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Difficulty-aware Meta-learning for Rare Disease Diagnosis
[article]
2020
arXiv
pre-print
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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
2020
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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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]
2022
arXiv
pre-print
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), 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
2012
International Journal of Risk and Safety in Medicine
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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?
2019
Genes
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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
2022
Journal of Pathology Research Reviews & Reports
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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]
2020
arXiv
pre-print
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2020 pre-print arXiv:2010.04308v1 fatcat:3ifaosd6trfmjk3xhz22h32wfm
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
2010
Clinical medicine (London)
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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
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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
2012
Seminars in Oncology Nursing
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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
2021
Dermatopathology
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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
2017
Trials
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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
2017
Archives of Disease in Childhood - Education and Practice
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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
2015
BMC Medicine
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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
2020
JAMA Network Open
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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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