Machine learning in expert systems for disease diagnostics in human healthcare

Abstract Expert systems are a rapidly emerging technology in the field of artificial intelligence (AI), having an immense impact on human healthcare. The main objective of a medical expert system is to help medical professionals in arriving at correct diagnostics. Information gathering is an important part of disease diagnosis, and traditional methods of diagnosis are very time-consuming and require a high level of expertise. Expert systems are computer systems that attempt to imitate the ability of human diagnostic decision-making. They employ knowledge about diseases and facts about patients as data and suggest diagnoses by using machine-learning methods. Expert systems offer suggestions to physicians/area experts in order to improve the expert’s ability and increase the consistency and quality of diagnostics. This type of system is also very helpful for patients who are unable to reach a doctor due to cost, being in a remote area, or feeling too ashamed to discuss their circumstances with a doctor. The expert system also helps to improve decision quality, reduce cost, and maintain consistency, reliability, and speed of diagnosis. There are various learning-based expert systems for different diseases, developed to help doctors and to serve in disease diagnosis. This chapter discusses important existing expert systems for human disease diagnosis in detail. It also provides a brief evaluation of various techniques used in the development of expert systems.

[1]  T. Davenport,et al.  The potential for artificial intelligence in healthcare , 2019, Future Healthcare Journal.

[2]  Sadhna K. Mishra,et al.  Application of Genetic Algorithm for Cancer Diagnosis by Feature Selection , 2014 .

[3]  Farkhondeh Asadi,et al.  Type2 diabetes mellitus prediction using data mining algorithms based on the long-noncoding RNAs expression: a comparison of four data mining approaches , 2020, BMC Bioinform..

[4]  Amisha,et al.  Overview of artificial intelligence in medicine , 2019, Journal of family medicine and primary care.

[5]  Tiratha Raj Singh,et al.  Application of Deep Learning in Biological Big Data Analysis , 2021 .

[6]  Sabri Koçer,et al.  Classifying Epilepsy Diseases Using Artificial Neural Networks and Genetic Algorithm , 2011, Journal of Medical Systems.

[8]  Mohd Nasir Taib,et al.  Expert system for early diagnosis of eye diseases infecting the Malaysian population , 2001, Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology. TENCON 2001 (Cat. No.01CH37239).

[9]  P. S. Reddy,et al.  HEART DISEASE PREDICTION USING ANN ALGORITHM IN DATA MINING , 2017 .

[10]  Pouyan Esmaeilzadeh,et al.  Use of AI-based tools for healthcare purposes: a survey study from consumers’ perspectives , 2020, BMC Medical Informatics and Decision Making.

[11]  V. Ranjani,et al.  Data Mining Applications In Healthcare Sector: A Study , 2013 .

[12]  Mohammad Shahadat Hossain,et al.  A belief rule-based expert system to diagnose influenza , 2014, 2014 9th International Forum on Strategic Technology (IFOST).

[13]  Gordon I. McCalla,et al.  A knowledge-based system for tutoring bronchial asthma diagnosis , 1989, [1989] Proceedings. Second Annual IEEE Symposium on Computer-based Medical Systems.

[14]  Tiratha Raj Singh,et al.  Data Mining, Big Data, Data Analytics: Big Data Analytics in Bioinformatics , 2017 .

[15]  Robbie T. Nakatsu,et al.  Rule‐Based Expert Systems , 2009 .

[16]  Samy S. Abu Naser,et al.  An Expert System for Nausea and Vomiting Problems in Infants and Children , 2016 .

[17]  James M. Keller,et al.  A possibilistic fuzzy c-means clustering algorithm , 2005, IEEE Transactions on Fuzzy Systems.

[18]  E. Bursuk,et al.  A medical expert system in cardiological diseases , 1999, Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society (Cat. N.

[19]  Mounir Boukadoum,et al.  Computer-Aided Diagnosis System of Alzheimer’s Disease Based on Multimodal Fusion: Tissue Quantification Based on the Hybrid Fuzzy-Genetic-Possibilistic Model and Discriminative Classification Based on the SVDD Model , 2019, Brain sciences.

[20]  Tiratha Raj Singh,et al.  A New Decision Tree to Solve the Puzzle of Alzheimer’s Disease Pathogenesis Through Standard Diagnosis Scoring System , 2017, Interdisciplinary Sciences: Computational Life Sciences.

[21]  Angeliki Maria Toli,et al.  The Concept of Sustainability in Smart City Definitions , 2018, Frontiers in Built Environment.

[22]  Silvana Quaglini,et al.  Data mining techniques for analyzing stroke care processes , 2010, MedInfo.

[23]  S. Shun,et al.  Understanding self care coping styles in patients with chronic heart failure: A systematic review , 2016, European journal of cardiovascular nursing : journal of the Working Group on Cardiovascular Nursing of the European Society of Cardiology.

