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Journal articles on the topic 'Diagnosis'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Munshid, Maha Chasib. "The Diagnostic Power Of IL-6 In the Diagnosis of Acute Cholecystitis." International Journal of Medical Science and Dental Health 11, no. 07 (2025): 54–60. https://doi.org/10.55640/ijmsdh-11-07-07.

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Background: Cholecystitis is an inflammatory condition of the gallbladder that varies in severity and is associated with elevated inflammatory markers such as interleukin-6 (IL-6). Understanding the relationship between IL-6 levels and disease severity may improve diagnosis and management. Methods: This case–control study enrolled 68 patients aged 22 to 45 years diagnosed with cholecystitis at Nasiriyah Teaching Hospital, Thi‑Qar City, Iraq, from March 2024 to February 2025. Patients were classified into mild, moderate, and severe groups based on clinical and imaging criteria. Forty healthy pa

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2

Rele, Mayur, and Dipti Patil. "Revolutionizing Liver Disease Diagnosis: AI-Powered Detection and Diagnosis." International Journal of Science and Research (IJSR) 12, no. 11 (2023): 401–7. http://dx.doi.org/10.21275/sr231105021910.

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3

Mashkov, V., and O. Mashkov. "Interpretation of diagnosis problem of system level self-diagnosis." Mathematical Modeling and Computing 2, no. 1 (2015): 71–76. http://dx.doi.org/10.23939/mmc2015.01.071.

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4

Wykes, Til, and Felicity Callard. "Diagnosis, diagnosis, diagnosis: towards DSM-5." Journal of Mental Health 19, no. 4 (2010): 301–4. http://dx.doi.org/10.3109/09638237.2010.494189.

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Brems, Christiane, Mark E. Johnson, Randall Burns, and Nicholas Kletti. "Dual Diagnosis: Variations Across Differing Comorbid Diagnoses." Journal of Dual Diagnosis 2, no. 3 (2006): 109–29. http://dx.doi.org/10.1300/j374v02n03_10.

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6

Makras, Polyzois, Georgios Toloumis, Dimitrios Papadogias, Gregory Kaltsas, and Michael Besser. "The diagnosis and differential diagnosis of endogenous Cushing?s syndrome." HORMONES 5, no. 4 (2006): 231–50. http://dx.doi.org/10.14310/horm.2002.11189.

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7

C Nair, Geethu. "Automated Cataract Diagnosis." International Journal of Science and Research (IJSR) 11, no. 5 (2022): 1284–87. http://dx.doi.org/10.21275/sr22515223235.

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8

M. A. Fakron, Malik. "Medical Diagnosis Chair." Journal of Biomedical and Engineering Research 3, no. 1 (2025): 01–04. https://doi.org/10.64030/3065-8780.03.01.02.

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This research study is introducing new medical equipment, which is called a medical diagnosis chair, as a tool for reducing error due to misunderstanding between Doctor and patient. Protecting the rights of patents and doctors in case of medical error in diagnosis or therapy. This medical chair is only for diagnosing of respiratory system , digestion system ,blood circulating system. Using Artificial intelligence and computer programs for defining the human body problems by using sensors for data collection is a fundamental concept for the diagnosis of medical chairs of a special mask for meas

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Chithaluru, Premkumar, Rithvik Reddy, Bharath Manchana, and Pravallika Reddy. "Medical Diagnosis Assistance." International Journal of Research Publication and Reviews 6, no. 5 (2025): 13619–34. https://doi.org/10.55248/gengpi.6.0525.1935.

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10

Agarwal, Saumya, and Mamta Gupta. "Diagnostic Accuracy of Cytological Sampling Techniques by Bronchoscopy in the Diagnosis of Lung Cancer." Annals of Pathology and Laboratory Medicine 5, no. 5 (2018): A354–361. http://dx.doi.org/10.21276/apalm.1720.

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11

Bergan, John R. "Diagnosis of diagnosis diagnosed." Professional School Psychology 3, no. 2 (1988): 135–40. http://dx.doi.org/10.1037/h0090555.

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12

Lembcke, Bernhard. "Diagnosis, Differential Diagnoses, and Classification of Diverticular Disease." Visceral Medicine 31, no. 2 (2015): 95–102. http://dx.doi.org/10.1159/000380833.

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13

Basha, James, Jenna M. Iwasenko, and William Rawlinson. "Diagnosis of herpesviruses and approaches to difficult diagnoses." Microbiology Australia 31, no. 3 (2010): 115. http://dx.doi.org/10.1071/ma10115.

