LEARNING MODEL TO DETECT PNEUMONIA OF COVID-19 PATIENTS FROM CHEST X-RAY IMAGES /
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DEVELOPMENT OF A STROKE PREDICTION SYSTEM BASED ON IOT AND MACHINE LEARNING /
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DESIGN ANDDEVELOPMENT OF AN INTERACTIVE CHATBOT FOR DIABETES PATIENT PRE-SCREENING /
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PREDICTION OF POTATO DISEASE FROM LEAVES USING DEEP LEARNING /
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A STUDY ON DIABETES PATIENT LIFESTYLE MANAGEMENT USING MOBILE APPLICATION /
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DEVELOPMEMENT OF A MACHINE LEARNING MODEL FOR BILLINGUAL SMS SPAM DETECTION /
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APPLICATION OF MACHINE LEARNING IN SORTING NANO PARTICLES CHARACTERIZED BY OPTICAL FORCE /
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MACHINE LEARNING APPROACHES FOR THE DETECTION OF LUNG CANCER USING MRI IMAGES /
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SENTIMENT ANALYSIS OF COVID-19 TWEETS USING MACHINE LEARNING TECHNIQUES /
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DETECTION OF BRAIN TUMORS FROM MRI IMAGES USING MACHINE LEARNING APPROACHES /
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IDENTIFICATION OF BREST TUMOR FROM MRI IMAGES USING MACHINE LEARNING APPROACHES /
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BANGLA HATE SPEECH DETECTION ON SOCIAL MEDIA USING MACHINE LEARNING MODEL/
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IDENTIFICATION OF DDOS ATTACK THROUGH INTRUSION DETECTION MODEL USING ENSEMBLE MACHINE LEARNING /
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DEVELOPMENT OF A DEEP LEARNING-BASED MOBILE APPLICATION TO DETECT FRESHNESS OF FRUITS /
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PREDICTING THE DEPTH OF ANESTHESIA FOR OPERATING PATIENT USING MUSIC-BASED SPECTRAL FEATURES OF EEG SIGNALS /
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ADVANCED XAI-BASED ENSEMBLE MACHINE LEARNING TECHNIQUE FOR EEG-BASED NEUROMARKETING PREDICTION /
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DETECTING THE FETAL HEALTH CONDITION USING FEDERATED LEARNING APPROACH WITH INCENTIVE-BASED REWARDS SYSTEM /
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EARTHQUAKE MAGNITUDE PREDICTION USING MACHINE LEARNING AND DEEP LEARNING /
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MULTI-CLASS BREAST CANCER DETECTION USING DEEP LEARNING AND QUANTUM ANNEALING-BASED HYPERPARAMETER OPTIMIZATION /