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DFAT COUNTRY INFORMATION REPORT TURKEY 9 October 2018
DFAT COUNTRY INFORMATION REPORT TURKEY 9 October 2018 MAP This map is presented for information only. The Department of Foreign Affairs and Trade accepts no responsibility for errors or omission of any geographic feature. Nomenclature and territorial boundaries may not necessarily reflect Australian government policy. Provided by the Commonwealth of Australia under Creative Commons Attribution 3.0 Australia licence. DFAT Country Information Report Turkey 2 CONTENTS ACRONYMS 4 GLOSSARY 6 1. PURPOSE AND SCOPE 7 2. BACKGROUND INFORMATION 8 Recent History 8 Demography 9 Economic Overview 9 Political System 14 Human Rights Framework 15 Security Situation 17 3. REFUGEE CONVENTION CLAIMS 20 Race/Nationality 20 Religion 22 Political Opinion (Actual or imputed) 26 Groups of Interest 32 4. COMPLEMENTARY PROTECTION CLAIMS 41 Arbitrary Deprivation of Life 41 Death Penalty 42 Torture and other Cruel, Inhuman or Degrading Treatment or Punishment 43 5. OTHER CONSIDERATIONS 46 State Protection 46 Internal Relocation 50 Treatment of Returnees 51 Documentation 52 DFAT Country Information Report Turkey 3 ACRONYMS AKP Justice and Development Party, the ruling conservative political party AKS Address Registration System BTK Information and Communication Technologies Authority CAT Convention against Torture and Other Cruel Inhuman or Degrading Treatment or Punishment CEDAW UN Convention on the Elimination of All Forms of Discrimination against Women CERD International Convention on the Elimination of All Forms of Racial Discrimination CHP Republican People’s -
2021 Yılı Ana Arter Listesi.Xlsx
ÖNEMLİ UYARI: İşyerinin veya reklamın bulunduğu yer aşağıdaki listede yer alan anaarterlere cepheli ise İlan ve Reklam Vergisi Beyannamesinin İstanbul Büyükşehir Belediyesine, değilse İlçe Belediyesine verilmesi gerekmektedir. İşyerinin bulunduğu binanın anaartere cephesi varsa, bina üzerindeki tüm reklamların (Sokağa bakan cephedekiler de dahil) 5216 Sayılı Büyükşehir Belediyesi Kanun'unun 23/e maddesi gereğince İstanbul Büyükşehir Belediyesi'ne beyan edilmesi yasal zorunluluktur. İSTANBUL BÜYÜKŞEHİR BELEDİYESİ 2021 YILI ANAARTER LİSTESİ İLÇE ADI GRUP ANAARTER ADI ADALAR 3 Akasya Cad.(KINALIADA MAH) ADALAR 3 Alsancak Cad.(KINALIADA MAH) ADALAR 3 Altınordu Sk.(BÜYÜKADA-MADEN MAH) ADALAR 3 Ayyıldız Cad.(HEYBELİADA MAH) ADALAR 3 Barbaros Hayrettin Cad.(BURGAZADA MAH) ADALAR 3 Büyük İskele Cad.(BÜYÜKADA-NİZAM MAH) ADALAR 3 Büyük Tur Yolu Sk.(BÜYÜKADA-MADEN MAH) ADALAR 3 Büyük Tur Yolu Sk.(BÜYÜKADA-NİZAM MAH) ADALAR 3 Cami Sk.(BURGAZADA MAH) ADALAR 3 Çankaya Cad.(BÜYÜKADA-NİZAM MAH) ADALAR 3 Çınar Cad.(BÜYÜKADA-MADEN MAH) ADALAR 3 Çınar Cad.(BÜYÜKADA-NİZAM MAH) ADALAR 3 Çınar Meydanı(BÜYÜKADA-MADEN MAH) ADALAR 3 Gezinti Cad.(BURGAZADA MAH) ADALAR 3 Gönüllü Cad.(BURGAZADA MAH) ADALAR 3 Gülistan Cad.(BÜYÜKADA-NİZAM MAH) ADALAR 3 İskele Meydanı(Büyükada)(BÜYÜKADA-NİZAM MAH) ADALAR 3 Kınalı Çarşı Cad.(KINALIADA MAH) ADALAR 3 Lozan Zaferi Sk.(HEYBELİADA MAH) ADALAR 3 Malül Gazi Cad.(BÜYÜKADA-MADEN MAH) ADALAR 3 Nizam Cad.(BÜYÜKADA-NİZAM MAH) ADALAR 3 Refah Şehitleri Cad.(HEYBELİADA MAH) ADALAR 3 Şehit Recep Koç Cad.(BÜYÜKADA-MADEN MAH) ADALAR -
