Comparison of frailty instruments for predicting mortality and prolon ged hospitalization in acute coronary syndrome patients. by Anne Langsted, Jocelyne Benatar, Andrew Kerr, Katherine Bloomfield, Gerry Devlin, Alexander Sasse, David Smythe, Andrew To, Harvey White, Gerrard Wilkins, Ralph Stewart

“…<h4>Conclusion</h4>In older patients assessed following an acute coronary syndrome the EFS discriminated the risk of all cause mortality and prolonged hospitalization better than the CFS and Fried tests, and improved risk discrimination when added to clinical risk scores.…”
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Combination of an E-Nose and an E-Tongue for Adulteration Detection of Minced Mutton Mixed with Pork by Xiaojing Tian, Jun Wang, Zhongren Ma, Mingsheng Li, Zhenbo Wei

“…The discrimination results were evaluated and compared by canonical discriminant analysis (CDA) and Bayesian discriminant analysis (BAD). …”
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Prognostic Factors and a Predictive Nomogram of Cancer-Specific Survival of Epithelial Ovarian Cancer Patients with Pelvic Exenteration Treatment by Ting Wang, Xin Fu, Lei Zhang, Shuna Liu, Ziqi Tao, Fang Wang

“…In internal validation, the C index, calibration curve, and decision curve analysis (DCA) were employed to assess the discrimination, calibration, and clinical utility of the models, respectively. …”
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A Nomogram to Predict Benign/Malignant Mediastinal Lymph Nodes Based on EBUS Sonographic Features by Bingchao Ling, Weishun Xie, Yi Zhong, Taowen Feng, Yueli Huang, Lianying Ge, Aiqun Liu

“…Both the training and validation sets of 5 EBUS features nomogram showed good discrimination, with area under the curve values of 0.880 (sensitivity = 0.829 and specificity = 0.807) and 0.905 (sensitivity = 0.819 and specificity = 0.857). …”
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Cholinergic Potentiation of Restoration of Visual Function after Optic Nerve Damage in Rats by Mira Chamoun, Elena G. Sergeeva, Petra Henrich-Noack, Shaobo Jia, Lisa Grigartzik, Jing Ma, Qing You, Frédéric Huppé-Gourgues, Bernhard A. Sabel, Elvire Vaucher

“…Donepezil administration enhanced brightness discrimination capacity after optic nerve crush compared to nontreated animals. …”
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Reducing Inequality through Parental Support: Building Social Resilience in Indonesia’s Indigenous Religious Communities by Novianti Wiwik, Noegroho Agoeng, Saputra Diki, Bunga Maharani Annisa, Lotulung Leviane J.H., Pinky Syalomita Kimberly, Desmiwati Desmiwati

“…This exclusion has led to bullying, discrimination, and feelings of inferiority among these communities. …”
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Exploring the potential of aerial drone imagery to distinguish breeding Adélie (Pygoscelis adeliae), chinstrap (Pygoscelis antarcticus) and gentoo (Pygoscelis papua) penguins in An... by Christian Pfeifer, Stefan Knetsch, Jakob Maercker, Osama Mustafa, Marie-Charlott Rümmler, Alexander Brenning

“…The aim of this study is to explore the possibilities and limitations of species discrimination in aerial optical imagery, particularly using very high-resolution aerial imagery. …”
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Validation of the Kidney Failure Risk Equation in the Colombian Population by C. Larrarte, J. Vesga, F. Ardila, A. Aldana, D. Perea, M. Sanabria

“…Risk equations have been developed and validated in cohorts outside of Colombia, so this study aims to evaluate the discrimination and calibration of the four-variable kidney failure risk equation in a Colombian population where it has yet to be validated. …”
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Study on the prediction model of non-suicidal self-injury behavior risk during hospitalization for adolescent inpatients with depression based on medical data by Yanyan Zhang, Huirong Guo, Yali Wang, Junru Wang, Yuming Ren

“…The nomogram showed satisfactory discrimination in both the training (AUC 0.927; 95 % CI: 0.844–0.905) and validation (AUC 0.907; 95 % CI: 0.879–0.902) sets. …”
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Clinical Features on Sensory Dysfunction of Upper Limbs of Patients with Unilateral Stroke by SHAO Peng, JIA Jie

“…There were statistically significant differences in the types of sensory dysfunction between the two groups (<italic>P</italic>&lt;0.001). (3) Severity of sensory disorders: compared with the cerebral infarction group, the sensory impairments in pinprick, temperature, tactile sensation, position sensation, kinesthesia, vibration, tactile localization, stereognosis and two-point discrimination of the cerebral hemorrhage group were more serious.ConclusionThe inhibitory symptoms of upper limb sensory dysfunctions were more common in stroke patients, while the stimulating symptoms were relatively less; the patients with stroke often suffered from deep, superficial and complex sensory function impairments. …”
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Which social determinants of health have the highest impact in community oncology to advance patient care equity and improve health outcomes? A scoping review by Kayleigh R. Majercak, Emily F. Gorman, Nicholas J. Robert, Barbara Palmer, Henry Asante Antwi, C. Daniel Mullins