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Herpesviruses are a ubiquitous family of DNA viruses, with 40?60% of the adult population seropositive for cytomegalovirus (CMV), and more than 90% for Epstein-Barr virus (EBV) and varicella zoster virus (VZV). Following primary infection, herpesviruses become latent in the host and may reactivate during periods of immunosuppression, such as in transplant recipients, HIV-positive patients and pregnant women. The clinical course following reactivation presents a screening and diagnostic challenge, particularly as reactivation in immunosuppressed patients may have a clinical presentation consist

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14

Welton, John M., and Edward J. Halloran. "Nursing Diagnoses, Diagnosis-Related Group, and Hospital Outcomes." JONA: The Journal of Nursing Administration 35, no. 12 (2005): 541–49. http://dx.doi.org/10.1097/00005110-200512000-00008.

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15

Fellowes, Sam. "Self-Diagnosis in Psychiatry and the Distribution of Social Resources." Royal Institute of Philosophy Supplement 94 (September 28, 2023): 55–76. http://dx.doi.org/10.1017/s1358246123000218.

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AbstractI suggest that the diagnosis that an individual self-diagnoses with can be influenced by levels of public awareness. Accurate diagnosis requires consideration of multiple diagnoses. Sometimes, different diagnoses can overlap with one another and can only be differentiated in subtle and nuanced ways, but particular diagnoses vary considerably in levels of public awareness. As such, an individual may meet the diagnostic criteria for one diagnosis but self-diagnoses with a different diagnosis because it is better known. I then outline a potential negative consequence of this. Psychiatric

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16

Zhang, Pengfei. "The Structure and Organizations of ICHD-3 Differential Diagnoses through DiffNet: A Pilot Study." Diagnostics 12, no. 11 (2022): 2589. http://dx.doi.org/10.3390/diagnostics12112589.

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Differential diagnosis is fundamental to medicine. Using DiffNet, a differential diagnosis generator, as a model, we studied the structure and organization of how collections of diagnoses (i.e., sets of diagnoses) are related in the ICHD3. Furthermore, we explored the clinical and theoretical implication of these answers. Methods: DiffNet is a freely distributed differential diagnosis generator for headaches using graph theoretical properties of ICHD3: (1) DiffNet considers each ICHD3 diagnosis as a node. (2) An edge exists between two ICHD3 diagnoses if they are connected by either classifica

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17

Abu-Jeyyab, Mohammad. "Incidental Intra Laparoscopic Cholecystectomy Diagnosis of a Gallbladder Agenesis, A Rare Diagnosis." Gastroenterology & Hepatology International Journal 7, no. 2 (2022): 1–4. http://dx.doi.org/10.23880/ghij-16000200.

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Gallbladder agenesis is quite a rare anomaly; it’s probably due to an embryologic mishap within the development of the hepatobiliary bud and is predominately associated with other congenital abnormalities. Most patients will stay asymptomatic; however, some will develop symptoms that mimic those of biliary, urinary, or gastrointestinal disorders. Symptoms typically appear within the fourth or fifth decade of patient life. For these reasons, gallbladder agenesis might be misdiagnosed. Leading to unnecessary surgery. This paper reports a case of gallbladder agenesis of a 41-year-old male. Presen

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18

Büyükbayrak, Fuat. "An evaluation of diagnostic sensitivity of transthoracic echocardiography in diagnosis of post-cardiac surgery tamponade." Turkish Journal of Thoracic and Cardiovascular Surgery 22, no. 1 (2014): 35–42. http://dx.doi.org/10.5606/tgkdc.dergisi.2014.9014.

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19

Dr. Nupur Sah, Dr Nupur Sah, Dr Hemant Bhutani, and Dr Priyadarshini Shetty. "Halitosis – Etiology and Diagnosis." Indian Journal of Applied Research 3, no. 11 (2011): 352–54. http://dx.doi.org/10.15373/2249555x/nov2013/109.

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20

Hron, J. "Diagnosis of business health." Agricultural Economics (Zemědělská ekonomika) 50, No. 12 (2012): 535–42. http://dx.doi.org/10.17221/5245-agricecon.