Istanbul Büyükşehir Belediyesi 2019 Yili Anaarter Listesi
İSTANBUL BÜYÜKŞEHİR BELEDİYESİ 2019 YILI ANAARTER LİSTESİ İLÇE ADI GRUP ANAARTER ADI SANCAKTEPE 2 Ankara Cad.(İNÖNÜ MAH) SANCAKTEPE 2 Ankara Cad.(MECLİS MAH) SANCAKTEPE 2 Aşık Reyhani Cad.(VEYSEL KARANİ MAH) SANCAKTEPE 2 Atatürk Cad.(ATATÜRK MAH) SANCAKTEPE 2 Atatürk Cad.(EMEK MAH) SANCAKTEPE 2 Atatürk Cad.(KEMAL TÜRKLER MAH) SANCAKTEPE 2 Atatürk Cad.(MECLİS MAH) SANCAKTEPE 2 Atatürk Cad.(MECLİS MAH(ÜMRANİYE İLE SINIR CAD.) SANCAKTEPE 2 Atatürk Cad.(MERVE MAH) SANCAKTEPE 2 Atatürk Cad.(MEVLANA MAH) SANCAKTEPE 2 Atatürk Cad.(SAFA MAH) SANCAKTEPE 2 Atatürk Cad.(SARIGAZİ MAH) SANCAKTEPE 2 Atayolu Cad.(ABDURRAHMAN GAZİ MAH) SANCAKTEPE 2 Atayolu Cad.(MEVLANA MAH) SANCAKTEPE 2 Atayolu Cad.(MEVLANA MAH(SULTANBEYLİ İLE SINIR CAD.) SANCAKTEPE 2 Atayolu Cad.(OSMAN GAZİ MAH) SANCAKTEPE 2 Atayolu Cad.(PAŞAKÖY KÖYÜ) SANCAKTEPE 2 Bahçelievler Cad.(SAFA MAH) SANCAKTEPE 2 Bahçelievler Cad.(YENİDOĞAN MAH) SANCAKTEPE 2 Bakkalköy Cad.(BÜYÜK BAKKALKÖY MAH(MALTEPE İLE SINIR CAD.) SANCAKTEPE 2 Baraj Yolu Cad.(MİMAR SİNAN MAH(SULTANBEYLİ İLE SINIR CAD.) SANCAKTEPE 2 Baraj Yolu Cad.(YENİ SANAYİ MAH(ÜMRANİYE İLE SINIR CAD.) SANCAKTEPE 2 Barbaros Cad.(YENİDOĞAN MAH) SANCAKTEPE 2 Barbaros Cad.(YUNUS EMRE MAH) SANCAKTEPE 2 Battalgazi Cad.(OSMAN GAZİ MAH) SANCAKTEPE 2 Çolakoğlu Sk.(VEYSEL KARANİ MAH) SANCAKTEPE 2 Deha Cad.(EYÜP SULTAN MAH) SANCAKTEPE 1 D-100 - E-80 Bağlantı Yolu SANCAKTEPE 2 Elmalı Sk.(VEYSEL KARANİ MAH) SANCAKTEPE 1 Hoca Nasrettin Cad.(EYÜP SULTAN MAH) SANCAKTEPE 1 İmam Rabbani Cad.(EYÜP SULTAN MAH) SANCAKTEPE 2 Kanuni Cad.(AKPINAR MAH) SANCAKTEPE -
Re-Reading Dynamics of the City of Istanbul Through Critical Mapping
Gazi University Journal of Science GU J Sci 29(2):403-412 (2016) Re-Reading Dynamics of The City of Istanbul Through Critical Mapping Demet MUTMAN1, 1 Maltepe University, Faculty of Architecture and Design, 34857 Maltepe Istanbul, Turkey Received: 18/04/2016 Revised:21/04/2016 Accepted: 26/04/2016 ABSTRACT The aim of this paper is to re-read and define differentiating layers of the city of Istanbul through critical mappings as an interrogative socio-spatial research. Through this form of a new city read, information on daily urban and social practices, global impacts and urban and economic effects of consumption over space would be exposed among five different thematic constellations rooted from Guy Debord's The Society of the Spectacle. The author aims to clarify socio-spatial constellations over space, time and current trends by deconstructing the current city formation of Istanbul. Key words: Critical mapping, Istanbul, socio-spatial research 1. INTRODUCTION Maps have been used to represent the urban environment as only geographical conditions, but a hidden socio-political well as the representational structure