Evaluation of Rules for Coping with Insufficient Data in Constraint-Based Search Algorithms

Abstract This essay introduces basic issues that make up the topic of freedom of thought, including newly emerging issues raised by the current proliferation of Internet search algorithms.

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Quantum-walk-based search algorithms with multiple marked vertices

Physical Review A ◽

10.1103/physreva.103.062202 ◽

2021 ◽

Vol 103 (6) ◽

Author(s):

G. A. Bezerra ◽

P. H. G. Lugão ◽

R. Portugal

Keyword(s):

Quantum Walk ◽

Search Algorithms

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Comment on “Individual heterozygosity predicts translocation success in threatened desert tortoises”

Science ◽

10.1126/science.abg2673 ◽

2021 ◽

Vol 372 (6546) ◽

pp. eabg2673

Author(s):

Philip W. Hedrick

Keyword(s):

High Mortality ◽

Unknown Origin ◽

Insufficient Data ◽

Desert Tortoise ◽

Allelic Dropout

Scott et al. (Reports, 27 November 2020, p. 1086) suggest, on the basis of conclusions obtained from a desert tortoise reintroduction program, that higher genomic heterozygosity should be used to identify individuals for successful translocation. I contend that this recommendation is questionable given these relocated tortoises’ unknown origin, their high mortality, insufficient data on resident tortoises and other components of fitness, and potential allelic dropout.

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How to tune the RBF SVM hyperparameters? An empirical evaluation of 18 search algorithms

Artificial Intelligence Review ◽

10.1007/s10462-021-10011-5 ◽

2021 ◽

Author(s):

Jacques Wainer ◽

Pablo Fonseca

Keyword(s):

Empirical Evaluation ◽

Search Algorithms

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Implementation of efficient quantum search algorithms on NISQ computers

Quantum Information Processing ◽

10.1007/s11128-021-03165-2 ◽

2021 ◽

Vol 20 (7) ◽

Author(s):

Kun Zhang ◽

Pooja Rao ◽

Kwangmin Yu ◽

Hyunkyung Lim ◽

Vladimir Korepin

Keyword(s):

Search Algorithms ◽

Quantum Search ◽

Quantum Search Algorithms

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658 An Audit of Frequency of Cancer Genetics Referral in Patients with a Family History of Colorectal Cancer

British Journal of Surgery ◽

10.1093/bjs/znab134.464 ◽

2021 ◽

Vol 108 (Supplement_2) ◽

Author(s):

M Abbakar ◽

T James ◽

P Boxall ◽

M Lim

Keyword(s):

Family History ◽

High Risk ◽

Hereditary Cancer ◽

Risk Category ◽

Average Risk ◽

Insufficient Data ◽

High Risk Patients ◽

Amsterdam Criteria ◽

Family History Questionnaire ◽

Risk Patients

Abstract Introduction Guidelines on the management of hereditary colorectal cancers were updated in 2019. In this study, data from patients within the colonoscopy surveillance programme for hereditary cancer at York Teaching Hospitals Trust were analysed to assess category of risk and appropriateness of referrals to regional geneticists. Method After examination of electronic records and clinical notes, patients were assigned a risk category of average, moderate or high according to the Amsterdam criteria and latest BSG/ACPGBI/UKCGG guidelines. Patients were then assessed to see if a concurrent referral had been made to the regional cancer genetic services. Results There were 228 patients. 72(31.6%) patients were in the average, 81(35.5%) in the moderate and 41(18%) were in the high-risk category. 34 (14.9%) patients with insufficient data and/or assessments were in the indeterminate category. 18 of 72 (25%) patients with average risk were unnecessarily referred to the regional genetics team, while 5/41(12%) of high-risk patients were not. A large proportion of patients with insufficient data (19/34, 55.8%) were rightly or wrongly, referred to the regional genetics team. Conclusions Assessment of hereditary cancer risk is difficult in the absence of good quality information. Risk assessment may be improved with use of a dedicated family history questionnaire/template - this facilitates identification of high-risk patients that benefit most from referral to geneticists.

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