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Difficulty-aware Meta-learning for Rare Disease Diagnosis [article]

Xiaomeng Li, Lequan Yu, Yueming Jin, Chi-Wing Fu, Lei Xing, Pheng-Ann Heng
2020 arXiv   pre-print
In this paper, we present a difficulty-aware meta-learning method to address rare disease classifications and demonstrate its capability to classify dermoscopy images.  ...  Our key approach is to first train and construct a meta-learning model from data of common diseases, then adapt the model to perform rare disease classification.To achieve this, we develop the difficulty-aware  ...  Conclusion In this paper, we propose a novel difficulty-aware meta-learning method to tackle the extremely low-data regime problem, i.e., rare disease classification.  ... 
arXiv:1907.00354v2 fatcat:vxsiqokfxrgqta727nws5pdshe

Meta-DermDiagnosis: Few-Shot Skin Disease Identification using Meta-Learning

Kushagra Mahajan, Monika Sharma, Lovekesh Vig
2020 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
Annotated images for diagnosis of rare or novel diseases are likely to remain scarce due to small affected patient population and limited clinical expertise to annotate images.  ...  We named the proposed method Meta-DermDiagnosis because it utilizes meta-learning based few-shot learning techniques such as the gradient based Reptile and distance metric based Prototypical networks for  ...  propose their own difficulty-aware meta-learning (DAML) method that uses a 4-layer CNN. The meta-learning setting is similar for DAML and our approach.  ... 
doi:10.1109/cvprw50498.2020.00373 dblp:conf/cvpr/MahajanSV20 fatcat:5zww6tglezhvpdwmdacmu2lpim

Sub-cluster-aware Network for Few-shot Skin Disease Classification [article]

Shuhan LI, Xiaomeng Li, Xiaowei Xu, Kwang-Ting Cheng
2022 arXiv   pre-print
), we design a novel Sub-Cluster-Aware Network, namely SCAN, for rare skin disease diagnosis with enhanced accuracy.  ...  We evaluate the proposed approach on two public datasets for few-shot skin disease classification.  ...  In the group of meta-learning based methods, Li et al. built a Difficulty-Aware Meta-Learning method (DAML) based on MAML, which considers various difficulties in different episodic tasks.  ... 
arXiv:2207.01072v1 fatcat:ccynjhbeu5e27epgrjlzv3t54i

A cold of the soul: a Japanese case of disease mongering in psychiatry

Hiroshi Ihara
2012 International Journal of Risk and Safety in Medicine  
In Japan, depression provides the most drastic example of the impact of disease awareness campaigns.  ...  It falsified the nature of treatment for depression by concealing the putative duration of medication.  ...  Opponents however refute this argument, claiming that the true intent of disease awareness campaigns is primarily or even exclusively to produce profit for the drug companies.  ... 
doi:10.3233/jrs-2012-0560 pmid:22751193 fatcat:mxp35gfmmbeijl6euoajyys2q4

Artificial Intelligence (AI) in Rare Diseases: Is the Future Brighter?

Brasil, Pascoal, Francisco, dos Reis Ferreira, Videira, Valadão
2019 Genes  
Rare diseases (RDs), which are severely underrepresented in basic and clinical research, can particularly benefit from AI technologies.  ...  Artificial intelligence (AI), with an emphasis on deep learning, holds great promise in this area and is already being successfully applied to basic research, diagnosis, drug discovery, and clinical trials  ...  Phenotype-Driven Diagnosis The heterogeneous association network for rare diseases (HANRD) is a phenotype-driven RD gene prioritization system.  ... 
doi:10.3390/genes10120978 pmid:31783696 pmcid:PMC6947640 fatcat:wzghxueer5cahkjyxdwq2g24du