of a city from information as a tool of a hegemonic strategy. geographical maps and measurements of ancient Babylon, Syria and Palestine, to the topographical representations Through this article maps as strategic tools of the ideology and cadastral maps that were developed by Egyptians. will therefore be used as a potential to criticize a social and Romans developed city maps similar to today’s structure spatial environment by using the potential of its where the detailed construction plans for engineers and the representational techniques however reversing its formation of current city plans were developed. -
A Model for Determining the Locations of Electric Vehicles' Charging
Pamukkale Univ Muh Bilim Derg, 25(9), 1056-1061, 2019 (LMSCM’2018-16. Uluslararası Lojistik ve Tedarik Zinciri Kongresi Özel Sayısı) Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi Pamukkale University Journal of Engineering Sciences A model for determining the locations of electric vehicles’ charging stations in Istanbul İstanbul’da elektrikli araç şarj istasyonlarının konumlandırılması için bir model Büşra Gülnihan DAŞCIOĞLU1* , Gülfem TUZKAYA2 , Hüseyin Selçuk KILIÇ3 1,2,3Department of Industrial Engineering, Engineering Faculty, Marmara University, İstanbul, Turkey. [email protected], [email protected], [email protected] Received/Geliş Tarihi: 15.06.2019, Accepted/Kabul Tarihi: 21.11.2019 doi: 10.5505/pajes.2019.28475 * Corresponding author/Yazışılan Yazar Special Issue Article/Özel Sayı Makalesi Abstract Öz The studies about Electric Vehicles (EV) have gained importance and Klasik ulaştırma sistemlerinin çevresel kaygıları göz önünde increased in the last years depending on the environmental concerns of bulundurulduğunda, elektrikli araçlarla (EA) ilgili çalışmalar önem the classic transportation systems. One of the problems to consider at kazanmış ve son yıllarda sayıca artmıştır. Bu noktada ele alınması this point is locating the proper points of electric charging stations for gereken sorunlardan biri EA’lar için şarj istasyonlarının uygun EVs. The primary objective of this research is to locate the electric yerlerinin belirlenmesidir. Bu çalışmanın temel amacı, İstanbul'daki charging stations in Istanbul considering the flow of the paths. The elektrik şarj istasyonlarına ilişkin en uygun konumları yolların akışını locations of electric charging stations are determined by using a değerlendirmeye alarak bulmaktır. Şarj istasyonlarının konumları, mathematical model based on the flow-refuelling location model with yolların kapsanan akışını maksimize etmeyi amaçlayan akış-yakıt the aim of maximizing the captured flow. -
Sira No Adi Soyadi Unvani Önceki Çaliştiği Ilçe Önceki
