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Self-Diagnosis with Advanced Hospital Management

Sheethal V S
2021 International Journal for Research in Applied Science and Engineering Technology  
This program will be developed using one of the heuristic search methods in artificial intelligence which means greedy local search.  ...  It offers suggestions on some of the preventable diseases that mean minor problems with some pills.  ...  The administrator will have his or her username, password to perform a database update.  ... 
doi:10.22214/ijraset.2021.37379 fatcat:6bvk3dolnzdlvp6qlfzyemls7u

An Expert System for Diagnosis and Treatment of Mental Ailment

Stanley Ikechukwu Oguoma, Kizito Kanayo Uka, Chekwube Alphonsus Chukwu, Emeka Christian Nwaoha
2020 OALib  
This paper presents the design, imple  ...  The stigmatization and the accompanying problems with mentally challenged persons in the third world countries like Nigeria in getting good medication are better imagined than experienced.  ...  Conflicts of Interest The authors declare no conflicts of interest regarding the publication of this paper.  ... 
doi:10.4236/oalib.1106166 fatcat:wwf6hcoco5fj5dietet2tbp4p4

Multi-Agent Case-Based Diagnosis in the Aircraft Domain

Pascal Reuss, Klaus-Dieter Althoff, Alexander Hundt, Wolfram Henkel, Matthias Pfeiffer
2015 International Conference on Case-Based Reasoning  
We describe the agents within our diagnosis system, the planned diagnosis workflow and the current status of the implementation.  ...  In addition, we describe some challenges we have during the development of the multi-agent system, especially during the knowledge modeling.  ...  in travel medicine, technical diagnosis, and architectural design.  ... 
dblp:conf/iccbr/ReussAHHP15 fatcat:zdtdbhvjmbbtvdlyikgttohlcm

Failure Diagnosis of Complex Systems [chapter]

Soila P. Kavulya, Kaustubh Joshi, Felicita Di Giandomenico, Priya Narasimhan
2012 Resilience Assessment and Evaluation of Computing Systems  
Industrial applications of these techniques in the above domains are presented, and finally, future trends and open challenges in the field are discussed.  ...  Failure diagnosis is the process of identifying the causes of impairment in a system's function based on observable symptoms, i.e., determining which fault led to an observed failure.  ...  Due to the diversity of the domains, a variety of failure diagnosis techniques drawing from diverse areas of computing and mathematics such as artificial intelligence, machine learning, statistics, stochastic  ... 
doi:10.1007/978-3-642-29032-9_12 fatcat:dyxufulyhfgpfbjruwizaj7eia

A web-based decision support system for lower back pain diagnosis

Mohammed Arif Hasan Chowdhury
2016 IOSR Journal of Computer Engineering  
The use of Artificial Intelligent (AI), Knowledge Management, is the vital components and demanding for knowledge and evidence based health care sector.  ...  The research conducted with qualitative analysis in resulted through the interviewing with LBP patient and health care professionals on their view about the usage of web-based system in their diagnosis  ...  Our proposed web-based system have already used 180 real-world cases that was collected from multiple, geographically dispersed clinics which provide the overall assessment of our evaluation design knowledge  ... 
doi:10.9790/0661-1804042125 fatcat:y6vcsijkand2ha5oirffdqasr4

Intelligent Diagnosis of Heart Diseases using Neural Network Approach

Ranjana Raut, Dr. S. V. Dudul
2010 International Journal of Computer Applications  
Experiments with the Switzerland Heart Disease database have concentrated on attempting to distinguish presence and absence.  ...  With chosen optimal parameters of MLP NN, when it is trained and tested over cross validation (unseen data sets), the average (and best respectively) classification of 98±2.83 % (and 100%), 96.67±4.56%  ...  Complexity of the Decision Boundaries DESIGN OF INTELLIGENT SYSTEM The neural network design mainly consists of defining the topology (i.e. the arrangement of PEs, connections, and patterns into the  ... 
doi:10.5120/31-140 fatcat:ml5pcekb55ablgwtrvm6x3jghu

Chronic Kidney Disease Diagnosis Model Based on Case Based Reasoning

2019 International Journal of Engineering and Advanced Technology  
Hence, in this paper we proposed a framework for CBR system to facilitate and support the diagnosis of chronic kidney diseases with domain expert's advice.  ...  Finally, we evaluate the performance of the developed framework using recall and precision.  ...  c) Knowledge Acquisition from Domain Expert In this study the primary source of knowledge gathers from domain experts.  ... 
doi:10.35940/ijeat.b3624.129219 fatcat:kww57oc5nbb7figwdt7co2tuja

Medical Diagnosis Using Machine Learning: A Statistical Review

Kaustubh Arun Bhavsar, Jimmy Singla, Yasser D. Al-Otaibi, Oh-Young Song, Yousaf Bin Zikriya, Ali Kashif Bashir
2021 Computers Materials & Continua  
A large number of overlapping structures and cases, and distractions, tiredness, and limitations with the human visual system can lead to inappropriate diagnosis.  ...  It also shows the increase in use of machine learning for disease diagnosis over the years.  ...  Con icts of Interest: The authors declare that they have no con icts of interest to report regarding the present study.  ... 
doi:10.32604/cmc.2021.014604 fatcat:rvuvrdtotvatxi6zh2d5ovx5i4