Cognitive Bias in Medical Decision Making

Rateesh Sareen, Consultant Pathology, Santokba Durlabhji Memorial Hospital & Research Center, Jaipur
2022 Journal of Pathology Research Reviews & Reports  
Growing awareness for such biases is need of hour as only then de biasing techniques could be adopted to prevent such cognitive errors.  ...  For instance, consider a female with signs and symptoms of iron deficiency anemia complaining of difficulty in deglutination.  ...  Playing the Odds The signs and symptoms of common benign disease mimic more serious rare disorders.  ... 
doi:10.47363/jpr/2022(4)142 fatcat:hsrssokpevbqlgfsenz24tbgai

Addressing the Real-world Class Imbalance Problem in Dermatology [article]

Wei-Hung Weng, Jonathan Deaton, Vivek Natarajan, Gamaleldin F. Elsayed, Yuan Liu
2020 arXiv   pre-print
especially for rare classes.  ...  Class imbalance is a common problem in medical diagnosis, causing a standard classifier to be biased towards the common classes and perform poorly on the rare classes.  ...  Difficulty-aware meta- learning for rare disease diagnosis. arXiv preprint arXiv:1907.00354, 2019. Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár.  ... 
arXiv:2010.04308v2 fatcat:zjohavjyfvexncqqes6jem5r7a

Endorsement of peer review

H. John, N. Erb, I. F. Rowe
2010 Clinical medicine (London)  
team cohesion and lack of awareness of learning and teaching skills.  ...  It did, however, miss the chance to highlight a very important differential diagnosis, Pompe's disease which is sometimes called glycogen storage disease type 2 or acid maltase deficiency.  ... 
doi:10.7861/clinmedicine.10-6-639a pmid:21416672 pmcid:PMC4951885 fatcat:xq75jzs7vbbhdfkxqbapiozrpu

Clinical care and other categories posters: Case reports

2021 Diabetic Medicine  
A meta-analysis of observational studies Aims: Cardiovascular outcome trials with sodium-glucose co-transporter-2 (SGLT2) inhibitors have demonstrated efficacy in reducing risk for hospitalisation for  ...  Conclusions: SGLT2 inhibitors reduce the risk of hospitalisation for heart failure in people with type 2 diabetes including those without cardiovascular disease.  ...  A had a history of hypoglycaemia, seizures and learning difficulties. Her diagnosis of HIHA was confirmed after the diagnosis of her first child who had neonatal hypoglycaemia.  ... 
doi:10.1111/dme.25_14556 fatcat:bcpmzgdswffjnfnkvtaqyzxzse

The Impact of Caregiving on the Psychological Well-Being of Family Caregivers and Cancer Patients

Laurel L. Northouse, Maria C. Katapodi, Ann M. Schafenacker, Denise Weiss
2012 Seminars in Oncology Nursing  
IMPLICATIONS FOR NURSING PRACTICE: Nurses need to assess patients and family caregivers for distress and intervene to reduce distress by fostering patient-caregiver teamwork, communication, and self-care  ...  OBJECTIVES: To provide an overview of patient and caregiver emotional distress; examine the sources of their distress, review evidence-based interventions that can reduce distress, and provide guidelines for  ...  Diagnosis Treatment Survivorship Recurrence Advanced/End of Life Awareness of hereditary cancer in family Involvement in decisions about genetic testing Difficulties with family communication  ... 
doi:10.1016/j.soncn.2012.09.006 pmid:23107181 fatcat:latdaulofjgqfgzq4wq2dqrv2m

Artificial Intelligence in Dermatopathology: New Insights and Perspectives

Gerardo Cazzato, Anna Colagrande, Antonietta Cimmino, Francesca Arezzo, Vera Loizzi, Concetta Caporusso, Marco Marangio, Caterina Foti, Paolo Romita, Lucia Lospalluti, Francesco Mazzotta, Sebastiano Cicco (+5 others)
2021 Dermatopathology  
In recent years, an increasing enthusiasm has been observed towards artificial intelligence and machine learning, involving different areas of medicine.  ...  although still in the embryonic stage, the dermatopathological field has also been partially involved, with the attempt to develop and train algorithms that could assist the pathologist in the differential diagnosis  ...  The corresponding figure for inflammatory skin diseases was 23.0%.  ... 
doi:10.3390/dermatopathology8030044 pmid:34563035 fatcat:lmjhkhfgezewperomhbosshs2a