129. EK TERCİH VE YERLEŞTİRME İŞLEMLERİNDE YER DEĞİŞİKLİĞİ YAPAN VE AİLE HEKİMLİĞİ HİZMET SÖZLEŞMESİ İMZALAYAN HEKİM LİSTESİ ÖNCEKİ ÇALIŞTIĞI SIRA YERLEŞTİĞİ AİLE GÖREVE ADI SOYADI UNVANI ÖNCEKİ ÇALIŞTIĞI İLÇE ÖNCEKİ ÇALIŞTIĞI AİLE SAĞLIĞI MERKEZİ AİLE HEKİMLİĞİ YENİ YERLEŞTİĞİ İLÇE YENİ YERLEŞTİĞİ AİLE SAĞLIĞI MERKEZİ BAŞVURU ŞEKLİ NO HEKİMLİĞİ BİRİMİ BAŞLAYIŞ TARİHİ BİRİMİ 01.07.2021 YER DEĞİŞİKLİĞİ 1 HAKAN SARIKAYA AİLE HEKİMLİĞİ UZMANI BEYLİKDÜZÜ Kavaklı 2 Nolu ASM 34.12.024 AVCILAR Bizimevler ASM 34.04.100 01.07.2021 YER DEĞİŞİKLİĞİ 2 MEHMET BAYKAL AİLE HEKİMLİĞİ UZMANI BAĞCILAR Bağcılar 8 Nolu ASM 34.05.056 BAHÇELİEVLER Bahçelievler 5 Nolu ASM 34.06.095 01.07.2021 YER DEĞİŞİKLİĞİ 3 ELVAN ANIL AİLE HEKİMLİĞİ UZMANI ŞİŞLİ Şişli 15 Nolu ASM 34.35.098 BEŞİKTAŞ Beşiktaş 1 Nolu ASM 34.10.020 01.07.2021 YER DEĞİŞİKLİĞİ 4 MARIANNA MART PRATİSYEN ARNAVUTKÖY İmrahor ASM 34.02.082 ARNAVUTKÖY İmrahor ASM 34.02.030 01.07.2021 YER DEĞİŞİKLİĞİ 5 SULTAN BAYSAL PRATİSYEN KADIKÖY Kadıköy 4 Nolu ASM 34.23.026 ATAŞEHİR Fetih Öz Çiftçi ASM 34.03.003 01.07.2021 YER DEĞİŞİKLİĞİ 6 SALOMON FİDELY JARNE PRATİSYEN KADIKÖY Kadıköy 13 Nolu ASM 34.23.152 ATAŞEHİR Küçükbakkalköy ASM 34.03.044 01.07.2021 YER DEĞİŞİKLİĞİ 7 HATİCE ARSLAN PRATİSYEN SANCAKTEPE Sancaktepe 28 Nolu ASM 34.29.132 ATAŞEHİR Küçükbakkalköy ASM 34.03.046 01.07.2021 YER DEĞİŞİKLİĞİ 8 RUKEN AYDIN PRATİSYEN ÜMRANİYE Ümraniye 30 Nolu ASM 34.37.194 ATAŞEHİR Ataşehir ASM 34.03.062 01.07.2021 YER DEĞİŞİKLİĞİ 9 MUHAMMED MARAŞLI PRATİSYEN AVCILAR Yeşilkent 2 Nolu ASM 34.04.139 AVCILAR Yeşilkent 2 -
Republic of Turkey Preparatory Survey on Hospital Establishment Project in Aydin Province
REPUBLIC OF TURKEY MINISTRY OF HEALTH REPUBLIC OF TURKEY PREPARATORY SURVEY ON HOSPITAL ESTABLISHMENT PROJECT IN AYDIN PROVINCE FINAL REPORT (PUBLIC VERSION) September, 2015 JAPAN INTERNATIONAL COOPERATION AGENCY MAEDA CORPORATION INTERNATIONAL TOTAL ENGINEERING OS CORPORATION JR(先) LSI MEDIENCE CORPORATION 15-083 REPUBLIC OF TURKEY MINISTRY OF HEALTH REPUBLIC OF TURKEY PREPARATORY SURVEY ON HOSPITAL ESTABLISHMENT PROJECT IN AYDIN PROVINCE FINAL REPORT (PUBLIC VERSION) September, 2015 JAPAN INTERNATIONAL COOPERATION AGENCY MAEDA CORPORATION INTERNATIONAL TOTAL ENGINEERING CORPORATION LSI MEDIENCE CORPORATION Japan International Cooperation Agency Preparatory Survey on Hospital Establishment Project in Aydın Province, Republic of Turkey Contents CHAPTER 1. OUTLINE OF THE SURVEY ................................................................... 1 1. BACKGROUND OF THE SURVEY ................................................................................................................... 1 2. TARGET AND OBJECTIVES OF THE SURVEY .................................................................................................. 2 2-1. Target of the Survey ........................................................................................................................... 2 2-2. Objectives of the Survey .................................................................................................................... 2 3. CONTENTS AND POLICIES OF THE SURVEY ................................................................................................. -
JMSCR Vol||06||Issue||03||Page 652-655||March 2018