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Every business grows, develops and dies within its life-cycle, dependent on its relations with the external and internal environment. Its &ldquo;flexibility&rdquo; and ability to &ldquo;influence&rdquo; both the internal and external environment are indications of its &ldquo;health&rdquo;. A&nbsp;healthy business is characterized by those parameters of its structure and behaviour that encourage its further development in any given environment. The &ldquo;health&rdquo; of the business is determined by the level of its homeostasis with the internal and externa

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21

Gulhane, Dr Sushma R., Dr Madhuri S. Kate, and Dr Smita Sonawane. "Cytological Diagnosis of Rhinoscleroma." International Journal of Scientific Research 3, no. 7 (2012): 329–31. http://dx.doi.org/10.15373/22778179/july2014/97.

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22

Shimoda, Tetsuya, and Tetsushi Yamagami. "What is your Diagnosis?" Journal of Japan Veterinary Cancer Society 3, no. 2 (2012): GIJU7—GIJU10. http://dx.doi.org/10.12951/jvcs.2012-993.

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23

Irie, Mituhiro, and Tetsushi Yamagami. "What is your Diagnosis ?" Journal of Japan Veterinary Cancer Society 3, no. 1 (2012): GIJU1—GIJU6. http://dx.doi.org/10.12951/jvcs.2012-999.

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24

Takahashi, Masashi. "What is your Diagnosis?" Journal of Japan Veterinary Cancer Society 4, no. 2 (2013): GIJU5—GIJU8. http://dx.doi.org/10.12951/jvcs.2013-994.

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25

Matsuyama, Fumiko. "What is your Diagnosis?" Journal of Japan Veterinary Cancer Society 4, no. 1 (2013): GIJU1—GIJU4. http://dx.doi.org/10.12951/jvcs.2013-999.

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26

Ito, Tetsuro. "What is your Diagnosis?" Journal of Japan Veterinary Cancer Society 5, no. 1 (2014): GIJU1—GIJU6. http://dx.doi.org/10.12951/jvcs.2014-999.

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27

Das, Subhashis. "Artificial Intelligence in Diagnosis." JOURNAL OF CLINICAL AND BIOMEDICAL SCIENCES 13, no. 4 (2023): 100–101. http://dx.doi.org/10.58739/jcbs/v13i4.editorial.

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28

Kurniawan, Liong Boy, and Mansyur Arif. "DIAGNOSIS TIROID (Diagnosis of Thyroid)." INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY 21, no. 3 (2018): 304. http://dx.doi.org/10.24293/ijcpml.v21i3.1285.

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Thyroid disease often causes unspecific or mild symptoms, so laboratory tests are needed to confirm the functional diagnosis of thethyroid disorder. The laboratory tests which are important to establish the diagnosis of thyroid disorder include: total and free thyroidhormones, its related (thyroid) hormone binding proteins and auto antibodies. The thyroid hormone tests are mostly measured withcompetitive or sandwich immunoassays and each method can be interfered by several factors. Some drugs may increase or decrease thethyroid functional tests and several factors such as: underlying diseases,

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29

Brown, James H., Allen Berkal, Samia Barakat, and Robert Mcilwraith. "Personality Diagnosis and Illness Diagnosis." Canadian Journal of Psychiatry 30, no. 6 (1985): 428–33. http://dx.doi.org/10.1177/070674378503000611.

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30

Brown, Phil, Mercedes Lyson, and Tania Jenkins. "From diagnosis to social diagnosis." Social Science & Medicine 73, no. 6 (2011): 939–43. http://dx.doi.org/10.1016/j.socscimed.2011.05.031.

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31

Elmishali, Amir, Roni Stern, and Meir Kalech. "Data-Augmented Software Diagnosis." Proceedings of the AAAI Conference on Artificial Intelligence 30, no. 2 (2016): 4003–9. http://dx.doi.org/10.1609/aaai.v30i2.19076.

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Software fault prediction algorithms predict which software components is likely to contain faults using machine learning techniques. Software diagnosis algorithm identify the faulty software components that caused a failure using model-based or spectrum based approaches. We show how software fault prediction algorithms can be used to improve software diagnosis. The resulting data-augmented diagnosis algorithm overcomes key problems in software diagnosis algorithms: ranking diagnoses and distinguishing between diagnoses with high probability and low probability. We demonstrate the efficiency o

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32

Stern, Roni, Meir Kalech, Alexander Feldman, and Gregory Provan. "Exploring the Duality in Conflict-Directed Model-Based Diagnosis." Proceedings of the AAAI Conference on Artificial Intelligence 26, no. 1 (2021): 828–34. http://dx.doi.org/10.1609/aaai.v26i1.8231.

