• Title/Summary/Keyword: diagnosis and treatment

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Knowledge Based Recommender System for Disease Diagnostic and Treatment Using Adaptive Fuzzy-Blocks

  • Navin K.;Mukesh Krishnan M. B.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.2
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    • pp.284-310
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    • 2024
  • Identifying clinical pathways for disease diagnosis and treatment process recommendations are seriously decision-intensive tasks for health care practitioners. It requires them to rely on their expertise and experience to analyze various categories of health parameters from a health record to arrive at a decision in order to provide an accurate diagnosis and treatment recommendations to the end user (patient). Technological adaptation in the area of medical diagnosis using AI is dispensable; using expert systems to assist health care practitioners in decision-making is becoming increasingly popular. Our work architects a novel knowledge-based recommender system model, an expert system that can bring adaptability and transparency in usage, provide in-depth analysis of a patient's medical record, and prescribe diagnostic results and treatment process recommendations to them. The proposed system uses a set of parallel discrete fuzzy rule-based classifier systems, with each of them providing recommended sub-outcomes of discrete medical conditions. A novel knowledge-based combiner unit extracts significant relationships between the sub-outcomes of discrete fuzzy rule-based classifier systems to provide holistic outcomes and solutions for clinical decision support. The work establishes a model to address disease diagnosis and treatment recommendations for primary lung disease issues. In this paper, we provide some samples to demonstrate the usage of the system, and the results from the system show excellent correlation with expert assessments.

An Analysis of Cancer Survival Narratives Using Computerized Text Analysis Program (컴퓨터 텍스트 분석프로그램을 적용한 암환자의 투병수기 분석)

  • Kim, Dal Sook;Park, Ah Hyun;Kang, Nam Jun
    • Journal of Korean Academy of Nursing
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    • v.44 no.3
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    • pp.328-338
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    • 2014
  • Purpose: This study was done to explore experiences of persons living through the periods of cancer diagnosis, treatment, and self-care. Methods: With permission, texts of 29 cancer survival narratives (8 men and 21 women, winners in contests sponsored by two institutes), were analyzed using Kang's Korean-Computerized-Text-Analysis-Program where the commonly used Korean-Morphological-Analyzer and the 21st-century-Sejong-Modern-Korean-Corpora representing laymen's Korean-language-use are connected. Experiences were explored based on words included in 100 highly-used-morphemes. For interpretation, we used 'categorizing words by meaning', 'comparing use-rate by periods and to the 21st-century-Sejong-Modern-Korean-Corpora', and highly-used-morphemes that appeared only in a specific period. Results: The most highly-used-word-morpheme was first-person-pronouns followed by, diagnosis treatment-related- words, mind-expression-words, cancer, persons-in-meaningful-interaction, living and eating, information-related-verbs, emotion-expression- words, with 240 to 0.8 times for layman use-rate. 'Diagnosis-process', 'cancer-thought', 'things-to-come-after-diagnosis', 'physician husband', 'result-related-information', 'meaningful-things before diagnosis-period', and 'locus-of-cause' dominated the life of the diagnosis-period. 'Treatment', 'unreliable-body', 'husband people mother physician', 'treatment-related-uncertainty', 'hard-time', and 'waiting-time represented experiences in the treatment-period. Themes of living in the self-care-period were complex and included 'living-as-a-human', 'self-managing-of-diseased-body', 'positive-emotion', and 'connecting past present future'. Conclusion: The results show that the experience of living for persons with cancer is influenced by each period's own situational-characteristics. Experiences of the diagnosis and treatment-period are negative disease-oriented while that of the self-care period is positive present-oriented.

CLINICAL STUDY ON SUBMANDIBULAR MASSES (악하부종괴에 대한 임상적 연구)