JMSCR Vol||06||Issue||03||Page 652-655||March 2018 www.jmscr.igmpublication.org Impact Factor (SJIF): 6.379 Index Copernicus Value: 71.58 ISSN (e)-2347-176x ISSN (p) 2455-0450 DOI: https://dx.doi.org/10.18535/jmscr/v6i3.110 A Clinico-Pathological Correlation Study of the Spectrum of Non-Infectious, Scaly Skin Lesions Authors Dr Priya Banthavi Sivasubramanian1, Dr R.Suganya2, Dr Manimegalai Singaram3, Dr V.Sarada4, Dr N. Balasubramanian5 1Associate Professor of Pathology, Chennai Medical College Hospital and Research Centre, Irungalur, Tiruchirappalli 621105 2Assistant Professor of Pathology, Chennai Medical College Hospital And Research Centre, Irungalur, Tiruchirappalli.621105 3Consultant Pathologist, Tiruchirappalli.621105 4Prof and Head, Dept of Pathology, Chennai Medical College Hospital and Research Centre, Irungalur, Tiruchirappalli.621105 5Prof and Head, Dept of Dermatology, Chennai Medical College Hospital and Research Centre, Irungalur, Tiruchirappalli.621105 Corresponding Author Dr Priya Banthavi Sivasubramanian Associate Professor, Department of Pathology, Chennai Medical College Hospital and Research Centre, Irungalur, Tiruchirappalli, Tamilnadu.621105 Email: [email protected], Phone: 9842445404 Abstract A prospective correlation study was done on 51 patients, clinically diagnosed to have non-infectious, scaly skin lesions falling under the spectrum of Papulosquamous disorders. Thirty six of these patients were found to have good clinical and histopathological correlation. Keywords: non-infectious scaly skin lesions, papulosquamous disease. Introduction dermatologist in instituting proper therapy and can Papulosquamous diseases form the largest vary the prognosis significantly. conglomerate group of skin disease(1) wherein all are characterized by scaling papules, hence Materials and Methods confusion may result in their clinical diagnosis. All patients attending the Dermatology OPD Therefore, histopathological analysis is important between July 2014 and June 2016, with a clinical for a more definitive differentiation. -
Clientelism and Dominance: Evidence from Turkey
Clientelism and Dominance: Evidence from Turkey Inauguraldissertation zur Erlangung des Doktorgrades der Wirtschafts- und Sozialwissenschaftlichen Fakultät der Universität zu Köln 2019 vorgelegt von DÜZGÜN ARSLANTAŞ, M.Sc. aus Tunceli (Türkei) Referent: Prof. Dr. André Kaiser Korreferent: Prof. Dr. Stephan Conermann Tag der Promotion: 09.09.2019 ii To labor, love and peace…. iii ACKNOWLEDGEMENTS In the completion of this dissertation, many people have undoubtedly played a role. First and foremost is my supervisor, Prof. André Kaiser. I would like to thank him for all the support he has given me during this challenging process. He always encouraged me with his positive and friendly attitude and made me extremely efficient in dealing with the thesis and life. I feel very lucky to have worked under his supervision and hope that we can find common ground to work together in the future as well. Similarly, I would like to thank my second supervisor, Prof. Stephan Conermann, for his constructive views and suggestions. My