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A model-based diagnosis problem occurs when an observation is inconsistent with the assumption that the diagnosed system is not faulty. The task of a diagnosis engine is to compute diagnoses, which are assumptions on the health of components in the diagnosed system that explain the observation. In this paper, we extend Reiter's well-known theory of diagnosis by exploiting the duality of the relation between conflicts and diagnoses. This duality means that a diagnosis is a hitting set of conflicts, but a conflict is also a hitting set of diagnoses. We use this property to interleave the search

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33

Mohammed Alanazi, Faheem, Ali Alyami, and Najd Mujawwil Alanazi. "Discrepancy between Hospital Discharge Diagnosis and Emergency Department Admission Diagnosis." Journal of Pharmaceutical Research International 35, no. 1 (2023): 18–23. http://dx.doi.org/10.9734/jpri/2023/v35i17299.

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The objective is to investigate the matching between emergency department and discharge diagnosis as well as how investigations affect accurately of emergency department diagnosis. The study was conducted retrospectively over a six-month period. Setting: The emergency department Department at king Saud medical (KSMC), including four in-patient specialties: orthopedics, surgery, and medicine. Subjects: All patients that entered the emergency room during the study period. The correlation degree of hospital discharge diagnosis and admission diagnosis serve as the primary outcome markers. Results:

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34

Nurjannah, Intansari, Dewi Retno Pamungkas, and Sri Warsini. "Perbandingan Antara Diagnosis yang Sering Ditegakkan dan Possible Diagnosis yang Diprediksikan oleh Perawat Pada Klien dengan Gangguan Jiwa." Jurnal Keperawatan Klinis dan Komunitas 1, no. 1 (2017): 8. http://dx.doi.org/10.22146/jkkk.29011.

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Background: There is not enough information related to the accuracy of nursing and collaborative diagnoses established by nurses in psychiatric setting in Indonesia.Objective: The objective of this study was to identify the correspondence between nursing and collaborative diagnoses established and predicted by nurses.Methods: This was a descriptive cross-sectional study which employed 81 nurse respondents. Data were collected in 2013 using two types of questionnaires. The rst questionnaire was used to identify the most frequent nursing and collaborative diagnoses encountered by the nurses. The

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35

Hu, He-xuan, Anne-Lise Gehin, and Mireille Bayart. "Relation between global diagnosis and diagnoses obtained from subsystems." IFAC Proceedings Volumes 42, no. 4 (2009): 379–84. http://dx.doi.org/10.3182/20090603-3-ru-2001.0308.

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36

Bond, Emily O., Jean Urick, and M. Kay M. Judge. "Nursing Diagnosis at Work: From Metaphors to Nursing Diagnoses." International Journal of Nursing Terminologies and Classifications 10, no. 2 (1999): 81–83. http://dx.doi.org/10.1111/j.1744-618x.1999.tb00030.x.

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37

Madan, NehaK, Shilpi Agarwal, Smita Singh, and Manjula Jain. "Pigmented basal cell carcinoma: Cytological diagnosis and differential diagnoses." Journal of Cytology 29, no. 4 (2012): 273. http://dx.doi.org/10.4103/0970-9371.103952.

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38

Halloran, Edward J. "Nursing workload, medical diagnosis related groups, and nursing diagnoses." Research in Nursing & Health 8, no. 4 (1985): 421–33. http://dx.doi.org/10.1002/nur.4770080415.

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39

Mahich, Mahesh Kumar, Ghanshyam Rathi, and Mahendra Kumar Agrawal. "The Utility of Transbronchial Needle Aspiration and Conventional Diagnostic Procedures in the Diagnosis of Bronchogenic Carcinoma." Asian Journal of Medical Research 8, no. 3 (2019): TB01—TB05. http://dx.doi.org/10.21276/ajmr.2019.8.3.tb1.

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40

Pandey, Hari Shankar, Manoj Kumar Gupta, Ashima Pradhan, and Asha Agrawal. "Optical Spectroscopy as a Diagnostic Tool in Oropharyngeal Carcinoma & Its Correlation with Clinico-Histological Diagnosis." Indian Journal of Pathology: Research and Practice 5, no. 3 (2016): 317–23. http://dx.doi.org/10.21088/ijprp.2278.148x.5316.13.

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41

Hirosawa, Takanobu, Yukinori Harada, Masashi Yokose, Tetsu Sakamoto, Ren Kawamura, and Taro Shimizu. "Diagnostic Accuracy of Differential-Diagnosis Lists Generated by Generative Pretrained Transformer 3 Chatbot for Clinical Vignettes with Common Chief Complaints: A Pilot Study." International Journal of Environmental Research and Public Health 20, no. 4 (2023): 3378. http://dx.doi.org/10.3390/ijerph20043378.