[24]  Ahmet İlhan,et al.  Diagnosis of heart disease using genetic algorithm based trained recurrent fuzzy neural networks , 2017 .

[25]  K. Ong,et al.  Graphical knowledge-based protocols for chest pain management , 1999, Computers in Cardiology 1999. Vol.26 (Cat. No.99CH37004).

[26]  Zeeshan Ahmed,et al.  Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine , 2020, Database J. Biol. Databases Curation.

[27]  Mehrbakhsh Nilashi,et al.  Fuzzy logic approach for infectious disease diagnosis: A methodical evaluation, literature and classification , 2019, Biocybernetics and Biomedical Engineering.

[28]  Zahraa Naser Shah Weli.  Data Mining in Cancer Diagnosis and Prediction: Review about Latest Ten Years , 2020, Current Journal of Applied Science and Technology.

[29]  Clémence Réda,et al.  Machine learning applications in drug development , 2019, Computational and structural biotechnology journal.

[30]  Samy S. Abu Naser,et al.  Expert System for Problems of Teeth and Gums , 2017 .

[31]  Samy S. Abu-Naser,et al.  A Proposed Expert System for Skin Diseases Diagnosis. INSInet Publication , 2008 .

[32]  Nadeem Javaid,et al.  Neuroscience patient identification using big data and fuzzy logic-An Alzheimer's disease case study , 2019, Expert Syst. Appl..

[33]  Samy S. Abu Naser,et al.  A Proposed Rule Based System for Breasts Cancer Diagnosis , 2016 .

[34]  KongFatt Wong-Lin,et al.  A hybrid computational approach for efficient Alzheimer’s disease classification based on heterogeneous data , 2018, Scientific Reports.

[35]  Derya Avci,et al.  An Expert Diagnosis System for Parkinson Disease Based on Genetic Algorithm-Wavelet Kernel-Extreme Learning Machine , 2016, Parkinson's disease.

[36]  Hans-Georg Buchholz,et al.  A Knowledge-Based System for the Diagnosis of Alzheimer's Disease , 2003, AIME.

[37]  H. Saudi,et al.  An expert system for the diagnosis and management of oral ulcers , 2014 .

[38]  Tiratha Raj Singh,et al.  Computational analysis for functional and evolutionary aspects of BACE-1 and associated Alzheimer's related proteins , 2012, Int. J. Comput. Intell. Stud..

[39]  Samy S. Abu-Naser,et al.  An Expert System for Mouth Problems in Infants and Children , 2016 .

[40]  T. Singh,et al.  Virtual screening, pharmacokinetics, molecular dynamics and binding free energy analysis for small natural molecules against cyclin-dependent kinase 5 for Alzheimer’s disease , 2020, Journal of biomolecular structure & dynamics.

[41]  Komal R. Hole.  Rule-Based Expert System for the Diagnosis of Memory Loss Diseases. , 2014 .

[42]  Alex M. Muumbo,et al.  Development of a Medical Expert System as an Expert Knowledge Sharing Tool on Diagnosis and Treatment of Hypertension in Pregnancy , 2012 .

[43]  Gang Du,et al.  Location Planning Problem of Service Centers for Sustainable Home Healthcare: Evidence from the Empirical Analysis of Shanghai , 2015 .

[44]  Ali Ghaheri,et al.  The Applications of Genetic Algorithms in Medicine. , 2015, Oman medical journal.

[45]  Patricia Ordóñez de Pablos,et al.  Disease Diagnosis in Smart Healthcare: Innovation, Technologies and Applications , 2017 .

[46]  Nejat Yumusak,et al.  Tuberculosis Disease Diagnosis Using Artificial Neural Network Trained with Genetic Algorithm , 2011, Journal of Medical Systems.

[47]  Daniela Cristina Momete,et al.  Building a Sustainable Healthcare Model: A Cross-Country Analysis , 2016 .

[48]  Dimitris Drikakis,et al.  Machine-Learning Methods for Computational Science and Engineering , 2020, Comput..

[49]  H. Ayatollahi,et al.  Predicting coronary artery disease: a comparison between two data mining algorithms , 2019, BMC Public Health.

[50]  Marcelo Zanchetta do Nascimento,et al.  Segmentation and detection of breast cancer in mammograms combining wavelet analysis and genetic algorithm , 2014, Comput. Methods Programs Biomed..

[51]  K. Hemalatha,et al.  A Fuzzy-Based Expert System to Diagnose Alzheimer’s Disease , 2018, Internet of Things and Personalized Healthcare Systems.

[52]  Maruf Pasha,et al.  Survey of Machine Learning Algorithms for Disease Diagnostic , 2017 .

[53]  Aman Jantan,et al.  State-of-the-art in artificial neural network applications: A survey , 2018, Heliyon.