thanks also go to Prof. Christine Trampusch, who chaired the disputation. This thesis would certainly not be complete without unique institutional support. In this context, I am grateful to the IMPRS-SPCE at the Max Planck Institute for the Study of Societies and to the Cologne Center for Comparative Politics (CCCP) for providing a unique working environment and amazing facilities. My special thanks go to our directors, Prof. Jens Beckert and Prof. Lucio Baccaro, and the faculty member Prof. Martin Höpner, who were always very supportive in the feedback sessions. In addition, I am grateful to our administrative and academic coordinators, Ursula and Gudrun, reception members Christiane and Enke, and all library and editorial team members. -
147 Akp's Local Politics: Perceived Discrimination As
Alternative Politics, Vol. 4, No. 2, 147-179, July 2012 147 AKP’S LOCAL POLITICS: PERCEIVED DISCRIMINATION AS AN OBSTACLE TO ETHNIC MOBILIZATION Gül Arıkan AKDAĞ* ABSTRACT This paper will be an attempt to explain changes in ethnic votes by focusing at local political activities of political parties and relating them to theories of ethnic solidarity. It will try to demonstrate how perceived discrimination and intergroup polarization affect the ability of the AKP to form permanent channels of communication among citizens of Kurdish origin, making their incorporation in the political network of the party more difficult. Within this respect, the study will mainly analyze whether AKP’s local organization characteristics and activities changes across districts that are different in terms of the discrimination the Kurdish citizens faces. To test the hypothesis, field research has been effectuated in major neighborhoods of Beyoğlu and Sancaktepe which diverges in terms of perceived discrimination indicators among residents of Kurdish origin. Keywords: Political parties, Ethnic mobilization, Ethnic solidarity, Elite incorporation, Political network, Local politics, Local organizations, Electoral strategy, AKP, Kurdish problem. AK PARTİNİN YEREL DÜZEYDE SİYASETİ: AYRIMCILIK ALGISININ ETNİK MOBİLİZASYONA ETKİSİ ÖZET Bu çalışma siyasal partilerin yerel örgütleri ve etnik kimlik üzerine yapılan çalışmaları birleştirerek etnik kökenli oy davranışındaki farklılıkları anlama amacını gütmektedir. Ayrımcılık algısı ve farklı etnik gruplar arasındaki kutuplaşmanın, benzer göç geçmişleri olan Kürt kökenli vatandaşlar arasında AK Parti’nin kalıcı iletişim kanalları kurma ve bu yolla onları partinin siyasi ağına dahil etme kapasitesini nasıl etkilediğini inceleyecektir. Bu doğrultuda çalışma, kutuplaşması farklı olan ilçelerde, AKP’nin yerel örgüt yapısı ve faaliyetlerinin değişiklik gösterip göstermediğini inceleyecektir. -
Sancaktepe'ye Çok Yakışacak