  • Jang, Hyun-Seok;You, Jun-Young
    • Maxillofacial Plastic and Reconstructive Surgery
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    • v.18 no.4
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    • pp.701-705
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    • 1996
  • There are many kind of diagnostic entities in submandibular or neck masses, and we can set up treatment plan and estimate treatment result, prognosis by accurate diagnosis. By reasoning medical and dental history, physical examination, anatomical consideration of masses in submandibular or neck area, location of masses, laboratory and radiographic studies, we can formulate a clinical diagnosis or differential diagnosis. Although a clinical diagnosis might suffice in some instances, a definitive(microscopic) diagnosis is frequently required for proper treatment. In order to get some information about making accurate diagnosis and setting up appropriate treatment plan, we did clinical study and histopathologic classification of 82 patients who visited and were operated for submandibular masses at Department of Oral and Maxillofacial Surgery in Seoul National University Hospital from 1988 to 1992. The result were as follows : 1. Submandibular masses occured most frequently in forties and fifties, and there was no sex predilection. 2. Chief complaints were in order of mass, swelling, pain and consistency were soft mass, mobile hard mass, firm mass, diffuse swelling in descending order. 3. Most frequent pathologic finding was lymphadenitis. 4. Site of submandibular masses were submandible, neck, submental, retromandible in descending order, and there was no predilection between left and right side. 5. Accuracy rate between clinical impression and result was 51.2%.

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Laryngopharyngeal Reflux Disease: Diagnosis and Treatment in 2021 (인후두 역류 질환: 진단 및 치료)

  • Kang, Jeong Wook;Eun, Young-Gyu
    • Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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    • v.32 no.2
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    • pp.56-63
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    • 2021
  • Laryngopharyngeal reflux disease (LPRD) is an inflammatory condition of the upper aerodigestive tract mucosa induced by reflux content from stomach. Some of vocal cord diseases are associated with laryngopharyngeal reflux. Because of the pathophysiological features, proton pump inhibitor shows therapeutic effect on some vocal cord diseases. As like that, the gastric reflux contents can make macroscopic or microscopic morphological changes in the upper aerodigestive tract mucosa. Although the pathophysiology of LPRD is relatively clear, clinical diagnosis is still difficult. The diagnosis of LPRD includes objective tests such as 24-hours multichannel intraluminal impedance-pH metry and subjective tests such as questionnaire method. However, the objective verification of reflux is difficult due to invasiveness of the method, and the questionnaire methods have limitations because many symptoms are not specific for LPRD. Moreover, most methods are not fully standardized until now. Despite these limitations, many researchers are struggling to standardize diagnosis and treatment of LPRD, and there are several new achievements recently. Therefore, the purpose of this article is to review the recent literature on the clinical presentation, diagnosis, and treatment of LPRD, and to systematize our knowledge.

Implementation of Intelligent Electronic Acupuncture Needles Based on Bluetooth

  • Han, Chang Pyoung;Hong, You Sik
    • International journal of advanced smart convergence
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    • v.9 no.4
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    • pp.62-73
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    • 2020
  • In this paper, we present electronic acupuncture needles we have developed using intelligence technology based on Bluetooth in order to allow anyone to simply receive customized remote diagnosis and treatment by clicking on the menu of the smartphone regardless of time and place. In order to determine the health condition and disease of patients, we have developed a software and a hardware of electronic acupuncture needles, operating on Bluetooth which transmits biometric data to oriental medical doctors using the functions of automatically determining pulse diagnosis, tongue diagnosis, and oxygen saturation; the functions are most commonly used in herbal treatment. In addition, using fuzzy logic and reasoning based on smartphones, we present in this paper an algorithm and the results of completion of hardware implementation for electronic acupuncture needles, appropriate for the body conditions of patients; the algorithm and the hardware implementation are for a treatment time duration by electronic acupuncture needles, an automatic determinations of pulse diagnosis, tongue diagnosis, and oxygen saturation, a function implementation for automatic display of acupuncture point, and a strength adjustment of electronic acupuncture needles. As a result of our simulation, we have shown that the treatment of patients, performed using an Electronic Acupuncture Needles based on intelligence, is more efficient compared to the treatment that was performed before.

Application of sensor and MEMS in medicine (의료에서의 센서와 MEMS 기술 응용)

  • ;Lee, Sang Soon
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.1536-1540
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    • 1997
  • Recently, many advanced technologies in electronics, mechanics, material and computer science have been applied to medictine and they have changed the method of diagnosis and treatment to more quantitative way than before. Now day, with the aid of this technology, the device for the minimal invasive diagnosis and treatment is being developed for the convenience and safety of patients. this paper introduces application of senso and MEMS(Micro Electro Mechnical System) in medicine and biotechnology, which are essential factor for the realization of minimal invasive diagnosis and treatment.

