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• W4285256089 abstract "Computational modeling can be defined as the use of computers for studying and simulating complex systems, such as the human brain, organisms, and Earth’s global climate, using mathematics, physics, and computer science. Cancer is a complicated and heterogeneous illness that involves a large number of cells, reactions, and events that take place throughout time. Computational modelling, in combination with experimental studies and clinical testing, can help researchers better understand cancer and develop better treatment techniques. Computational modeling supplies tools for tackling the complexity of cancer and providing a detailed mechanistic insight that tells us which treatment is appropriate for a patient, whether a cancer medicine will stop a tumour from growing and whether a cancer drug will have an effect on healthy tissues in the human body. Many previous studies of Computational modeling are used for cancer diagnosis that is comparatively efficient and less weak. Gene expression microarray technology, which is generally used for cancer diagnosis, prediction, or prognosis, suffers from the curse of a dimensional problem. This problem can be solved using gene selection, which is implemented to the microarray for choosing the most useful features from the original features. The selecting of the optimal number of informative genes is considered an NP-hard problem. The meta-heuristic algorithms (MAs) which are robust at choosing the best solutions for complicated optimization problems for solving NP-hard problems, are also beneficial for solving big problems in sensible computational time. Meta-heuristic algorithms have become popular and powerful in computational modeling and many applications. The core of meta-heuristics Algorithms (MAs) is convenient for choosing the most informative and relative features as preprocessing step to Machine Learning (ML) step for achieving the highest classification accuracy for cancer diagnosis. This chapter introduces a comparative study among the most common MAs algorithms combined with ML computational modeling techniques for cancer diagnosis." @default.
• W4285256089 created "2022-07-14" @default.
• W4285256089 creator A5022758985 @default.
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• W4285256089 creator A5056436780 @default.
• W4285256089 creator A5077442296 @default.
• W4285256089 date "2022-01-01" @default.
• W4285256089 modified "2023-09-24" @default.
• W4285256089 title "Intelligent Computational Models for Cancer Diagnosis: A Comprehensive Review" @default.
• W4285256089 cites W1485635514 @default.
• W4285256089 cites W1510235158 @default.
• W4285256089 cites W1520812622 @default.
• W4285256089 cites W152325026 @default.
• W4285256089 cites W1523989055 @default.
• W4285256089 cites W1559956479 @default.
• W4285256089 cites W1573465223 @default.
• W4285256089 cites W1733986422 @default.
• W4285256089 cites W1963763787 @default.
• W4285256089 cites W1965764284 @default.
• W4285256089 cites W1968072716 @default.
• W4285256089 cites W1970156673 @default.
• W4285256089 cites W1971717685 @default.
• W4285256089 cites W1972785704 @default.
• W4285256089 cites W1974760395 @default.
• W4285256089 cites W1977007469 @default.
• W4285256089 cites W1980688822 @default.
• W4285256089 cites W1984144394 @default.
• W4285256089 cites W1993573509 @default.
• W4285256089 cites W1993805713 @default.
• W4285256089 cites W1996178798 @default.
• W4285256089 cites W2017538986 @default.
• W4285256089 cites W2019184705 @default.
• W4285256089 cites W2019201005 @default.
• W4285256089 cites W2019942604 @default.
• W4285256089 cites W2024060531 @default.
• W4285256089 cites W2033356908 @default.
• W4285256089 cites W2035285845 @default.
• W4285256089 cites W2037440909 @default.
• W4285256089 cites W2043408929 @default.
• W4285256089 cites W2047094503 @default.
• W4285256089 cites W2047099264 @default.
• W4285256089 cites W2056296562 @default.
• W4285256089 cites W2061438946 @default.
• W4285256089 cites W2062830115 @default.
• W4285256089 cites W2069928051 @default.
• W4285256089 cites W2103291381 @default.
• W4285256089 cites W2108899349 @default.
• W4285256089 cites W2109363337 @default.
• W4285256089 cites W2117613928 @default.
• W4285256089 cites W2117692326 @default.
• W4285256089 cites W2118578744 @default.
• W4285256089 cites W2119387367 @default.
• W4285256089 cites W2122210511 @default.
• W4285256089 cites W2123822128 @default.
• W4285256089 cites W2127824649 @default.
• W4285256089 cites W2128382462 @default.
• W4285256089 cites W2128954654 @default.
• W4285256089 cites W2129659619 @default.
• W4285256089 cites W2131987814 @default.
• W4285256089 cites W2137349930 @default.
• W4285256089 cites W2141964538 @default.
• W4285256089 cites W2142594886 @default.
• W4285256089 cites W2143426320 @default.
• W4285256089 cites W2148633389 @default.
• W4285256089 cites W2153635508 @default.
• W4285256089 cites W2154053567 @default.
• W4285256089 cites W2158137698 @default.
• W4285256089 cites W2228745449 @default.
• W4285256089 cites W2230939080 @default.
• W4285256089 cites W2290883490 @default.
• W4285256089 cites W2335170513 @default.
• W4285256089 cites W2530996262 @default.
• W4285256089 cites W2541545822 @default.
• W4285256089 cites W2595828237 @default.
• W4285256089 cites W2737032284 @default.
• W4285256089 cites W2748752266 @default.
• W4285256089 cites W2755919596 @default.
• W4285256089 cites W2761058956 @default.
• W4285256089 cites W2771640894 @default.
• W4285256089 cites W2783827472 @default.
• W4285256089 cites W2786381666 @default.
• W4285256089 cites W2807873996 @default.
• W4285256089 cites W2886146836 @default.
• W4285256089 cites W2889545660 @default.
• W4285256089 cites W2901508646 @default.
• W4285256089 cites W2912089055 @default.
• W4285256089 cites W2919979744 @default.
• W4285256089 cites W2921990027 @default.
• W4285256089 cites W2935789419 @default.
• W4285256089 cites W2962182762 @default.
• W4285256089 cites W2968214872 @default.
• W4285256089 cites W2980570898 @default.
• W4285256089 cites W2982453621 @default.
• W4285256089 cites W2984191725 @default.
• W4285256089 cites W2984257858 @default.
• W4285256089 cites W2989603874 @default.
• W4285256089 cites W2991555241 @default.
• W4285256089 cites W2995416367 @default.

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