“…The most frequently SDOH‐health equity pairs identified were the SDOH categories, social inclusion and non‐discrimination, income and social protection, and structural conflict, all paired with the health equity category, access to care/treatment. …”
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IAPSM Position Paper on Vertical Transmission of HIV from Mother to Child by Dhrubajyoti J. Debnath, Sanjay K. Rai, Suchit Kamble, Nilesh Gawade, Meenal M Thakare, Purushottam Giri, Shubhada Suresh Javadekar

“…Overcoming barriers to medication adherence, such as stigma and discrimination, is crucial for effective prevention and treatment. …”
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APACHE IV Is Superior to MELD Scoring System in Predicting Prognosis in Patients after Orthotopic Liver Transplantation by Yueyun Hu, Xianling Zhang, Yuan Liu, Jun Yan, Tiehua Li, Ailing Hu

“…The area under the receiver operating characteristic curve (AUC) and the Hosmer-Lemeshow C statistic were used to assess the discrimination and calibration of APACHE IV and MELD, respectively. …”
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Evidence mapping on barriers in accessing prenatal healthcare services among homeless women: a scoping review by Monsurat Adepeju Lateef, Julian David Pillay

“…Theme 1 has four categories that emerged: lack of awareness; fear of stigma and discrimination; previous negative experiences; and financial constraints. …”
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Research on the robustness of convolutional neural networks in image recognition by Dian LIN, Li PAN, Ping YI

“…Convolutional neural network is one of the key technologies in the application of image recognition and processing in artificial intelligence.Its wide application makes researches on its robustness more and more important.Previous researches on robustness of neural networks were too sweeping and most of them focused on adversarial robustness, which causes difficulty in further study in the mechanism of neural network robustness.The related researches of neuroscience were introduced and the concept of visual robustness was put forward.By studying the similarity and difference between neural network models and human visual system, the internal mechanism and faults of neural network robustness were revealed.The researches of neural network robustness in recent years were reviewed, and the reasons for the lack of robustness of neural network models were analyzed.The lack of robustness of neural networks is reflected in their sensitivity to small perturbations.The reason is that neural networks tend to learn high-frequency information for calculation and inference, which is difficult for humans to recognize.High-frequency information is easily affected by perturbations, and eventually causes mistakes of models.Previous researches on robustness mostly focused on mathematical properties of models, and were limited in the natural faults of neural networks.Visual robustness extends the traditional concept of robustness.The traditional concept of robustness measures the discrimination ability of models for distorted image examples.Distorted examples and clean examples can get correct outputs through robust models.Visual robustness measures the consistency between models and humans in discrimination ability.Visual robustness combines the research methods and achievements of neuroscience and psychology with artificial intelligence.The development of neuroscience in the field of vision were reviewed, and the application of research methods of cognitive psychology in neural network robustness were discussed.Human visual system has advantages in learning and abstract ability, whill neural network models have better performance in calculation speed and memory.The difference between the physiological structure of human brain and the logical structure of neural network models is the key factor leading to the problem of robustness of neural networks.The research of visual robustness requires deeper understanding of human visual system.Revealing the differences in cognitive mechanism between human visual system and neural network models and effectively improving the algorithm are the development trends of neural network robustness and even artificial intelligence.…”
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Distinguishing glioblastoma from brain metastasis; a systematic review and meta-analysis on the performance of machine learning by Mohammad Amin Habibi, Reza Omid, Shafaq Asgarzade, Sadaf Derakhshandeh, Ali Soltani Farsani, Zohreh Tajabadi

“…Abstract Background The discrimination of glioblastoma and solitary metastasis brain tumor is challenging. …”
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Rapid Classification and Treatment Algorithm of Cardiogenic Shock Complicating Acute Coronary Syndromes: The SAVE ACS Classification by Vasileios Panoulas, Charles Ilsley

“…Based on these predictors, we created the SAVE (SBP, Arterial blood gas, and left Ventricular Ejection fraction) ACS classification, which showed good discrimination for 30-day AUC 0.814 (0.782 to 0.845) and long-term mortality plog−rank<0.001. …”
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Risk factors and preventive measures for abnormal blood pressure during hemodialysis filtration for patients with sepsis by Zhang Chunfang, Lin Tingting, Xia Yu, Zhang Daowei

“…A nomogram model for prediction was constructed based on the results of multivariate analysis, and its discrimination and consistency were assessed using receiver operating characteristic and calibration curves. …”
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Examining the Challenges of HIV Positive People With Disabilities in Accessing Medical Services in Rukungiri District: A Case Study of Nyakishenyi Sub-County by Atuheire, Fortunate

“…The study findings on factors that hinder people with disabilities in accessing medical services were; discrimination due to their disabilities, poor assumptions that persons with disabilities are not at risk of contracting HIV and therefore do not require access to HIV prevention, poverty among the people with disabilities, inaccessibility of health services and exclusion of people with disabilities from sexuality education. …”
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Effets du stigmate et accès aux soins des femmes prostituées tunisiennes by Faten Msakni

“…Access to health care is a major problem for them, because of the discrimination and stigma they face on a daily basis, especially on the part of public health officials. …”
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