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The diagnostic accuracy of differential diagnoses generated by artificial intelligence (AI) chatbots, including the generative pretrained transformer 3 (GPT-3) chatbot (ChatGPT-3) is unknown. This study evaluated the accuracy of differential-diagnosis lists generated by ChatGPT-3 for clinical vignettes with common chief complaints. General internal medicine physicians created clinical cases, correct diagnoses, and five differential diagnoses for ten common chief complaints. The rate of correct diagnosis by ChatGPT-3 within the ten differential-diagnosis lists was 28/30 (93.3%). The rate of cor

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42

Ageely, Ghofran, Carolina Souza, Kaissa De Boer, Saly Zahra, Marcio Gomes, and Nha Voduc. "The Impact of Multidisciplinary Discussion (MDD) in the Diagnosis and Management of Fibrotic Interstitial Lung Diseases." Canadian Respiratory Journal 2020 (August 17, 2020): 1–6. http://dx.doi.org/10.1155/2020/9026171.

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Accurate diagnosis of interstitial lung disease (ILD) is crucial for management and prognosis but can be challenging even for experienced clinicians. Expert multidisciplinary discussion (MDD) is considered the reference standard for ILD diagnosis; however, there remain concerns regarding lack of validation studies and relative limited information on the impact of MDD in real-life clinical practice. The goal of this study was to assess the effect of MDD in providing a specific ILD diagnosis, changing the diagnosis provided upon referral, and to determine how often and in which way MDD altered m

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43

Fridell, Mats, and Morton Hesse. "Clinical Diagnosis and SCID-II Assessment of DSM-III-R Personality Disorders." European Journal of Psychological Assessment 22, no. 2 (2006): 104–8. http://dx.doi.org/10.1027/1015-5759.22.2.104.

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Aim: To assess the diagnostic concordance of SCID-II and clinicians' estimation of DSM-III-R personality disorders of substance abusers. Method: Clinical diagnoses of substance abusers in inpatient treatment were compared with SCID-II diagnoses (N = 138). Findings: The overall prevalence of personality disorder was 79% for clinical diagnosis and 80% for SCID-II diagnosis. Substantial agreement was found for borderline personality disorder, and moderate agreement was found for presence of any personality disorder, and antisocial personality disorder. All other disorders had slight to fair agree

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44

Smith, Mark Scott, Jeff Mitchell, Elizabeth A. McCauley, and Rosemary Calderon. "Screening for Anxiety and Depression in an Adolescent Clinic." Pediatrics 85, no. 3 (1990): 262–66. http://dx.doi.org/10.1542/peds.85.3.262.

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The Spielberger State-Trait Anxiety Inventory (STAI) and the Children's Depression Inventory (CDI) were administered to 228 consecutive adolescent clinic patients and provisional physician diagnoses were compared with test scores obtained in 205 valid replies. The age range was 10 to 17 with a mean ± SD of 14.3 ± 1.8 years. Racial distribution was 176 white, 21 black, 4 Asian, and 4 other. The provisional diagnoses were categorized as follows: medical diagnosis only, 140; psychiatric diagnosis only, 45; and combined medical/psychiatric diagnosis, 20. Mean scores ± SD for the entire study popul

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45

Woolf, P. Grahame, John O'Shea, and Peter J. Davies. "Diagnosis." Musical Times 132, no. 1778 (1991): 196. http://dx.doi.org/10.2307/966139.

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46

Grieve, Gregory P. "Diagnosis." Physiotherapy Practice 4, no. 2 (1988): 73–77. http://dx.doi.org/10.3109/09593988809159054.

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47

Mazza, J. J. "Diagnosis?" Clinical Medicine & Research 2, no. 4 (2004): 253. http://dx.doi.org/10.3121/cmr.2.4.253.

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48

Carson, Mike. "Diagnosis." Hopkins Review 2, no. 2 (2009): 231. http://dx.doi.org/10.1353/thr.0.0071.

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49

Rosenfeld, Richard M. "Diagnosis." Otolaryngology–Head and Neck Surgery 151, no. 1 (2014): 1–3. http://dx.doi.org/10.1177/0194599814533287.

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50

DeMauro, Christopher A., and Mindy M. Horrow. "Diagnosis." Ultrasound Quarterly 24, no. 2 (2008): 121–23. http://dx.doi.org/10.1097/ruq.0b013e31817b62b8.

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