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This approach involves iterating over each row in the Patients table. We split the 'conditions' string by spaces and check if any of the resulting parts starts with the prefix 'DIAB1'. If so, we include that patient in our result set.
Time Complexity: O(n * m), where n is the number of patients and m is the average number of conditions per patient.
Space Complexity: O(n) due to the space needed to store the result list.
1def get_patients_with_diab1(patients):
2 result The solution defines a function get_patients_with_diab1 that takes a list of tuples as input, where each tuple represents a row from the Patients table. It iterates over each patient, splits the 'conditions' string into a list of condition codes, and checks if any of those conditions start with 'DIAB1'. If a match is found, the patient's details are added to the result list.
This approach utilizes regular expressions to find patients with conditions starting with 'DIAB1'. It iterates over each patient's 'conditions' and uses a regex pattern to perform the check.
Time Complexity: O(n * m), where n is the number of patients and m is the length of the conditions string.
Space Complexity: O(n), proportional to the result list size.
1using System;
2using System.Collections.Generic;
3using System.Text.RegularExpressions;
4
5public class Solution {
6 public List<Tuple<int, string, string>> GetPatientsWithDiab1(List<Tuple<int, string, string>> patients) {
7 List<Tuple<int, string, string>> result = new List<Tuple<int, string, string>>();
8 Regex regex = new Regex(@"\bDIAB1\d*");
9 foreach (var patient in patients) {
10 var conditions = patient.Item3;
11 if (regex.IsMatch(conditions)) {
12 result.Add(patient);
13 }
14 }
15 return result;
16 }
17}In this C# solution, a Regex object is created to match any condition starting with 'DIAB1'. The IsMatch method is used on each patient's conditions to detect if any part of the string starts with 'DIAB1'. Matched patients are collected in the result list.