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Current Diagnostic Methods for Periprosthetic Joint Infection

  • Lee, Jiyoung;Park, Heechul;Bae, Jinyoung;Hyun, Hyanglan;Kim, Sunghyun
    • Biomedical Science Letters
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    • v.28 no.1
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    • pp.1-8
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    • 2022
  • Total joint arthroplasty is a successful joint replacement treatment that improves joint function and overall quality of life and provides pain relief. However, the prevalence of periprosthetic joint infection (PJI) has become prevalent with the rise in the incidence of arthroplasty surgery. PJI occurs rarely following arthroplasty however presents with serious complications, including high morbidity. The identification of causative microorganisms is essential for the treatment of PJI. Managing PJI requires complex treatment strategies, including long-term antibacterial treatment, and significant medical costs can be incurred. The American Academy of Orthopedic Surgeons, the Centers for Disease Control and Prevention, and Surgical Care Improvement Project guidelines recommend that prophylactic antibiotics such as first-generation cephalosporins be infused completely 1 hour before surgical incision. However, these preventative antibiotics are very limited, therefore risk factors must be identified to diagnosis and treat patients effectively. Moreover, determining antimicrobial susceptibility during artificial joint surgery and choosing the most appropriate treatment strategy following an accurate diagnosis of microbial infections are essential. In the present review, we describe the management, including the etiology, diagnosis, and classification of PJI, and approaches to its diagnosis using the available novel molecular diagnostic methods.

Application of Artificial Intelligence for the Management of Oral Diseases

  • Lee, Yeon-Hee
    • Journal of Oral Medicine and Pain
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    • v.47 no.2
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    • pp.107-108
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    • 2022
  • Artificial intelligence (AI) refers to the use of machines to mimic intelligent human behavior. It involves interactions with humans in clinical settings, and augmented intelligence is considered as a cognitive extension of AI. The importance of AI in healthcare and medicine has been emphasized in recent studies. Machine learning models, such as genetic algorithms, artificial neural networks (ANNs), and fuzzy logic, can learn and examine data to execute various functions. Among them, ANN is the most popular model for diagnosis based on image data. AI is rapidly becoming an adjunct to healthcare professionals and is expected to be human-independent in the near future. The introduction of AI to the diagnosis and treatment of oral diseases worldwide remains in the preliminary stage. AI-based or assisted diagnosis and decision-making will increase the accuracy of the diagnosis and render treatment more precise and personalized. Therefore, dental professionals must actively initiate and lead the development of AI, even if they are unfamiliar with it.

Cervical Radiculopathy due to Cervical Degenerative Diseases : Anatomy, Diagnosis and Treatment

  • Kim, Kyoung-Tae;Kim, Young-Baeg
    • Journal of Korean Neurosurgical Society
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    • v.48 no.6
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    • pp.473-479
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    • 2010
  • A cervical radiculopathy is the most common symptom of cervical degenerative disease and its natural course is generally favorable. With a precise diagnosis using appropriate tools, the majority of patients will respond well to conservative treatment. Cervical radiculopathy with persistent radicular pain after conservative treatment and progressive or profound motor weakness may require surgery. Options for surgical management are extensive. Each technique has strengths and weaknesses, so the choice will depend on the patient's clinical profile and the surgeon's judgment.

OBET: O-Ring, Bioenergy Test for Diagnosis and Treatment of Tumors (종양의 진단과 치료가 가능한 오베트(OBET:O-Ring, Bioenergy Test)진단법)

  • Hwang, Uei-Hyun;Han, Jong-Hyun
    • THE JOURNAL OF KOREAN ORIENTAL ONCOLOGY
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    • v.6 no.1
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    • pp.149-163
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    • 2000
  • The cells that make up the body continuously undergo cell division to maintain life, but stress and carcinogens, and physiological stimuli suppress immunological functions in the body and change cells to cancerous cells. The only way to overcome cancer is by treatment through early detection and proper diagnosis. However, because early stage of cancer shows subjective symptoms that are similar to those of other common illnesses, even doctors have difficulty separating cancer from common illnesses in its early stage. However, the Ki(bioenergy) present in our body recognizes and changes to the most minute changes in the body. This method of detecting the change in bioenergy to discover a disease in the early stage to raise treatment success is called the OBET: O-Ring, Bioenergy Test. This method, which is based on the theories of oriental medicine, focuses on tumors, especially malignant tumors, and has shown value in diagnosis and treatment, as witnessed in the clinical applications. The diagnosis method and cases of OBET: O-Ring, Bioenergy Test are presented.

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