YIL: 4 • SAYI: 14 • NİSAN-MAYIS-HAZİRAN 2013 • KENT VE YAŞAM KÜLTÜRÜ DERGİSİ Yeni Belediye Hizmet Binasının Temeli Atıldı... Sancaktepe’ye çok yakışacak » Metroya geri sayım başladı » Kent Ormanı Sancaktepe’de » Her mevsim ayrı güzel... Safranbolu » Sancaktepe Belediyespor, Yuvakuran’a emanet 89 YAYIN KOORDİNATÖRÜ'NDEN 1 NİSAN-MAYIS-HAZİRAN 2013 / Sayı:13 SAHİBİ Sancaktepe Belediyesi Adına İsmail ERDEM GENEL YAYIN KOORDİNATÖRÜ Muhammed Ali CANKATAR SORUMLU YAZI İŞLERİ MÜDÜRÜ M. Emin YAVUZ YAYIN KURULU Hamdullah ARVAS Yılmaz ERCAN Yusuf Tarık UÇAR Hasan KAMAL Mehmet GENÇ Abdülhamit KAYGISIZ EDİTÖR Mustafa GÜNAL YAPIM Ajans 1453 FOTOĞRAFLAR Adem TÜRKEL Ali AVCI BASKI Pelikan Basım Tel: 0212 613 79 55 [email protected] www.pelikanbasim.com Değerli dostlar, BASKI TARİHİ 2013 er mevsimin olduğu gibi yaz mevsimi- kaçırmamanızı tavsiye ediyoruz. nin de sayısız güzellikleri bulunuyor. H11 Ayın Sultanı Ramazan ayının bu Gördüğünüz gibi yaz mevsimi Sancaktepe’de ay içerisinde idrak edilecek olması, içimizde- dolu dolu geçecek. Bu güzellikleri doya doya ki yaz coşkusunu daha da artırıyor. Kardeşlik yaşarken sıcak havalara özellikle dikkat edin; bağlarımızı güçlendirmek için en güzel fırsatı fazla güneşte kalmamaya özen gösterin. sunan bu mübarek ayın ilçemizde doyasıya Sağlık sayfalarımızda aşırı sıcakların sebep yaşanması ve manevi iklimin hep birlikte pay- olabileceği çeşitli rahatsızlıklar ve bunlardan laşılması için Sancaktepe Belediyesi tarafın- korunma yöntemlerini bulabilirsiniz... dan düzenlenecek Ramazan etkinlikleri ve so- kak iftarlarının -
A Deep Learning System for Differential Diagnosis of Skin Diseases
A deep learning system for differential diagnosis of skin diseases 1 1 1 1 1 1,2 † Yuan Liu , Ayush Jain , Clara Eng , David H. Way , Kang Lee , Peggy Bui , Kimberly Kanada , ‡ 1 1 1 Guilherme de Oliveira Marinho , Jessica Gallegos , Sara Gabriele , Vishakha Gupta , Nalini 1,3,§ 1 4 1 1 Singh , Vivek Natarajan , Rainer Hofmann-Wellenhof , Greg S. Corrado , Lily H. Peng , Dale 1 1 † 1, 1, 1, R. Webster , Dennis Ai , Susan Huang , Yun Liu * , R. Carter Dunn * *, David Coz * * Affiliations: 1 G oogle Health, Palo Alto, CA, USA 2 U niversity of California, San Francisco, CA, USA 3 M assachusetts Institute of Technology, Cambridge, MA, USA 4 M edical University of Graz, Graz, Austria † W ork done at Google Health via Advanced Clinical. ‡ W ork done at Google Health via Adecco Staffing. § W ork done at Google Health. *Corresponding author: [email protected] **These authors contributed equally to this work. Abstract Skin and subcutaneous conditions affect an estimated 1.9 billion people at any given time and remain the fourth leading cause of non-fatal disease burden worldwide. Access to dermatology care is limited due to a shortage of dermatologists, causing long wait times and leading patients to seek dermatologic care from general practitioners. However, the diagnostic accuracy of general practitioners has been reported to be only 0.24-0.70 (compared to 0.77-0.96 for dermatologists), resulting in over- and under-referrals, delays in care, and errors in diagnosis and treatment. In this paper, we developed a deep learning system (DLS) to provide a differential diagnosis of skin conditions for clinical cases (skin photographs and associated medical histories).