[54]  Samy S. Abu-Naser,et al.  Ear Diseases Diagnosis Expert System Using SL5 Object , 2016 .

[55]  Aly A. Farag,et al.  A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data , 2002, IEEE Transactions on Medical Imaging.

[56]  Fatih Basçiftçi,et al.  Reduced-rule based expert system by the simplification of logic functions for the diagnosis of diabetes , 2011, Comput. Biol. Medicine.

[57]  Vikas Singh,et al.  MKL for Robust Multi-modality AD Classification , 2009, MICCAI.

[58]  Samy S. Abu Naser,et al.  An Expert System for Genital Problems in Infants , 2016 .

[59]  Sushmita Mitra,et al.  Fuzzy MLP based expert system for medical diagnosis , 1994, CVPR 1994.

[60]  D. Lavanya,et al.  Performance Evaluation of Decision Tree Classifiers on Medical Datasets , 2011 .

[61]  Noura Ajam.  Heart Diseases Diagnoses using Artificial Neural Network , 2015 .

[62]  Jason Weller,et al.  Current understanding of Alzheimer’s disease diagnosis and treatment , 2018, F1000Research.

[63]  Samy S. Abu-Naser,et al.  A Ruled Based System for Ear Problem Diagnosis and Treatment , 2016 .

[64]  A. Vijayakumar,et al.  Comparison of Hippocampal Volume in Dementia Subtypes , 2012, ISRN radiology.

[65]  Samy S. Abu Naser,et al.  An expert system for men genital problems diagnosis and treatment , 2016 .

[66]  Arvid Lundervold,et al.  An overview of deep learning in medical imaging focusing on MRI , 2018, Zeitschrift fur medizinische Physik.

[67]  S. Joshi,et al.  Applications of data mining in health and pharmaceutical industry , 2013 .

[68]  Emre Avuçlu,et al.  An expert system design to diagnose cancer by using a new method reduced rule base , 2018, Comput. Methods Programs Biomed..

[69]  Samy S. Abu Naser,et al.  Expert system urination problems diagnosis , 2016 .

[70]  Satendra Singh,et al.  Bioinformatics in Next-Generation Genome Sequencing , 2018 .

[71]  Kyung-Sup Kwak,et al.  A Fibrosis Diagnosis Clinical Decision Support System Using Fuzzy Knowledge , 2018, Arabian Journal for Science and Engineering.

[72]  Nida Shahid,et al.  Applications of artificial neural networks in health care organizational decision-making: A scoping review , 2019, PloS one.

[73]  Samy S. Abu-Naser,et al.  An Expert System for Diagnosing Shortness of Breath in Infants and Children , 2018 .

[74]  Tiratha Raj Singh,et al.  Computational studies on Alzheimer's disease associated pathways and regulatory patterns using microarray gene expression and network data: revealed association with aging and other diseases. , 2013, Journal of theoretical biology.

[75]  S. P. Leo Kumar.  Knowledge-based expert system in manufacturing planning: state-of-the-art review , 2019 .

[76]  M. Neshat,et al.  Fuzzy Expert System Design for Diagnosis of Liver Disorders , 2008, 2008 International Symposium on Knowledge Acquisition and Modeling.

[77]  Zulkarnay Zakaria,et al.  Design and Development of Fuzzy Expert System for Diagnosis of Hypertension , 2011, 2011 Second International Conference on Intelligent Systems, Modelling and Simulation.

[78]  Nureize Arbaiy,et al.  Integrated Knowledge Based Expert System for Disease Diagnosis System , 2017 .

[79]  C. Godfrey,et al.  Care of self - care by other - care of other: the meaning of self-care from research, practice, policy and industry perspectives. , 2011, International Journal of Evidence-Based Healthcare.

[80]  E H Shortliffe,et al.  Medical expert systems--knowledge tools for physicians. , 1986, The Western journal of medicine.

[81]  P.Santosh Kumar Patra,et al.  An Expert System for Diagnosis Of Human Diseases , 2010 .

[82]  Nupur S. Munjal,et al.  Identification of novel small molecules against GSK3β for Alzheimer's disease using chemoinformatics approach. , 2019, Journal of molecular graphics & modelling.

[83]  Paul M. Thompson,et al.  Staging Alzheimer's disease progression with multimodality neuroimaging , 2011, Progress in Neurobiology.

[84]  Ranjit Barua,et al.  Application of Artificial Intelligence in Modern Healthcare System , 2019, Alginates - Recent Uses of This Natural Polymer.

[85]  Abou Bekr,et al.  A NEURO-FUZZY INFERENCE MODEL FOR BREAST CANCER RECOGNITION , 2012 .

[86]  David Riaño,et al.  Improving medical decision trees by combining relevant health-care criteria , 2012, Expert Syst. Appl..