Intelligent Sensing Technologies for the Diagnosis, Monitoring and Therapy of Alzheimer's Disease: A Systematic Review

Nazia Gillani, Tughrul Arslan
2021 Sensors  
The review concludes by discussing the potential of these intelligent technologies for clinical practice while highlighting future considerations for improvements in the design of these solutions for Alzheimer's  ...  This study gives an overview of the depth and breadth of the efficacy as well as the limitations of these intelligent systems proposed for Alzheimer's.  ...  Conflicts of Interest: The authors declare no conflict of interest. Sensors 2021, 21, 4249  ... 
doi:10.3390/s21124249 fatcat:unhq4r6j2zde7mcznt53tpgr3q

Montreal Cognitive Assessment for the diagnosis of Alzheimer's disease and other dementias

Daniel HJ Davis, Sam T Creavin, Jennifer LY Yip, Anna H Noel-Storr, Carol Brayne, Sarah Cullum
2015 The Cochrane library  
HTA (Health Technology Assessment Database), ARIF (Aggressive Research Intelligence Facility) and C-EBLM (International Federation of Clinical Chemistry and Laboratory Medicine Committee for Evidence-based  ...  We performed quality assessment according to the QUADAS-2 criteria.Methodological variation in selected studies precluded quantitative meta-analysis, therefore results from individual studies were presented  ...  We had intended to carry out a meta-analysis of included studies but, due to differences in study design, participant sampling, reference standards and reported thresholds, we judged that a meta-analysis  ... 
doi:10.1002/14651858.cd010775.pub2 pmid:26513331 pmcid:PMC6682492 fatcat:ogujsjcjpzhnlcvzxoofh5qxx4

CONFIGURATION MODELING AND DIAGNOSIS IN DATA CENTERS

Sanjeev Sondur
2020 Figshare  
ACKNOWLEDGEMENTS ii LIST OF TABLES viii  ...  Such an approach can intelligently jump to a new design state by exploiting the domain knowledge regard- computing system is very complex because of the unknown influence of the parameters or their complex  ...  Adding Domain Knowledge to mSA: We incorporate domain knowledge in the algorithm by dividing the design variables into groups based on their level of interdependencies.  ... 
doi:10.6084/m9.figshare.12616301 fatcat:hetr7siwh5bznm3s7z3m3o7rse

Decision Support System for Hepatitis Disease Diagnosis using Bayesian Network

Shamshad Lakho, Akhtar Hussain Jalbani, Muhammad Saleem Vighio, Imran Ali Memon, Saima Siraj Soomro, Qamar-un-Nisa Soomro
2017 Sukkur IBA Journal of Computing and Mathematical Sciences  
The physician provides the input to the system in the form of symptoms stated by the patient. These signs and symptoms match with the casual relationships present in the knowledge model.  ...  Therefore, provision of medical diagnosis plays a dynamic role, specifically in the preliminary stage when a physician has limited diagnosis experience and identifies the directions to be taken for the  ...  The submitted query is stored in the Medical Database that contains patients' cases and disease information. The query is then compared with the casual relationships present in the knowledge model.  ... 
doi:10.30537/sjcms.v1i2.51 fatcat:nrk4yjigefbyjeajnm5aiuszru

Artificial Intelligence and its Application in Animal Disease Diagnosis

Neelesh Sharma
2022 Journal of Animal Research  
Present paper reviews about the origin, subfields, mandates and application of artificial intelligence in animal disease diagnosis.  ...  Regarding use of AI technique in veterinary sciences, this paper reviewed some of the documented data of its application in disease prediction and diagnosis; The National Animal Disease Referral Expert  ...  the performance of the model.  ... 
doi:10.30954/2277-940x.01.2022.1 fatcat:bp5g5jpvkfhpvarmrxwkpe3aua

Diagnosis Support System for General Diseases by Implementing a Novel Machine Learning Based Classifier

Vikas Kamra, Praveen Kumar, Masoud Mohammadian
2021 International Journal of Computing and Digital Systems  
diagnosis of diseases.  ...  Various algorithms developed and applied with the aid of machine learning techniques that can substantially lead to the resolution of the system of health care and can help personnel involved in the early  ...  ACKNOWLEDGMENT The authors are indebted to their friends for their cherished support and help. Moreover, the authors still wish to share their gratitude to this paper's editor and reviewers.  ... 
doi:10.12785/ijcds/100168 fatcat:3yct6cvq5jh4zj4xyxfv4oak3q

Applications of Explainable Artificial Intelligence in Diagnosis and Surgery

Yiming Zhang, Ying Weng, Jonathan Lund
2022 Diagnostics  
Some research has been conducted into explainable artificial intelligence (XAI) to overcome the limitation of the black-box nature of AI methods.  ...  Compared with AI techniques such as deep learning, XAI can provide both decision-making and explanations of the model.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/diagnostics12020237 pmid:35204328 pmcid:PMC8870992 fatcat:fk5gbai6szf2vhf222o7p6nkqy
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