Specific barriers to the conduct of randomised clinical trials on medical devices

Edmund A. M. Neugebauer, Ana Rath, Sunya-Lee Antoine, Michaela Eikermann, Doerthe Seidel, Carsten Koenen, Esther Jacobs, Dawid Pieper, Martine Laville, Séverine Pitel, Cecilia Martinho, Snezana Djurisic (+6 others)
2017 Trials  
Medical devices play an important role in the diagnosis, prevention, treatment and care of diseases.  ...  , acceptability, blinding, choice of the comparator group and considerations on the learning curve; (2) difficulties in determining appropriate outcomes; and (3) the lack of scientific advice, regulations  ...  Acknowledgements The ECRIN-IA grant from the EU FP7 is thanked for support for meetings and for the conduct of this review. The Mario Negri Institute is thanked for housing the ECRIN-IA meeting in  ... 
doi:10.1186/s13063-017-2168-0 pmid:28903769 pmcid:PMC5597993 fatcat:4h2gej3livbeljzxpuqnhw7pny

Fifteen-minute consultation: the child with pica

Ben McNaughten, Thomas Bourke, Andrew Thompson
2017 Archives of Disease in Childhood - Education and Practice  
Key messages ► Pica is the persistent ingestion of non-nutritive substances for more than 1 month at an age at which this behaviour is deemed inappropriate. ► It occurs most commonly in children, in patients  ...  with learning disabilities and in pregnancy. ► The aetiology is poorly understood. ► History and examination should be tailored to address potential complications of the substance being ingested. ► Complications  ...  It may persist into adolescence when it is usually associated with learning difficulties. 4 Studies suggest pica can be present in between 5% and 25% of children with learning difficulties.  ... 
doi:10.1136/archdischild-2016-312121 pmid:28487433 fatcat:wpwu7bjlmffhdml6itfpr4v7sm

Exploration of the treatment challenges in men with intellectual difficulties and testicular cancer as seen in Down syndrome: single centre experience

Shaista Hafeez, Mausam Singhera, Robert Huddart
2015 BMC Medicine  
However, individuals with Down syndrome may have learning difficulties, behavioural problems, and multiple systemic complications that have the potential to make standard treatment more risky and necessitates  ...  These tumours ordinarily have a high cure rate even in widely disseminated disease.  ...  We also acknowledge NHS funding to the NIHR Biomedical Research Centre for Cancer and to Cancer Research UK (CRUK). The views expressed in  ... 
doi:10.1186/s12916-015-0386-4 pmid:26123546 pmcid:PMC4485877 fatcat:puso2w7sdveozazz2ekyfxl47a

Trajectory of Unawareness of Memory Decline in Individuals With Autosomal Dominant Alzheimer Disease

Patrizia Vannini, Bernard J. Hanseeuw, Jennifer R. Gatchel, Sietske A. M. Sikkes, Diana Alzate, Yesica Zuluaga, Sonia Moreno, Luis Mendez, Ana Baena, Paula Ospina-Lopera, Victoria Tirado, Eliana Henao (+4 others)
2020 JAMA Network Open  
In variant carriers, awareness of memory function decreased in the predementia stages, reaching anosognosia close to the age of mild cognitive impairment onset, providing support for the usefulness of  ...  awareness of memory decline.  ...  These scores correspond to a score of 0 to 1 on the Likert scale (eg, participant reporting never or rarely having difficulties) or a score of 1 to 2 on the Likert scale (eg, participant reporting rarely  ... 
doi:10.1001/jamanetworkopen.2020.27472 pmid:33263761 pmcid:PMC7711319 fatcat:lcklzavx7bf3jb7q55kjjexty4
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